• views: 150
• date: 17 October 2026
• posted by: mata00

Welcome to Copy Systems
Where copywriters & creative strategists make more (while working less).
Trusted by 83+ of the world's top copywriters making $10k -$70k/mo!

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• views: 109
• date: 17 October 2026
• posted by: mata00

At last, a complete, easy-to-use SYSTEM
built especially forentrepreneurs
who need copy that works…FAST …

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• views: 103
• date: 17 October 2026
• posted by: mata00

30MPC - Negotiation Course 4 Levers Negotiating

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• views: 168
• date: 17 October 2026
• posted by: mata00

The 100% systematic way for traders to add high probability options spreads that actually have a high probability of success… WITHOUT taking excessive risk.

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• views: 129
• date: 17 October 2026
• posted by: mata00

Learn zero-based thinking, the 60-40-20 options trading strategy, and how to use Netzero Options to manage a portfolio of reliable options trading strategies.

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• views: 157
• date: 17 October 2026
• posted by: mata00

FOUR systematic strategies that options traders can use to trade high probability spreads that actually have a high probability of success. WITHOUT taking excessive risk.

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• views: 118
• date: 17 October 2026
• posted by: 0nelove

TTC - 12 Equations That Explain Reality
Released 10/2026
By Sean Carroll
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 12 Lessons ( 6h 4m ) | Size: 5.1 GB

From geometry to gravity to relativity and more, uncover the equations that help us understand the world we live in in this 12-lecture course taught by a renowned physicist.

There are some equations that are just magical. Follow the symbols where they lead and light becomes an electromagnetic wave, mass turns out to be a form of energy, spacetime bends, and a new particle is predicted where none had been suspected. You don't need to be a mathematician to marvel that a few marks on a page can uncover hidden features of reality.

12 Equations That Explain Reality introduces you to a dozen such masterpieces that capture with breathtaking economy the way the world works. Your guide is award-winning physicist and popular podcaster Sean Carroll, Homewood Professor of Natural Philosophy at Johns Hopkins University.

Beginning with the Pythagorean theorem, Professor Carroll shows how deceptively simple formulas can possess the elegance, depth, and potential for surprise of great works of art. He covers Newton's laws of motion and universal gravitation, Maxwell's equations of electromagnetism, Einstein's special and general theories of relativity, the Second Law of Thermodynamics, and more.

No background in higher mathematics is needed. Dr. Carroll walks through each equation symbol by symbol, explaining its notation before drawing out its rich implications. Acquainting yourself with these astonishing ideas requires only curiosity. In return, they offer passage to amazing realms—from right triangles and orbiting planets to quantum fields, antimatter, black holes, and an expanding universe. No intellectual journey can possibly take you farther.

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• views: 130
• date: 17 October 2026
• posted by: 0nelove

AI for Business Leaders - 20 Exotic AI Use Cases
Published 10/2026
Created by Prof. Dr. Ana-Maria Olteteanu
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 38 Lectures ( 3h 17m ) | Size: 1.8 GB

Twenty unusual AI use cases, from city plans to music to history. Learn four ways to think, and see real output.

What you'll learn
⚡ Master AI Canvas thinking to design innovative generative AI solutions
⚡ Apply PRD thinking to define responsible AI behavior and boundaries
⚡ Explore 20 unusual AI use cases, from fashion and urban design to VR worlds and museum guides
⚡ Develop systems design thinking for multi-component AI architectures
⚡ Open up an idea with creative prototyping, from experimental music to recipes to alternative history
⚡ Rehearse a hard decision with AI before it counts
⚡ Build rapid prototyping skills to test and validate AI concepts before full implementation
⚡ Read real AI output critically and tell who made each decision, the AI or the person

Requirements
❗ No coding or technical background needed. An AI assistant helps if you want to try the prompts yourself.

Description
This course contains the use of artificial intelligence.

What if your next big idea did not start with a plan, but with a question?

Most AI courses show you the same things: summaries, emails, meeting notes. This course goes somewhere else. You meet twenty unusual use cases. An AI that proposes three plans for a new city district. Experimental music built from a few simple rules. A dish made of ingredients that rarely meet. One decision in history, changed, to see what ripples forward.

Innovation is a skill. Here you practice it, with four ways of thinking

✨ AI Canvas Thinking gives an idea structure.

✨ Creative Prototyping opens it up.

✨ PRD Thinking turns it into a product, with clear behavior and clear limits.

✨ System Design Thinking shows you the whole picture.

How the course works

✨ Every lesson starts with a person and a problem, like Lena and her city district, or Amara and her empty fashion table.

✨ Then you see one way of thinking at work on that problem.

✨ In almost every lesson we ran the example for real. You see the real output, and we tell you who made each decision.

✨ Each module comes with a PDF of the real prompts and outputs.

✨ Lessons are short, so you can learn between meetings.

The twenty use cases reach from fashion, urban design and virtual worlds to museum guides, stage lighting, scientific questions and the voices of historical figures. You do not need to code. You need curiosity, and an AI assistant if you want to try the ideas yourself.

Who teaches you: Prof. Dr. Dr. Ana-Maria Olteteanu, AI researcher with more than 70 scientific publications. She builds AI for people who are not engineers.

Who this course is for
⭐ Business Leaders and executives looking to drive AI innovation in their organizations
⭐ Product managers and innovation professionals building AI product strategies
⭐ Startup founders and entrepreneurs exploring AI-driven business models and innovations
⭐ Technology consultants and digital transformation specialists advising clients on AI adoption
⭐ UX/UI designers interested in designing innovative AI-powered user experiences
⭐ Data scientists and AI engineers seeking real-world use case inspiration for their projects
⭐ Corporate trainers and L&D professionals looking to upskill teams on AI innovation

Homepage

https://rapidgator.net/file/006a82b95255b13d1a7424c0a0bf8391/AI_for_Business_Leaders_-_20_Exotic_AI_Use_Cases.part1.rar.html
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• views: 105
• date: 17 October 2026
• posted by: 0nelove

Automated Viral List Building For Beginners
Published 10/2026
Created by Owais Ahmed
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 9 Lectures ( 1h 28m ) | Size: 508 MB

The Complete Beginner's Guide to Viral List Building: Automate Your Email List & Turn Subscribers into Income

What you'll learn
⚡ Build an email list from scratch using proven, beginner-friendly strategies — no prior experience needed
⚡ Set up automated opt-in forms and landing pages that turn visitors into subscribers 24/7
⚡ Create irresistible lead magnets (freebies) that make people eager to join your list
⚡ Launch viral list-building campaigns where subscribers help you grow your list automatically

Requirements
❗ No email marketing or technical experience needed — everything is taught step by step from scratch

Description
What if you could wake up every morning to a growing list of subscribers — people who are eager to hear from you and ready to buy what you recommend? That's the power of an automated email list, and this course shows you exactly how to build one, even if you're starting from absolute zero.

Automated Viral List Building for Beginners is a complete, step-by-step system for launching, growing, and monetizing an email list on autopilot. No technical skills. No big budget. No prior experience. Just clear, actionable lessons that take you from "I don't even have a list" to "my list grows every single day — automatically."

Here's what you'll learn inside

✨ How to build an email list from scratch using proven, beginner-friendly strategies

✨ Setting up automated opt-in forms and landing pages that convert visitors into subscribers 24/7

✨ Creating irresistible lead magnets (freebies) that make people eager to join your list

✨ Launching viral list-building campaigns where your subscribers help you grow automatically

✨ Configuring autoresponders that send welcome sequences and follow-ups on complete autopilot

✨ Connecting free and low-cost email marketing tools step by step

✨ Driving targeted traffic to your opt-in pages using free and paid methods

✨ Monetizing your list through affiliate offers, products, and promotions

Why does email list building work so well? Because your email list is the only online asset you truly own. Social media platforms can change their algorithms, and ad costs keep rising — but your email list is yours forever. It's your direct line to your audience, and "the money is in the list" is a saying for a reason.

This course is designed for complete beginners. Every lesson is explained in plain language with practical examples, so you can follow along and take action as you learn.

Enroll today and start building the automated email list that will pay you for years to come. Your future subscribers are waiting!

Who this course is for
⭐ Complete beginners who want to build an email list but have no idea where to start

Homepage

https://rapidgator.net/file/9115811b57ce6ab0e3ef5f854c284585/Automated_Viral_List_Building_For_Beginners.rar.html
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• views: 138
• date: 17 October 2026
• posted by: 0nelove

C++ for Absolute Beginners: From Zero to First Projects
Published 10/2026
Created by Jobskillshare Community
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 15 Lectures ( 7h 25m ) | Size: 2.1 GB

Learn C++ fundamentals, Git and GitHub, problem-solving, arrays and pointers, then build a Mini Instagram project.

What you'll learn
⚡ Set up Visual Studio Code and a C++ compiler to write, compile and run beginner programs.
⚡ Explain the difference between code, programs and software, and describe how source code becomes an executable program.
⚡ Use variables, data types, constants, comments and output formatting in C++ programs.
⚡ Apply arithmetic, relational, logical, unary and assignment operators to solve simple problems.
⚡ Use essential Git commands and GitHub to track changes and publish a beginner project portfolio.
⚡ Build a guided Mini Instagram project with signup, login and create, read, update and delete operations.

Requirements
❗ No previous programming experience or formal educational qualification is required.
❗ A desktop or laptop capable of running Visual Studio Code and a C++ compiler.

Description

Start learning C++ from the beginning
Want to learn programming but feel unsure where to start? C++ for Absolute Beginners: From Zero to First Projects takes you from basic programming concepts to building a guided C++ mini project. You do not need previous coding experience or a computer science degree. Bring a computer, curiosity and a willingness to practice.

You will begin by understanding what programming means, how code becomes a program, and the difference between code, programs and software. Simple explanations, everyday analogies and practical examples help you connect unfamiliar ideas to things you already understand. You will set up Visual Studio Code and a C++ compiler, write your first Hello World program, and begin learning how to recognize and correct common beginner errors.

Build your programming foundation step by step
As you progress, you will work with variables, data types, constants and comments, and explore how information is stored in memory. You will learn how identifiers and keywords differ, how to format output, and how manipulators and escape sequences affect what your program displays.

Next, you will use arithmetic, relational, logical, unary and assignment operators to work with data. Conditional statements help your programs make decisions, while loops let them repeat tasks. You will practice if, if-else, else-if, nested conditions, switch statements and the ternary operator, followed by for, while and do-while loops, nested loops, break and continue.

Functions introduce a clearer way to organize your code into reusable pieces. You will learn to create and call functions, pass parameters and return results. From there, you will move into one-dimensional and two-dimensional arrays, then explore pointers, memory addresses and basic pointer arithmetic.

Develop problem solving and version control habits
Learning syntax is only one part of programming. This course also introduces a four-step problem-solving system to help you approach coding tasks methodically. You will practice breaking a problem into smaller parts, developing your logic and checking whether your solution behaves as expected.

You will also set up Git and GitHub and learn essential version control commands, including init, add, commit, push, pull, status, log, clone, branch and merge. These tools help you track changes, organize your work and begin building a portfolio of projects you can explain.

Apply your skills in a guided mini project
The course brings the core concepts together in Mini Instagram, a beginner C++ project with signup, login and create, read, update and delete operations. Following the project gives you an opportunity to connect individual programming topics into a larger program and understand how different parts work together.

Mini Instagram is an educational exercise in programming logic. It is not a production-ready social network or a course in secure authentication. The emphasis is on understanding the implementation, practicing the concepts and developing the confidence to make your own changes.

Use AI thoughtfully and plan your next steps
You will explore the role of AI tools such as ChatGPT as learning assistants while continuing to develop your own understanding. The course also covers portfolio impact, interview preparation, the four Cs of success and habits that support continued learning.

This course is designed for complete beginners, school students, first-year university students and career changers who want a structured introduction to programming. It provides a starting foundation for further C++ study and future project work. Professional development roles and freelance work require additional practice and skills beyond this beginner course.

By the end, you should be able to explain core programming concepts, write small C++ programs, use Git and GitHub for your work, and complete the guided Mini Instagram project. Start with the first lesson, code along with the examples, and build your understanding one step at a time.

Who this course is for
⭐ Complete beginners who want a structured introduction to C++ and programming.
⭐ First-year university students who want to strengthen their programming fundamentals.

Homepage

https://rapidgator.net/file/7875100b38927af44cb1581b255132bb/C___for_Absolute_Beginners_From_Zero_to_First_Projects.part1.rar.html
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• views: 101
• date: 17 October 2026
• posted by: 0nelove

Claude Masterclass 2026: Cowork, Code, Skills, Agents & Work
Last updated 10/2026
Created by AI Fire
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 9 Lectures ( 1h 20m ) | Size: 2.3 GB

Master Claude Cowork, Code, Skills & Agents with 200+ Prompts, 101+ AI Cheat Sheets, 50+ Workflows & Business Use Cases

What you'll learn
⚡ Build a practical Claude work system using Cowork, Code, Skills, Projects, MCP, and connected workflows for everyday tasks.
⚡ Use Claude Cowork to organize files, analyze information, create outputs, and handle multi-step work inside a structured workspace.
⚡ Use Claude Code to build, debug, improve, and automate practical projects even if you do not come from a traditional coding background.
⚡ Create reusable Claude Skills that turn your best instructions, workflows, and standards into repeatable systems you can use again.
⚡ Set up Claude Projects with the right context, files, instructions, and knowledge so Claude can work consistently across ongoing tasks.
⚡ Connect Claude to external tools and data with MCP so you can create richer workflows that go beyond a standalone chat experience.
⚡ Use Claude for research, writing, analysis, planning, and decision support through practical workflows built around real work scenarios.
⚡ Build Claude workflows for marketing, content, operations, productivity, research, and business tasks instead of relying on one-off prompts.
⚡ Create reusable templates, prompt systems, and project setups that can be adapted for different roles, clients, teams, or business needs.
⚡ Learn how to choose between Cowork, Code, Projects, Skills, MCP, and Plugins based on the task you want Claude to complete.
⚡ Apply Claude across marketing, operations, productivity, research, and coding through hands-on projects and real use cases.

Requirements
❗ No prior Claude, coding, or AI experience is required.

Description
This course contains the use of artificial intelligence.

In this course, you'll learn how to turn Claude from a simple AI assistant into a powerful system forbuilding workflows, automating tasks, and solving real-world problems.

You'll discover how to use the complete Claude ecosystem, fromClaude Cowork and Claude Code to Skills, MCP, Plugins, and AI Agents, and understand how these capabilities work together to create practical AI-powered workflows.

We'll begin with the foundations of Claude and how to set up Claude for maximum productivity. You'll learn how to write better prompts, manage context effectively, create reusable instructions, and build a workflow that helps Claude deliver more consistent results.

A major focus of this course is helping you move from basic conversations tostructured Claude workflows.

You'll learn how to

✨ Create powerfulClaude Skills for repeatable tasks

✨ Build custom workflows using Claude Projects and reusable instructions

✨ Connect Claude with external tools usingMCP

✨ Extend Claude's capabilities withplugins and integrations

✨ Design AI agents that can analyze information and complete complex tasks

You'll also explore practical Claude applications across different areas, including

✨ Content creation and marketing workflows

✨ Research and document analysis

✨ Business automation systems

✨ Data processing and reporting

✨ Coding assistance with Claude Code

✨ Building AI-powered solutions for clients and teams

Throughout the course, you'll get access to a growing library of practical resources, including200+ prompts, 101+ AI cheat sheets, workflow templates, and Claude-focused guides that you can apply directly to your own projects.

You'll also learn how to create your ownClaude AI operating system, where Claude becomes a personalized assistant designed around your goals, tasks, and workflows.

By the end of this course, you'll have the knowledge and frameworks to confidently use Claude for more than answering questions. You'll be able to build practical AI workflows, automate repetitive work, and create systems that support your daily productivity or business operations.

This is a hands-on course built aroundreal demonstrations, practical workflows, and real business use cases, so you can start applying Claude immediately in your work, projects, or business.

Who this course is for
⭐ Professionals, creators, marketers, founders, freelancers, developers, and knowledge workers who want to use Claude as a practical system for real work.
⭐ Learners who want to move beyond basic prompting and use Claude Cowork, Claude Code, Skills, Projects, MCP, and connected workflows for research, content, automation, coding, productivity, and business tasks.
⭐ Teams and professionals exploring how Claude can support repeatable workplace workflows and improve everyday productivity.

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• views: 170
• date: 17 October 2026
• posted by: 0nelove

Complete Greek Course: Master Greek Grammar | Level 4 (B1)
Published 10/2026
Created by Thanasis Mandrapilias
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 11 Lectures ( 1h 27m ) | Size: 1.2 GB

Learn Greek Grammar FAST – Advanced Structures Made Simple!

What you'll learn
⚡ Speak in Greek in everyday situations using the correct Grammar
⚡ Put sentences together with ease
⚡ Use proper Grammar, from how to use the Passive Voice to forming complex nouns and verbs in real-life situations
⚡ Improve grammar skills through quizzes and practice

Requirements
❗ Basic knowledge of Modern Greek
❗ Not for complete beginners, basic knowledge of Greek Grammar is required

Description

Learn Greek Grammar FAST – Advanced Structures Made Simple!
· Do you already know the basics of Greek grammar but still feel unsure about which tense to use when speaking?

· Do you struggle to distinguish between the Future Simple and Future Continuous, use the perfect tenses correctly, or understand when to use the accusative and genitive cases?

This course is designed to help you take your Greek grammar to the next level and communicate with greater accuracy and confidence.

Through clear explanations in English, practical examples, and quizzes, you will learn how to use Greek verb tenses, understand the different grammatical cases, and form conditional sentences naturally in Modern Greek.

What you'll learn
After completing this course, you will be able to

✨ Understand and use the most important Greek verb tenses, including the Future Continuous, Past Continuous, Present Perfect, Past Perfect, and Future Perfect.

✨ Distinguish between simple and continuous forms of Greek verbs.

✨ Understand the differences between the accusative, genitive, and vocative cases.

✨ Use Greek prepositions with the correct grammatical case.

✨ Form and understand conditional sentences usingif in Greek.

✨ Build longer, more natural sentences and express yourself with greater grammatical precision.

What will this course help you achieve?
By the end of this course, you will have a better understanding of how Greek grammar works in real communication. You will be able to

✨ Talk about ongoing and completed actions more accurately.

✨ Understand the difference between simple and continuous actions.

✨ Use the correct grammatical case after common Greek prepositions.

✨ Address people correctly using the vocative case.

✨ Speak and write Greek with greater accuracy and fluency.

Who is this course for?
This course is ideal for

✨ Students who already know the basics of Modern Greek grammar.

✨ Students who have completed Greek Grammar Levels 1,2 and 3.

✨ Intermediate learners who want to strengthen their understanding of Greek Grammar.

✨ Learners who want to form more complex sentences and communicate more naturally in Greek.

This course is not intended for complete beginners. You should already have a basic understanding of Greek grammar and verb conjugation.

How to work with this course
Each lecture includes clear explanations in English and practical examples, followed by a quiz to help you check your understanding and reinforce what you have learned.

Suggested way to study
✨ Watch each lecture and pay attention to the examples.

✨ Complete the quiz after each lecture.

✨ Review any mistakes and repeat the exercises when necessary.

✨ Practise using the new structures in your own Greek sentences.

You can follow the course from beginning to end or focus on the topics you find most challenging.

So why choose this course?
Learning Greek grammar is not just about memorizing rules. It is about understanding how to use those rules when you speak and write.

This course helps you do exactly that.

✨Clear explanations in English: Understand complex grammar without unnecessary confusion.

✨Practical examples: See how Greek grammatical structures work in context.

✨Targeted quizzes: Test your knowledge and identify areas that need more practice.

✨Step-by-step learning: Build your understanding gradually and develop a stronger grammatical foundation.

✨Practical communication: Learn structures that help you express yourself more precisely in everyday Greek.

Whether you want to improve your speaking, or understand the differences between Greek verb tenses and grammatical cases, this course will help you move forward.

About the course designer
Thanasis is an online Greek teacher and the founder of the Better Greek website and Better Greek YouTube channel. He has been teaching Greek since 2012 and has helped thousands of learners understand Greek grammar through clear explanations, practical examples, and structured lessons.

His teaching approach focuses on making even challenging grammar topics easier to understand and apply in real-life communication.

If you are ready to strengthen your Greek grammar, understand verb tenses more clearly, and build more complex sentences with confidence, this course is for you!

Who this course is for
⭐ Intermediate learners (B1) who want to strengthen their grammar skills.
⭐ Learners who already know basic Greek and want to improve accuracy in speaking
⭐ Self-study learners looking for a structured grammar course

https://rapidgator.net/file/535fac3ac0a171edcf3ee5cf3dada809/Complete_Greek_Course_Master_Greek_Grammar_Level_4_(B1).part1.rar.html
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• views: 99
• date: 17 October 2026
• posted by: 0nelove

Docker for Middleware: Tomcat, JBoss, Liberty, Weblogic 2026
Published 10/2026
Created by JOT Middleware
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 41 Lectures ( 9h 49m ) | Size: 4.9 GB

IBM MQ, WebSphere Liberty, WebLogic, JBoss, Apache, Nginx, Tomcat, Nodejs, Angular, MySQL and more on Docker

What you'll learn
⚡ Understand Docker architecture, images, containers, registries, networks, volumes, and the container lifecycle.
⚡ Install, configure, and manage Docker in Linux environments
⚡ Build custom Docker images using production-ready Dockerfiles
⚡ Containerize real-world middleware applications instead of working only with basic sample containers
⚡ Deploy and manage Apache HTTP Server, Nginx, Tomcat, JBoss/WildFly, WebLogic, WebSphere Liberty, and IBM MQ using Docker
⚡ Understand how middleware configuration, application files, logs, and persistent data should be managed inside containers
⚡ Configure Docker networking for communication between web servers, application servers, databases, and other middleware components
⚡ Implement persistent storage using Docker volumes and bind mounts
⚡ Deploy multi-container middleware environments using Docker Compose
⚡ Work with Docker Hub and private container registries to tag, push, pull, and manage middleware images
⚡ Perform hands-on labs based on real-time middleware implementation scenarios
⚡ Build a strong Docker foundation for moving into Kubernetes, OpenShift, AKS, EKS, and enterprise container platforms

Requirements
❗ Basic understanding of Linux operating systems and command-line operations is helpful.
❗ Basic knowledge of middleware technologies such as Apache, Nginx, Tomcat, JBoss/WildFly, WebLogic, WebSphere Liberty, or IBM MQ is beneficial but not mandatory.
❗ No previous Docker or container experience is required. Docker concepts are explained from the fundamentals.
❗ A laptop or desktop with sufficient resources to run Docker and perform the hands-on labs.
❗ Basic understanding of networking concepts such as IP addresses, ports, DNS, and client-server communication will be helpful.
❗ Most importantly, students should be willing to practice the hands-on labs and build real-world middleware environments using Docker.

Description
Docker for Middleware Administrators: From Fundamentals to Real-World Deployments

This practical Docker course is specially designed for Middleware Administrators, System Administrators, DevOps Engineers, developers, and IT professionals who want to learn how to containerize and manage enterprise applications.

The course begins with Docker fundamentals and gradually moves toward real-world middleware implementations. You will learn how to create Dockerfiles, build custom images, manage containers, configure networking and storage, expose applications, troubleshoot problems, and push images to container registries.

Technologies Covered

✨ IBM MQ

✨ IBM WebSphere Liberty

✨ Oracle WebLogic Server

✨ JBoss and WildFly

✨ Apache HTTP Server

✨ Nginx

✨ Apache Tomcat

✨ Node.js

✨ Angular

✨ MySQL

✨ Java applications

✨ Custom enterprise applications

Through practical labs and real-time scenarios, you will learn how to

✨ Install and configure Docker on Linux

✨ Understand Docker Engine, Docker daemon and container runtime

✨ Work with images, containers, volumes and networks

✨ Pull images from Docker Hub and private registries

✨ Create custom Docker images using Dockerfiles

✨ Apply image layers and build-cache concepts

✨ Run containers in attached and detached modes

✨ Publish container ports and access applications

✨ Configure persistent storage using Docker volumes

✨ Connect application containers to database containers

✨ Containerize web servers and application servers

✨ Deploy middleware products inside containers

✨ Tag and push custom images to container registries

✨ Move the same tested image across Development, QA and Production

✨ Use environment variables and external configuration

✨ View container logs and troubleshoot common failures

✨ Apply security and production best practices

✨ Build multi-container application environments

Real-World Learning Approach

The course uses simple English, step-by-step demonstrations and hands-on labs. Instead of learning only basic Docker commands, you will see how Docker is used with middleware technologies in real enterprise environments.

You will build and deploy practical solutions such as

✨ Apache and Nginx web server containers

✨ Tomcat-based Java web applications

✨ WebSphere Liberty application containers

✨ WebLogic and JBoss application server containers

✨ IBM MQ messaging environments

✨ Node.js backend applications

✨ Angular frontend applications

✨ MySQL database containers

✨ Multi-container frontend, backend and database architectures

By the end of this course, you will be able to confidently build, deploy, manage and troubleshoot Docker-based middleware applications. You will also understand how containerized applications move through Development, QA and Production environments using the same tested Docker image.

This course provides a strong practical foundation for progressing to Kubernetes, OpenShift, AKS, EKS and other enterprise container platforms.

Who this course is for
⭐ Middleware Administrators who want to learn Docker through real-world middleware implementations rather than generic container examples.
⭐ WebLogic, WebSphere, JBoss/WildFly, Tomcat, IBM MQ, Apache, Nginx, and WebSphere Liberty Administrators who want to containerize their existing middleware platforms.
⭐ System Administrators and Linux Administrators who want to expand their skills into Docker and container technologies.
⭐ DevOps Engineers who work with enterprise middleware applications and need practical Docker implementation experience.
⭐ Middleware Engineers moving toward DevOps, Kubernetes, OpenShift, AKS, or EKS who need a strong Docker foundation before working with container orchestration platforms.
⭐ Application Support and Production Support Engineers responsible for deploying, managing, monitoring, and troubleshooting middleware applications.
⭐ Experienced IT professionals who want hands-on experience building Docker images, configuring networking and storage, deploying multi-container environments, and troubleshooting real-world containerized middleware.
⭐ Anyone who wants to understand how traditional enterprise middleware environments can be transformed into modern container-based deployments through practical, hands-on labs.

Homepage

https://rapidgator.net/file/68d1ddffde3b792c2e51a90827f3cc0d/Docker_for_Middleware_Tomcat,_JBoss,_Liberty,_Weblogic_2026.part1.rar.html
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• views: 138
• date: 17 October 2026
• posted by: 0nelove

Grafana k6: Practical Performance Testing with Scripting, Scenarios, and Metrics
Released 10/2026
With Anshita Bhasin
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 43m | Size: 432.6 MB

A practical, hands‑on course that teaches developers, QA engineers, and DevOps teams to script, run, and analyze k6 performance tests using realistic scenarios and Grafana Cloud metrics to ensure systems scale reliably.

Course details
Grafana k6 has become one of the most widely adopted tools for modern performance testing, and this course gives you a fully hands‑on introduction to scripting, running, and analyzing load tests with real‑world workflows. Instructor Anshita Bhasin shows you how to write k6 scripts in jаvascript, create load, stress, and soak scenarios, and run tests both locally and in Grafana Cloud to simulate realistic user traffic. Discover practical, developer‑friendly techniques for detecting performance regressions using key metrics such as latency, throughput, and error rates. Along the way, explore how to visualize and compare test runs using Grafana dashboards to identify bottlenecks and validate system behavior under load. By the end of this course, you'll be equipped with a repeatable workflow for automated, CI/CD‑ready performance testing that supports reliable, scalable software delivery.This course was created by Anshita Bhasin. We are pleased to host this training in our library.

Skills covered
Grafana, Software Testing, Performance Testing

https://rapidgator.net/file/6e20f2cf1c0b32722dc0043f43f351f8/Grafana_k6_Practical_Performance_Testing_with_Scripting,_Scenarios,_and_Metrics.rar.html

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• views: 115
• date: 17 October 2026
• posted by: 0nelove

How to Study for the CFPS: Find Any Answer Fast
Published 10/2026
Created by Hussein Ragab
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 45 Lectures ( 55m ) | Size: 514.8 MB

A study method for the open-book CFPS exam: know the Fire Protection Handbook, find the page, beat the clock.

What you'll learn
⚡ Explain how the CFPS exam is built and how its eight domains are weighted.
⚡ Route any CFPS question from its domain to the right section of the Fire Protection Handbook.
⚡ Find an answer fast with section-page numbers, the index, and table and figure numbers.
⚡ Tab and organise your Handbook for fast lookups under time pressure.
⚡ Plan eight weeks of study and use practice tests to find and close your weak areas.
⚡ Read a question for its noun, conditions and units, and pace a three-hour open-book exam.

Requirements
❗ Your own printed copy of the NFPA Fire Protection Handbook, 2023 edition. The course does not include Handbook text.
❗ A working knowledge of fire protection. No prior exam experience is needed.

Description
The CFPS is an open-book exam with one reference, and that is the trap. The Fire Protection Handbook is a very large book, and most candidates who struggle do not lack knowledge. They run out of time looking for the answer. This course teaches one thing: how to study for the CFPS so that, on exam day, you go from a question to the right page quickly and with confidence.

You will learn how the current exam is built and how its eight domains are weighted, then how the 2023 Handbook is organised: two volumes, twenty-one sections, section-page numbers, the combined index, and the numbering of tables, figures and formulas. You will get a domain-to-section routing map, a tabbing plan, an eight-week study plan, a practice-test routine, and a way to read each question so you know which section to open before you open the book.

Then the method is put to work. Worked lookups cover fire science and people, detection and alarm, water supplies and suppression, confining fires, hazards and the fire service. Each one goes from the question to the domain, the section, the index word and the page, with the trap that sits next to the right answer. A timed walkthrough of ten exam-style questions puts the method under the clock, and a one-page recap sums it up.

Every page cited in the lectures was checked against the 2023 Handbook, and every lecture was reviewed and approved by the instructor before release. The lectures describe where to find each answer in plain words. They do not reproduce Handbook text, so you will need your own copy of the Handbook.

About the instructor: Hussein Ragab is a Chartered Engineer, a member of CIBSE, a member of ASHRAE and a Certified Fire Protection Specialist, with more than 14 years of mechanical and fire protection design on high-rise, hospital and mixed-use projects.

This course is independent. It is not affiliated with, endorsed by or sponsored by the National Fire Protection Association (NFPA). Always confirm exam details against NFPA's current CFPS program overview.

Who this course is for
⭐ Engineers, inspectors, fire officers and fire protection professionals preparing for the CFPS.
⭐ Candidates who know the subject but run out of time in open-book exams.
⭐ Anyone who wants a faster, more reliable way to find answers in the Fire Protection Handbook.

Homepage

https://rapidgator.net/file/86bf2c97e1637d6dc91f4c166e9a410c/How_to_Study_for_the_CFPS_Find_Any_Answer_Fast.rar.html

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• views: 126
• date: 17 October 2026
• posted by: 0nelove

Landscape Painting with Acrylics: Beginner to Pro
Published 10/2026
Created by Yashas G M
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 17 Lectures ( 53m ) | Size: 3.6 GB

Learn acrylic landscape painting step by step, from colour mixing and skies to mountains, trees and realistic scenery.

What you'll learn
⚡ Create beautiful landscape paintings using acrylic paints, even as a beginner.
⚡ Understand and apply acrylic painting techniques for skies, clouds, mountains, trees, and landscapes.
⚡ Mix colours effectively to achieve natural-looking colours, depth, light, and shadows.
⚡ Paint an acrylic landscape step by step using essential tools, brushwork, and composition techniques.

Requirements
❗ No prior painting experience is required. This course is suitable for complete beginners. You will need acrylic paints, paintbrushes, a canvas or painting paper, a palette, water, and a cloth or paper towel.

Description

Landscape Painting with Acrylics: Beginner to Pro
Want to learn landscape painting with acrylics, even if you are a complete beginner? This course will guide you through the process of creating beautiful acrylic landscape paintings, one step at a time.

Whether you are new to painting or looking to improve your existing skills, you will learn essential techniques to help you paint landscapes with greater confidence.

What You Will Learn

In this acrylic landscape painting course, you will explore the fundamentals of landscape painting, including colour mixing, brushwork, composition, depth and shading. You will learn how to approach different elements of a landscape and combine them to create a cohesive painting.

Topics covered include

✨Acrylic Painting Techniques: Understand essential techniques for applying acrylic paint and creating different visual effects.

✨Colour Mixing: Learn to mix colours to create natural-looking hues and harmonious landscapes.

✨Sky and Cloud Painting: Practise painting skies, clouds and atmospheric effects.

✨Mountains and Natural Scenery: Learn techniques for representing mountains and other landscape features.

✨Trees and Foliage: Explore brushwork and colour variations for painting trees and vegetation.

✨Composition and Depth: Understand how to arrange landscape elements and create a sense of distance.

✨Step-by-Step Landscape Painting: Follow practical demonstrations to bring a landscape painting together.

Who Is This Course For?

This course is designed for beginners, hobby artists and aspiring painters who want to learn acrylic landscape painting. No previous painting experience is necessary if you are willing to practise and explore the techniques demonstrated.

You can learn at your own pace, pause the demonstrations when needed and practise each technique as you progress.

Start Your Landscape Painting Journey

Discover the enjoyment of painting landscapes with acrylics and develop your artistic skills through practical learning. Get your paints and brushes ready, and start creating your own landscape paintings, one brushstroke at a time.

Enrol today and begin your acrylic landscape painting journey!

Who this course is for
⭐ Complete beginners who want to learn landscape painting with acrylics; aspiring artists who want to improve their landscape painting skills; hobby painters interested in creating beautiful landscapes; and anyone who wants to learn acrylic landscape painting through step-by-step demonstrations.

Homepage

https://rapidgator.net/file/b37cb21eaac9959efc651183b6d1f397/Landscape_Painting_with_Acrylics_Beginner_to_Pro.part1.rar.html
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• views: 138
• date: 17 October 2026
• posted by: 0nelove

Medical Terminology on Fingertips 1
Published 10/2026
Created by Dr Asif Kamal
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 11 Lectures ( 2h 17m ) | Size: 595.1 MB

A step by step guide to increase your knowledge of Medical Terminology

What you'll learn
⚡ Understand common medical prefixes, roots, and suffixes at your fingertips.
⚡ Decode unfamiliar medical terms with confidence and accuracy.
⚡ Use medical vocabulary correctly in healthcare communication.
⚡ Build lasting recall of medical terminology through simple word breakdowns.

Requirements
❗ No prior knowledge required

Description
Medical Terminology on Fingertips for Newbies is an introductory course designed to make the language of medicine clear, approachable, and memorable. Whether you are beginning your healthcare studies, exploring a medical career, or simply interested in understanding medical words, this course provides a practical foundation without requiring previous medical knowledge.

Medical terms may appear complicated, but many are built from familiar patterns. This course introduces 15 prefixes, 15 suffixes, and 20 roots, helping you understand how these building blocks combine to form meaningful medical expressions. Through carefully selected examples, you will explore terminology associated with body structures, common conditions, symptoms, and medical procedures.

Each lesson presents words alongside straightforward meanings and useful word breakdowns. Rather than relying entirely on memorization, you will learn to recognize recurring components and use them to interpret unfamiliar terminology. Clear explanations and an organized presentation support gradual learning, making the material accessible to students encountering medical vocabulary for the first time.

By the end of the course, you will be better equipped to identify common word elements, explain the meanings of selected medical terms, and approach further healthcare learning with greater confidence. You will also develop a stronger foundation for understanding medical textbooks, classroom discussions, and everyday healthcare communication.

Suitable for aspiring medical, nursing, pharmacy, and allied health students, this course offers a starting point for building your vocabulary. Begin your journey into the language of healthcare and bring essential medical terminology to your fingertips, one understandable word at a time, with clarity, confidence, and understanding.

Who this course is for
⭐ For Health Care Professionals and Students

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• views: 86
• date: 16 October 2026
• posted by: 0nelove

NCP-AAI - Prep Course - Learn and Pass NCP-Agentic AI Cert
Published 10/2026
Created by Ashish Prajapati
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 195 Lectures ( 10h 51m ) | Size: 5.4 GB

Learn Professional level Agentic AI with easy to understand content aligned to NCP - Agentic AI Certification

What you'll learn
⚡ Understand the fundamentals of Agentic AI, including agent architectures, reasoning, planning, memory, tool integration, and multi-agent systems.
⚡ Prepare for the NCP-Agentic AI certification by understanding key concepts, architectural patterns, technology selection, and production design principles.
⚡ Gain a solid understanding of the technologies, frameworks, and tools used to build, deploy, secure, and manage production-grade Agentic AI systems.
⚡ Develop the knowledge to evaluate architectural trade-offs, agent performance, reliability, scalability, safety, and human oversight in real-world Agentic AI

Requirements
❗ A basic understanding of generative AI and large language models

Description

Agentic AI: Learn and Pass NCP-AAI Certification (NCP-Agentic AI)
Agentic AI is transforming how AI applications are designed and deployed. Unlike traditional Generative AI, AI agents can reason, plan, use tools, maintain memory, and take actions to accomplish complex goals. As organizations move from AI prototypes toproduction-grade Agentic AI systems, understanding agent architectures, orchestration, reliability, security, and scalability is becoming an increasingly valuable skill.

This is anintermediate-level, certification-focused course designed to help youbuild a solid foundation in Agentic AI while confidently preparing for theNCP-Agentic AI certification exam.

The course follows theofficial certification exam objectives, focusing onWhat, Why, and When rather than step-by-step implementation. It equips you with the knowledge to understand architectural decisions, technology choices, and the nuances of designing, deploying, and operating production-grade Agentic AI systems.

What You'll Learn

✨ CoreAgentic AI concepts, including intelligent agents, autonomy, reasoning, planning, and decision-making

✨Agent architectures and multi-agent systems, including ReAct, Reflexion, orchestration patterns, and agent collaboration

✨Memory and knowledge integration, including short-term and long-term memory, RAG, vector databases, and semantic retrieval

✨Prompt engineering, tool integration, and agent reliability, including structured outputs, error handling, and external API interactions

✨Agent evaluation and optimization, including benchmarking, performance metrics, feedback loops, and continuous improvement

✨Production deployment and scaling, including Kubernetes, containerization, GPU optimization, monitoring, and observability

✨ Key platform technologies, includingNIM, NeMo Agent Toolkit, NeMo Guardrails, Triton Inference Server, and TensorRT-LLM

✨Responsible AI, safety, governance, and human oversight in enterprise Agentic AI applications

How This Course Teaches

✨Real-life analogies to simplify complex Agentic AI concepts

✨Whiteboarding-style explanations to break down architectures, reasoning patterns, and workflows

✨Simple diagrams and animations to visually explain how agentic systems operate

✨Comparison tables to distinguish technologies, architectural approaches, and design choices

✨Scenario-based explanations to understand when and why different solutions are appropriate

✨Concept-first teaching that builds understanding rather than relying on memorization

Certification & Career Benefits

✨ Structured preparation covering theNCP-AAI certification exam domains

✨ Aligned with theofficial certification exam study guide

✨ Develop the knowledge to evaluate architectural choices, technology selection, and production requirements

✨ Build a strong foundation for understandingenterprise-scale Agentic AI systems

✨ Ideal for professionals working as

✨ Software Developers

✨ Software Engineers

✨ Solutions Architects

✨ Machine Learning Engineers

✨ Data Scientists

✨ AI Strategists

✨ AI Specialists

Important: Course Scope

This is acertification-focused, conceptual training course, not a hands-on coding or implementation bootcamp.

The emphasis is on understandingwhat technologies and architectural patterns do, why they matter, and when to use them.

You will explore practical scenarios and production considerations, including agent development, architectural decisions, deployment strategies, reliability, security, and performance optimization, without getting lost in step-by-step coding or implementation details.

The goal is to develop the knowledge needed to make informed architectural decisions, evaluate trade-offs, and understand the challenges and nuances of production-grade Agentic AI systems.

Why Enroll?

Whether your goal is topass the NCP-AAI certification, strengthen your understanding ofAgentic AI architectures, or learn how organizations design and operatereliable, secure, and scalable Agentic AI systems, this course provides a structured and easy-to-follow learning path.

You will gain more than exam preparation. You will develop astrong conceptual foundation and a production-oriented understanding of Agentic AI that supports your professional growth.

Who this course is for
⭐ For software developers, software engineers, solutions architects, machine learning engineers, data scientists, AI strategists, and AI specialists seeking to build a strong foundation in Agentic AI, understand the architecture and design of production-grade Agentic AI systems, and prepare for the NCP-AAI certification.

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• views: 93
• date: 16 October 2026
• posted by: 0nelove

Object Detection
Published 10/2026
Created by Riad Almadani • 70,000+ Students
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 13 Lectures ( 2h 2m ) | Size: 1.7 GB

Build, Train, and Deploy Custom Object Detection Models like YOLOv5 and Faster R-CNN Using IceVision.

What you'll learn
⚡ Master the Fundamentals of the IceVision Library for Object Detection.
⚡ Prepare and Manage Various Types of Datasets for Computer Vision Tasks.
⚡ Implement Various Object Detection Models and Backbone Architectures Using IceVision.
⚡ Train and Evaluate Models Effectively Using fastai.

Requirements
❗ Basic knowledge of Python programming.
❗ Familiarity with Deep Learning concepts such as neural networks, training, and validation.
❗ Basic knowledge of fastai is recommended but not required.

Description
Object Detection Masterclass with IceVision: From Fundamentals to Real-World Applications

Master Practical Object Detection Skills with IceVision!
In this comprehensive course, you will explore the essential concepts and practical applications of Computer Vision, Deep Learning, and Machine Learning, learning how to develop modern object detection solutions from fundamental principles to advanced techniques.

IceVision is a flexible, framework-agnostic Computer Vision library that simplifies the development of Object Detection models. Throughout this course, you will learn how to combine IceVision with technologies such as Python, PyTorch, fastai, and PyTorch Lightning to build, train, evaluate, and deploy custom Object Detection models.

You will explore popular object detection architectures, including YOLOv5, Faster R-CNN, and EfficientDet, and gain practical experience developing Computer Vision Applications using your own image datasets.

1. Fundamentals of IceVision and Object Detection

You will begin by exploring the fundamental concepts of IceVision and the essential principles behind Object Detection.

We will cover important topics such as Computer Vision, Deep Learning, Neural Networks, Image Processing, Object Localization, Bounding Boxes, and Feature Extraction.

You will understand how object detection models identify and locate objects within images.

Additionally, you will explore the roles of Parsers, Records, and Transforms in IceVision and learn how to create efficient Data Pipelines for Computer Vision projects.

2. Dataset Preparation and Data Augmentation

Proper dataset preparation is essential for building accurate and reliable object detection models.

In this section, you will explore Dataset Preparation, Data Annotation, Data Cleaning, Image Transformations, Data Augmentation, Custom Parsers, and Dataset Management.

You will understand the differences between Training Datasets, Validation Datasets, and Testing Datasets, and learn how appropriate data splitting and preprocessing techniques contribute to effective model development.

You will also build Custom Data Pipelines for your own image datasets and explore techniques that can be applied to different Computer Vision Tasks.

3. Implementing YOLOv5, Faster R-CNN, and EfficientDet

You will explore several popular Object Detection Models and learn how to implement them using IceVision.

The course introduces architectures such as YOLOv5, Faster R-CNN, and EfficientDet, allowing you to compare their Model Architectures, Backbone Networks, Feature Extraction mechanisms, Object Localization capabilities, and Detection Performance.

You will also learn how to use Pre-trained Models, apply Transfer Learning, and perform Fine-Tuning to adapt existing models to your own datasets.

By understanding Model Selection, Backbone Architecture, and Model Configuration, you will develop the knowledge necessary to choose suitable object detection models for different projects and applications.

4. Model Training with fastai

This course demonstrates how IceVision integrates with fastai to simplify and streamline Object Detection Model Training.

You will explore important Deep Learning concepts, including Model Training, Model Validation, Training Parameters, Batch Size, Learning Rate, Optimizer Selection, Loss Functions, and Training Epochs.

You will also learn about Learning Rate Scheduling, Overfitting Prevention, Model Generalization, Training Stability, and Performance Optimization.

Through practical exercises, you will strengthen your understanding of Model Experimentation and the complete Training Workflow.

5. Model Evaluation and Performance Analysis

Evaluating model performance is an essential part of developing successful Object Detection systems.

In this section, you will explore industry-standard evaluation metrics such as Precision, Recall, Intersection over Union (IoU), Mean Average Precision (mAP), and COCO Evaluation Metrics.

You will also become familiar with Detection Results, Bounding Box Predictions, Confidence Scores, Confidence Thresholds, Non-Maximum Suppression, False Positives, and False Negatives.

Through Prediction Analysis, Visual Analysis, Error Analysis, and Model Comparison, you will learn how to visualize predictions, assess model accuracy, and identify potential improvements.

6. Practical Computer Vision Applications

You will discover how object detection technologies can be applied to real-world applications.

The course explores potential applications in Smart Surveillance, Traffic Monitoring, Image Analysis, Automated Inspection, Object Recognition, and Automated Detection.

You will also examine essential concepts related to Inference Pipelines, Model Deployment, and Inference Optimization, gaining an understanding of how trained models can be incorporated into practical systems.

By combining Python Programming, Image Processing, Dataset Analysis, Data Visualization, and Model Optimization, you will develop valuable knowledge for building practical AI Applications.

7. Skills You Will Gain

Throughout this course, you will develop a solid understanding of Object Detection, from basic concepts to advanced model development techniques.

You will gain practical knowledge in Custom Dataset Management, Data Augmentation, Model Architecture, Transfer Learning, Fine-Tuning, Model Training, Model Evaluation, Prediction Analysis, and Model Deployment.

Through hands-on projects, you will become familiar with the complete Computer Vision Workflow and develop the foundational skills needed to work on your own Object Detection Projects.

8.

Who this course is for
⭐ Data Scientists and Machine Learning Engineers Interested in Object Detection.
⭐ Researchers and Students Who Want to Implement and Experiment with Different Object Detection Models.
⭐ Anyone Who Wants to Build Real-World Computer Vision Applications.

Homepage

https://rapidgator.net/file/5f7a61a0772b14852f00c43713de5e6b/Object_Detection.part1.rar.html
https://rapidgator.net/file/9c2c980ef06cb36a3b7f37b64e585fd4/Object_Detection.part2.rar.html

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• views: 120
• date: 16 October 2026
• posted by: 0nelove

Rise to 5D: A Practical Guide to Spiritual Ascension
Published 10/2026
Created by Claudia Herold
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 67 Lectures ( 5h 0m ) | Size: 2.3 GB

Spiritual Awakening, Higher Consciousness, Meditation, Energy Awareness, and Practical Ascension Tools for Everyday Life

What you'll learn
⚡ Understand what 5D consciousness really means and how it differs from 3D reality
⚡ Recognize and work through common ascension symptoms (physical, emotional, and energetic)
⚡ Access practical tools and meditations to raise your vibration and stay grounded during the shift
⚡ Learn to communicate with your Higher Self and integrate its guidance into daily life
⚡ Activate Higher Light Codes through guided meditation and breathwork practices
⚡ Understand the Akashic Records and how to access them for soul-level clarity
⚡ Work with the Metatron's Cube and Ascension Flames for energetic activation
⚡ Clear soul overlays, past trauma, and karmic patterns holding you back from ascension
⚡ Practice Ho'oponopono, I AM affirmations, and decrees for spiritual transformatio
⚡ Learn grounding, centering, and energy protection techniques for daily spiritual practice
⚡ Explore Christ Consciousness, Soul Retrieval, and the integration of your Soul Aspects
⚡ Create from the heart and step into conscious community and service in the New Earth
⚡ Build a personal foundation for lasting integration — not just spiritual bypassing

Requirements
❗ No prior knowledge of energy healing or spirituality is required — this course is beginner-friendly
❗ An open mind and a genuine willingness to explore your inner world
❗ A quiet, comfortable space where you can relax and practice the exercises without interruptions
❗ Journal or notebook (optional but recommended) to track your insights and shifts throughout the course
❗ Headphones (recommended for meditations and sound-based practices, if included)

Description
Are you experiencing a spiritual awakening?

Do you feel called toward a deeper purpose, greater inner peace, and a more meaningful way of living? Have you noticed increased sensitivity to energy, synchronicities, intuitive insights, or a growing desire to move beyond fear and limitation?

If so, you may be experiencing the shift in consciousness that many describe as the transition from 3D to 5D awareness.

This course offers a grounded and practical approach to understanding spiritual ascension and personal transformation.

Inside this comprehensive program, you'll explore the foundations of spiritual awakening, discover the principles of higher consciousness, and learn practical tools that support your journey toward greater alignment, clarity, and inner wisdom.

Through guided meditations, self-reflection exercises, energy awareness practices, and spiritual teachings, you'll learn how to navigate this transformative period with confidence and grace.

You'll also explore the stages of spiritual awakening, strengthen your connection with your Higher Self, and discover practices for grounding, energy protection, emotional healing, conscious breathing, and meditation. Whether you are just beginning your spiritual journey or wish to deepen your existing practice, this course offers guidance and practical tools to help you move from confusion to clarity, from fear to trust, and toward a more conscious, heart-centered way of living.

Who this course is for
⭐ Anyone who feels called to spiritual awakening and wants to understand what 5D ascension really means
⭐ Beginners on the spiritual path looking for a clear, structured introduction to ascension and higher consciousness
⭐ Anyone feeling stuck, disconnected, or searching for deeper meaning and purpose in their life
⭐ Spiritual seekers who want practical tools (not just theory) to raise their vibration and embody their higher self
⭐ Holistic therapists who want to deepen their understanding of the New Earth frequencies

Homepage

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• views: 205
• date: 16 October 2026
• posted by: mata00

Here’s What You Get:
I’ll show you how to build a successful business leveraging the power of 3D Printing so that you can finally build the life you want! Let me help you turn your passion into profits.

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• views: 145
• date: 15 October 2026
• posted by: 0nelove

Applied .NET Patterns for Scale and Resilience
Released 10/2026
By Nicklas Bjälemark
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 2h 9m 17s | Size: 377.6 MB

Production teaches lessons development never does: the partner API slows down, your own success arrives as traffic nobody load-tested, and another team's reporting queries land on the database you depend on.

Production teaches lessons development never does: the partner API slows down, your own success arrives as traffic nobody load-tested, and another team's reporting queries land on the database you depend on. In this course, Applied .NET Patterns for Scale and Resilience, you'll gain the ability to contain a failure in a system you didn't build and cannot rewrite. First, you'll explore how to map an inherited system. Next, you'll discover how to put a boundary around a failure - moving work off the request thread, capping what a slow dependency can consume, and giving reads their own path and staleness budget. Finally, you'll learn how to replace part of a running system incrementally, and what becomes of those boundaries once the application runs on a second host. When you're finished with this course, you'll have the skills and knowledge of diagnosing and isolating shared-resource failures in .NET needed to find what an unhealthy system is really contending over, put the smallest useful boundary around it, and defend the trade-off you mad

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• views: 174
• date: 15 October 2026
• posted by: 0nelove

Workspace Agents in ChatGPT
Released 10/2026
By Smriti Mishra
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 36m 53s | Size: 101.9 MB

Repeating the same instructions, gathering information from multiple tools, and manually preparing recurring business outputs can consume valuable time.

Repeating the same instructions, gathering information from multiple tools, and manually preparing recurring business outputs can consume valuable time. In this course, Workspace Agents in ChatGPT, you will gain the ability to build and manage agents that automate repeatable business workflows. First, you will explore how Workspace Agents differ from conversations, custom GPTs, and traditional automation tools. Next, you'll discover how to design instructions and configure knowledge, tools, actions, permissions, and review checkpoints. Finally, you will learn how to test, share, monitor, and improve agents for organizational use. When you are finished with this course, you will have the skills and knowledge of Workspace Agents needed to create reliable, reusable, and responsibly managed business workflows.

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• views: 237
• date: 15 October 2026
• posted by: 0nelove

SQL for Data Engineers: From Zero to Data Warehouse
Published 10/2026
Created by Harish Kollana
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 74 Lectures ( 6h 22m ) | Size: 1.6 GB

Learn T-SQL from your first SELECT to a Bronze-Silver-Gold warehouse, with 3 real data engineering projects.

What you'll learn
⚡ Write SQL queries to filter, sort, group, join and combine data from multiple tables in SQL Server.
⚡ Clean and transform raw data using text, number, date, NULL and CASE functions.
⚡ Analyze trends and rankings with aggregate and window functions, subqueries and CTEs.
⚡ Build and optimize a data warehouse with views, stored procedures, indexes, partitions and a Medallion architecture.

Requirements
❗ None. Comfort using a Windows PC and installing software is enough. A Mac user needs a Windows VM or Azure SQL / Docker to run SQL Server.

Description
This course contains the use of artificial intelligence.

SQL is the most requested skill in data engineering, data analytics and business intelligence job postings. This course takes you from "what is a database?" to building a production-style data warehouse, one small lesson at a time.

You start with the foundations: data, databases, DBMS, tables and the five types of SQL commands. Then you write real queries with SELECT, WHERE, GROUP BY, HAVING and ORDER BY, and learn why SQL executes in a different order than you write it. You create and change tables with DDL, load and fix data with INSERT, UPDATE and DELETE, and combine tables with INNER, LEFT, RIGHT and FULL joins plus UNION, INTERSECT and EXCEPT.

Next you clean messy text, numbers and dates, handle NULLs, and write CASE logic. You master aggregate and window functions: running totals, moving averages, ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG and LEAD. You structure complex logic with subqueries, CTEs and recursive CTEs, and package it as views, temp tables, stored procedures and triggers with error handling.

Finally you make queries fast with indexes, execution plans and partitioning, learn 30 pro tips, and use AI as a SQL co-pilot. Three capstones tie it together: a source data audit, a sales analytics layer, and a Medallion (Bronze, Silver, Gold) warehouse with SCD Type 1 and Type 2 dimensions.

Every lesson is visual and animated, every query is runnable, and interview questions are called out along the way.

Who this course is for
⭐ Anyone Who wants to be in Data Domain

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• views: 136
• date: 15 October 2026
• posted by: 0nelove

Medical Terminiology on Fingertips 2
Published 10/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 20m | Size: 717.5 MB

A step by step guide to increase your knowledge about Medical Terminology

What you'll learn
Deconstruct complex medical terms into their foundational building blocks, including prefixes, root words, combining vowels, and suffixes.
Decode unfamiliar clinical vocabulary by systematically analyzing the meaning of each word part.
Apply common prefixes and suffixes to accurately identify the location, direction, or status of a disease or procedure.
Categorize medical root words by body systems to build a structured, contextual memory of clinical concepts.

Requirements
No prior knowledge needed

Description Medical Terminology at Your Fingertips 2 is a fast-paced, beginner-friendly course designed to transform complex clinical jargon into a clear, intuitive language you can speak with confidence. Whether you are a pre-med student, an aspiring medical administrative assistant, or a healthcare enthusiast, this course strips away the intimidation of medical terms by breaking them down into their simplest building blocks.

Instead of forcing rote memorization, this dynamic program teaches you the "anatomy of words." You will master the foundational logic of healthcare language by analyzing howroots, prefixes, and suffixes combine to create complex diagnostic terms. By learning to decode these linguistic elements, you will quickly translate unfamiliar phrases on sight—instantly recognizing that "gastroenteritis," for example, simply refers to inflammation of the stomach and intestines.

-Word Anatomy & Analysis: Deconstruct medical terms into prefixes, roots, combining vowels, and suffixes.

-Major Body Systems: Explore essential terminology tied to the cardiovascular, respiratory, skeletal, and digestive systems.

-Clinical Application: Practice reading authentic, real-world case studies, patient charts, and medical abbreviations.

-Interactive Decoders: Utilize flashcards, audio pronunciation guides, and quick-reference structural blueprints to build muscle memory.

By the end of this course, you will possess a fluent, foundational vocabulary, eliminating clinical communication barriers and giving you a permanent professional edge. Turn an overwhelming vocabulary into an effortless tool at your fingertips, ready for immediate use in any clinical or academic setting.

Who this course is for
For Medical Health Care Professionals and Medical Students

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• views: 138
• date: 15 October 2026
• posted by: 0nelove

Managing Cloud Risk, Compliance, and Sovereignty
Released 10/2026
By James Willett
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 5m 59s | Size: 226.6 MB

As organizations scale their cloud investments, they face a growing web of security risks, regulatory requirements, and sovereignty constraints — often without a structured way to evaluate them.

As organizations scale their cloud investments, they face a growing web of security risks, regulatory requirements, and sovereignty constraints — often without a structured way to evaluate them. In this course, Managing Cloud Risk, Compliance, and Sovereignty, you'll gain the ability to evaluate governance and security risks associated with cloud adoption and assess regulatory and sovereignty considerations in cloud strategy. First, you'll explore the shared responsibility model between cloud providers and customers and identify common security concerns. Next, you'll discover how governance mechanisms like policy-as-code and cloud centers of excellence help organizations manage cloud resources and policies. Finally, you'll learn how to recognize regulatory pressures influencing cloud adoption in regulated industries, identify data residency and sovereignty requirements, and evaluate vendor dependency when selecting cloud platforms. When you're finished with this course, you'll have the knowledge and vocabulary of cloud risk management needed to collaborate effectively with security teams, legal stakeholders, and engineering leadership to balance innovation with operational and regulatory risk.

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• views: 160
• date: 15 October 2026
• posted by: 0nelove

How to Read Electrical Drawings & Schematics
Published 10/2026
Created by Christian Lopes
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 25 Lectures ( 36m ) | Size: 91.5 MB

Read plans, one-lines, panel schedules and ladder diagrams with confidence, from a licensed C-10 electrical contractor

What you'll learn
⚡ Navigate an electrical drawing set and find the sheet, note or schedule you need
⚡ Decode symbols, legends, abbreviations and scale
⚡ Trace circuits, homeruns and switch legs on residential and commercial plans
⚡ Read one-line diagrams, riser diagrams and panel schedules
⚡ Interpret lighting, fire alarm and low-voltage drawings
⚡ Read ladder diagrams and motor starter control schematics

Requirements
❗ No prior drawing experience is needed; if you know what a receptacle and a breaker are, you are ready
❗ Basic familiarity with electrical work is helpful but not required

Description
This course contains the use of artificial intelligence.

Electrical drawings are the job. Miss one general note or misread one symbol and the crew pays for it in rework. I'm Christian, a licensed C-10 electrical contractor in San Diego and an electrical engineer with more than six years in semiconductor fabs. I've read drawings as an engineer, as an estimator and as the person holding the pliers, and this course teaches you the method I use.

In 25 short lectures you will learn how a drawing set is organized, how to use legends, scale and abbreviations, and how to follow circuits from device to panel on residential and commercial plans. You will read one-line diagrams, riser diagrams and panel schedules, work through lighting, fire alarm and low-voltage drawings, and finally understand ladder diagrams and motor starter control schematics. The last section covers details, revision clouds, RFIs and a repeatable reading routine you can use on every set.

What you get: 25 video lectures, a downloadable PDF Electrical Symbols and Abbreviations Cheat Sheet with a sample panel schedule explained and a ladder-diagram legend, and a quiz at the end of every section so you can check your understanding.

Disclaimers: this course is educational and does not replace the current adopted electrical code, the project specifications or the engineer of record. Symbols and conventions vary between designers, so always check the legend and general notes for the project in front of you.

About the production: the narration in this course is generated with an AI text-to-speech voice, and the slides were produced with AI-assisted tools. The content was written and reviewed by the instructor.

Who this course is for
⭐ Apprentice electricians who want to move faster on the job
⭐ Journeyman electricians stepping into foreman or estimating roles
⭐ Engineers, facility technicians and maintenance staff who work from electrical drawings
⭐ Career changers entering the electrical trade

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• views: 136
• date: 15 October 2026
• posted by: 0nelove

Excel Lookup Functions in Depth: Master XLOOKUP, VLOOKUP
Published 10/2026
Created by Mian Qusain
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 12 Lectures ( 1h 0m ) | Size: 794.3 MB

Learn to find, retrieve, match, and analyze data efficiently using Excel lookup functions with practical, real-world exa

What you'll learn
⚡ Understand the fundamentals of Excel lookup functions.
⚡ Use VLOOKUP to retrieve data from tables.
⚡ Apply HLOOKUP to search horizontally.
⚡ Master XLOOKUP in supported Excel versions.
⚡ Use INDEX and MATCH together for flexible lookups.
⚡ Perform exact-match and approximate-match searches.
⚡ Retrieve data from large datasets efficiently.
⚡ Perform two-way lookups using rows and columns.
⚡ Apply lookup functions to practical business scenarios.
⚡ Use multiple criteria in lookup formulas.
⚡ Handle missing values and customize error messages.
⚡ Identify and fix common lookup formula errors.
⚡ Understand the differences between VLOOKUP, XLOOKUP, and INDEX-MATCH.
⚡ Improve spreadsheet accuracy and reduce manual searching.

Requirements
❗ Basic knowledge of Excel worksheets, cells, rows, columns, and formulas is helpful.
❗ No programming or VBA knowledge is required.
❗ A willingness to follow the lessons and practice the examples.

Description
Welcome toExcel Lookup Functions in Depth, a practical course designed to help you become more confident and efficient when working with data in Microsoft Excel.

Lookup functions are among the most useful tools in Excel. They help you find specific information in large datasets, connect related information across tables, retrieve matching values, and reduce the time spent searching through spreadsheets manually. Whether you work with financial reports, sales records, employee databases, inventory lists, customer information, or business data, understanding lookup functions can make your work faster and more accurate.

In this course, you will explore Excel lookup functions step by step, starting with the fundamentals and gradually moving toward more advanced techniques. You will learn how to use traditional functions such as VLOOKUP and HLOOKUP, as well as modern functions such as XLOOKUP. You will also discover how INDEX and MATCH work together to create flexible lookup formulas.

What makes this course valuable?
This course focuses on practical learning rather than memorizing formulas. You will understand how lookup functions work, when to use each function, and how to apply them to different spreadsheet situations. Through practical examples, you will develop the skills needed to retrieve information accurately and solve common Excel data problems.

You will learn how to search for values vertically and horizontally, perform exact and approximate matches, handle missing results, and troubleshoot common formula errors. You will also explore two-way lookups, multiple-criteria lookups, and techniques for combining functions to solve more complex tasks.

The course will help you understand the differences between older lookup methods and newer Excel capabilities. You will discover why XLOOKUP is useful in supported Excel versions and how INDEX and MATCH can provide flexibility when working with different table structures.

In addition, you will learn how to make your formulas easier to read, maintain, and reuse. These skills can help you improve spreadsheet organization and reduce repetitive manual work when dealing with large amounts of information.

Who should take this course?
This course is suitable for students, office employees, accountants, finance professionals, business analysts, administrative staff, data enthusiasts, and anyone who wants to improve their Excel skills. Beginners who understand basic spreadsheet operations can follow the lessons, while intermediate Excel users can strengthen their knowledge and learn more advanced lookup techniques.

No advanced programming knowledge is required. With a willingness to practice and explore the examples, you can gradually build the confidence to use lookup formulas in your own projects.

By the end of this course, you will have a stronger understanding of Excel lookup functions and how they can be used to solve everyday data challenges. You will be better prepared to organize information, retrieve matching records, analyze spreadsheets, and work more efficiently with Excel.

Enroll today and take the next step toward mastering one of the most practical and valuable areas of Microsoft Excel.

Who this course is for
⭐ Beginners who want to learn Excel lookup functions.
⭐ Students who want to improve their spreadsheet skills.
⭐ Accountants and finance professionals working with financial data.
⭐ Data analysts who regularly search and retrieve information.
⭐ Office employees who manage reports and records.
⭐ Business professionals who work with sales, inventory, or customer data.
⭐ Intermediate Excel users who want to master advanced lookup techniques.
⭐ Anyone who wants to save time and improve productivity in Excel.

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• views: 161
• date: 15 October 2026
• posted by: 0nelove

Customization with ZAP
Released 10/2026
By Mike Woolard
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 44m 55s | Size: 174.5 MB

Scans using default settings rarely fit the application in front of you.

Scans using default settings rarely fit the application in front of you. They run too long, attack things you do not own, and bury real findings under false positives. In this course, Customization with ZAP, you'll learn to tailor ZAP to a specific target so your scans are faster and more accurate. First, you'll explore how to build and tune scan policies, adjusting alert thresholds, attack strength, and performance settings to control what ZAP tests and how hard it hits. Next, you'll discover how to control scan scope using contexts, include and exclude rules, and regular expressions that keep third-party and static content out of your results. Finally, you'll learn how to analyze the alerts, filtering by confidence and evidence, suppressing verified false positives, and documenting your rationale. When you're finished with this course, you'll have the skills and knowledge of ZAP customization needed to deliver targeted and defensible web application scans.

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• views: 127
• date: 15 October 2026
• posted by: 0nelove

Data Sharing Explained
Released 10/2026
By Ben Howard
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 33m 13s | Size: 423.5 MB

Data scattered across disconnected systems slows decisions, creates inconsistencies, and makes even simple tasks harder than they should be.

Data scattered across disconnected systems slows decisions, creates inconsistencies, and makes even simple tasks harder than they should be.

In this course, Data Sharing Explained, you'll gain the ability to choose and maintain the right approach for combining data in your own situations.

First, you'll explore why information ends up fragmented across tools and why combining it requires both record‑matching and ongoing upkeep.

Next, you'll discover the spectrum of self‑service methods, from manual exports to no‑code connectors to AI‑assisted reconciliation, and what each is best suited for.

Finally, you'll learn how personal data solutions scale to teams and enterprises, and when a self‑service approach should transition to a governed, IT‑owned one.

When you're finished with this course, you'll have the skills and knowledge of practical data integration needed to select, build, and sustain an approach that balances speed with long‑term reliability.

Homepage

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• views: 140
• date: 15 October 2026
• posted by: 0nelove

Dayan Chi Kung: Master the 64 Forms of Wild Goose Qigong
Published 10/2026
Created by I&I Sports Supply Company
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 5 Lectures ( 2h 35m ) | Size: 6.4 GB

What you'll learn
⚡ Individuals seeking low-impact exercises for health, longevity, and stress reduction.
⚡ Practitioners of Tai Chi or other Qigong styles looking to broaden their internal arts knowledge.
⚡ Seniors or those interested in traditional Chinese "Elderly Physical Culture" for vitality.
⚡ Anyone interested in Taoist philosophy and its practical application through movement.

Requirements
❗ Individuals seeking low-impact exercises for health, longevity, and stress reduction.

Description
✨ Note: This course contains the use of artificial intelligence in the form of AI Voiceover which was used ONLY in course trailer

✨ Welcome to the definitive guide toDayan Chi Kung, more commonly known as theWild Goose Breathing Exercise. This ancient healing art, handed down through the exclusive Taoist Kunlun School, is now accessible to you through the expert guidance of the lateGrandmaster Wen-Mei Yu.

Master Yu was a world-renowned authority in Chinese internal martial arts, Taijiquan, and Qigong. With over 40 years of teaching experience, including her tenure as a professor at Jin Wu Athletic College, she brings a deep, scholarly, and practical understanding of how these movements interact with the body's energetic systems.

What is Dayan Chi Kung? Dayan Chi Kung literally translates to "Wild Goose Breathing Exercise." It is a specialized system that imitates the graceful postures and movements of the wild goose while assimilating ancientDao Yin methods. The practice is unique for its rhythm—alternating between vigorous and gentle movements, and balancing motion with profound stillness.

The Benefits: This practice is designed to clear theJingmai—the pathways through whichChi (vital energy) flows. By following this 64-form sequence, practitioners aim to

✨ Promote healthy blood circulation.

✨ Clear energetic blockages in the meridian system.

✨ Balance the body's internal organs.

✨ Enhance overall longevity and mental clarity.

In this comprehensive series, Grandmaster Yu provides a full demonstration of the 64-form set, explains the essentialacu-meridian points, and offers meticulous, step-by-step instruction. Whether you are seeking a daily health ritual or a deeper connection to Taoist internal arts, this course serves as an essential companion for your wellness journey.

4. What You'll Learn (4 short points)

✨[REQUIRED] What will students learn in your course?

✨
✨ Master the complete 64-form sequence of Dayan (Wild Goose) Chi Kung with precision.

✨
✨ Understand the basic acu-meridian points and how they relate to the flow of vital energy (Chi).

✨
✨ Apply ancient Dao Yin methods to balance vigorous movement with meditative stillness.

✨
✨ Develop a daily practice to promote blood circulation and clear the body's energy pathways (Jingmai).

Who this course is for
⭐ No prior experience in Qigong or martial arts is required; movements can be adapted for most fitness levels.

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• views: 139
• date: 15 October 2026
• posted by: 0nelove

Digital Health Masterclass: Strategy, AI & Implementation
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 13h 32m | Size: 7.49 GB

Health informatics, AI in healthcare, telemedicine, HL7 FHIR & digital health strategy for any health system

What you'll learn
Choose, evaluate and safely govern AI tools in clinical care using a practical scorecard grounded in WHO ethics and LMM guidance
Design a digital health strategy and investment case using WHO frameworks, adaptable to any national or organisational health system
Plan a digital health rollout from pilot to scale: requirements, procurement, change management, go-live, M&E and sustainability
Build a complete Digital Health Implementation Plan for your own project, using 15 ready-to-use professional templates
Explain how EHRs, DHIS2, LIS and telehealth exchange data with HL7 FHIR, ICD-11 and OpenHIE, and test it on a public FHIR server
Set up a safe telemedicine service: models, clinical safety, consent, licensing and low-bandwidth options for real settings
Protect patient data across GDPR, HIPAA and African and Asian data laws, and run a data protection impact assessment
Turn routine health data into decisions with data-quality checks, the right indicators and dashboards people actually use

Requirements
No coding or technical background needed - every technical idea is explained from first principles.
A computer with a modern web browser and internet access (for the free public demos).
Optional: a spreadsheet app for the costing and dashboard exercises; one optional FHIR exercise uses a command line (a browser alternative is shown).
Curiosity about how technology can improve health care.

Description
This course contains the use of artificial intelligence.

Most digital health projects fail for reasons that have little to do with the technology: strategy, people, data, safety and money were planned apart. This masterclass shows you how to plan them together, from the foundations of digital health to a real implementation in a hospital, a district, a country or a start-up. It is global by design, with cases from the US, UK and Europe, India and Africa, so what you learn works in any health system, including low-resource settings.

Plan, Govern and Scale Digital Health and AI in Any Health System

Created by a physician who designs, builds and implements digital health and AI systems, this course gives you the frameworks, the evidence and the working tools to do the same.

What makes this course different

- Designed and checked by a physician-implementer. Dr. Temesgen Endalew designed the curriculum, shaped and edited every lecture script, selected and checked the evidence, and built the templates and assessments. Most cases are real and cited to peer-reviewed research or official sources.

- Clear, calm delivery - no slide reading. A professional AI voice narrates over picture-led visuals, with accurate English captions written from the script.

- Hands-on, without coding. Guided, step-by-step walkthroughs you repeat yourself on free public demo systems: explore a DHIS2 health information system, tour the OpenMRS open-source EMR, read an HL7 message line by line, search and create synthetic data on a public HL7 FHIR server, and build a district dashboard in a spreadsheet from sample data.

- A complete toolkit. 15 practical templates you can use at work: strategy canvas, requirements template, interoperability checklist, telehealth SOP, DPIA template, AI evaluation scorecard, vendor/RFP checklist, total-cost-of-ownership calculator, go-live checklist and risk register.

- A finished capstone. Step by step, you build your own Digital Health Implementation Plan.

What you will learn

- Digital health foundations - eHealth, mHealth, telehealth and health informatics; the WHO classification of digital interventions; maturity assessment.

- Strategy and governance - how to build a digital health strategy and investment case using WHO frameworks.

- Health information systems - EHR/EMR, HMIS and DHIS2, laboratory, pharmacy, imaging, registries and identity.

- Interoperability - HL7 v2, HL7 FHIR, ICD-11, SNOMED CT, LOINC and OpenHIE, explained without jargon.

- Telemedicine and virtual care - models, clinical safety, regulation, low-bandwidth options and business models.

- mHealth and the frontline - community health information systems, SMS/USSD, offline-first design and WHO SMART Guidelines.

- Data to decisions - data quality, indicators and dashboards that people actually use.

- AI in healthcare - what AI can and cannot do, large language models, AI scribes, how AI fails, and how to read an AI study.

- AI governance and safety - WHO guidance, regulation, an AI evaluation scorecard and safe use of LLMs.

- Privacy, security and ethics - GDPR, HIPAA and data protection laws in Africa and Asia, DPIAs and cybersecurity.

- Implementation from pilot to scale - requirements, procurement, change management, training, go-live and scaling.

- Monitoring, evaluation and sustainability - logic models, evaluation designs, total cost of ownership and financing.

- Careers and leadership - roles, skills and how to move into digital health.

Course format: over 13 hours of video in 152 short lectures (most 4-7 minutes), 14 section quizzes with 106 questions, four practical assignments with model answers, a 60-question final practice test with explained answers, 15 downloadable templates plus a synthetic sample dataset, accurate English captions written from the script, and a Udemy certificate of completion. Lectures that go deeper for clinical or technical learners carry a Clinical or Technical tag, so you can stay or skip. 2026 edition, updated yearly.

Real cases you will study include India's eSanjeevani, a public telemedicine service that passed 500 million consultations in 2026; Babyl, Rwanda's nationwide private telehealth service that halted in 2023 as its parent company collapsed; Uganda's 2012 moratorium on mHealth pilots; England's National Programme for IT, which cost close to GBP 10 billion; a diabetic-retinopathy AI tested in Thai clinics; and a widely used sepsis prediction model that did not hold up in external validation. The rest are teaching scenarios built from common patterns, and each one is labelled as a composite case.

If you want to lead digital health - not just talk about it - enrol now and start building your plan today.

Transparency: Dr. Temesgen Endalew designed and structured this course, chose every case and source, and is responsible for every claim in it. Scripts, slide visuals and quiz and test questions were drafted with AI tools from his outline and sources, then fact-checked against the cited references and edited by him. The lectures are narrated by a professional AI voice.

This course contains a promotion.

Who this course is for
Doctors, nurses, pharmacists, laboratory and public health professionals moving into digital health or informatics roles
Health IT, software, data and product professionals who need to understand how health systems really work
Hospital, ministry and NGO managers responsible for digital health programmes
Digital health founders, consultants and investors who want implementation that lasts
Students of medicine, public health, health informatics and health management
Anyone preparing to lead an EHR, telemedicine, data or AI project in health care

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• views: 120
• date: 15 October 2026
• posted by: 0nelove

Drawing Is Everything: Construct to Deconstruct
Published 10/2026
Created by Robert Joyner
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 21m ) | Size: 1.9 GB

Build structure, break it apart with intention, then use time and repetition to draw simpler, looser, more expressive

What you'll learn
⚡ Mindset + The System Overview
⚡ Why Finished Art Is A Trap
⚡ Construct → Deconstruct: Simple Objects
⚡ Complex Subject Construction
⚡ Complex Subject Deconstruction
⚡ Progressions: Train Speed + Confidence and much more...

Requirements
❗ Basic drawing skills and materials.

Description

You don't have a drawing problem. You have a thinking problem.
This is the process that drives the entire Deconstruction Lab:Construct → Deconstruct → Progress.

Construct: see your subject structurally and build it with understanding, not copying. Deconstruct: break it apart, draw it faster, and cut what isn't essential. This is where expression begins. Progress: push until it falls apart. 2 minutes, 1 minute, 30 seconds. Time forces simplification, and repetition rewires your brain.

What you'll learn
✨ Why finished art is a trap

✨ Constructing and deconstructing simple and complex subjects

✨ Timed progressions to train speed and confidence

✨ Drawing two and three objects: relationships, spacing, and decisions

✨ Line and mark making: variety without chaos

✨ Drawing from the wrist, elbow, and shoulder

✨ Angles vs. curves: how edges create energy

✨ Three ways to build form

✨ How to push a drawing until it breaks, then recover it

How the class works
✨ 16 lessons

✨ 7 assignments

✨ Self-paced, with demos you can draw along with

Who it's for
Anyone who wants looser, more confident drawing. Best after Drawing Fundamentals.

Build structure, break it apart with intention, then use time and repetition to draw simpler, looser, and more expressive.

Suited for all levels and anyone that wants a reliable approach to loosening up.

Who this course is for
⭐ Anyone who wants looser, more confident drawing. Best taken after Drawing Fundamentals, since this class applies those ideas.

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• views: 193
• date: 15 October 2026
• posted by: 0nelove

Forward Deployed Engineer
Published 10/2026
Created by JayTech AI Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 8h 15m ) | Size: 4 GB

Learn customer discovery, APIs, AI agents, system integration, and real-world Forward Deployed Engineer

What you'll learn
⚡ Conduct structured customer and stakeholder discovery.
⚡ Translate business problems into technical requirements.
⚡ Design technical architectures for complex customer environments.
⚡ AI application development and deployment
⚡ Python programming and API integration
⚡ AI workflow automation

Requirements
❗ Learners should have basic familiarity with one or more of the following: Software development APIs Databases Cloud computing Technical product implementation Basic programming concepts Advanced programming expertise is not required for every section.

Description
"This course contains the use of artificial intelligence."

Forward Deployed Engineers bridge the gap between advanced technology and business needs. They work directly with clients and organizations to understand complex problems, develop customized technical solutions, integrate AI systems, and deliver measurable business results.

In this hands-on course, you'll explore the essential skills, tools, and strategies needed to succeed as a Forward Deployed Engineer in today's rapidly evolving AI industry.

Whether you're a software developer, AI enthusiast, IT professional, consultant, or aspiring technology engineer, this course will help you develop the technical and business skills required to deliver practical AI solutions.

What You'll Learn

By the end of this course, you will be able to

✨ Understand the role and responsibilities of a Forward Deployed Engineer.

✨ Identify business challenges and translate client requirements into technical solutions.

✨ Design and develop AI-powered applications and intelligent automation workflows.

✨ Integrate APIs, databases, large language models (LLMs), and enterprise systems.

✨ Apply prompt engineering and AI agent development techniques.

✨ Build scalable solutions using modern software engineering principles.

✨ Understand cloud infrastructure, deployment workflows, and system integration.

✨ Implement testing, monitoring, security, and responsible AI practices.

✨ Collaborate effectively with clients, technical teams, and business stakeholders.

✨ Manage real-world AI implementation projects from discovery to deployment.

✨ Develop a portfolio of practical Forward Deployed Engineering projects.

✨ Explore career opportunities in AI engineering, technical consulting, and enterprise AI deployment.

Course Highlights

Practical AI Engineering: Learn how AI technologies can be applied to solve business problems.

Real-World Applications: Explore practical use cases involving AI automation, enterprise integrations, and intelligent systems.

Client-Focused Problem Solving: Develop the communication and technical skills needed to work directly with organizations.

End-to-End Deployment: Understand the complete lifecycle of designing, building, testing, and deploying technical solutions.

Career Development: Discover how to position yourself for Forward Deployed Engineer roles in AI companies, technology firms, startups, and consulting organizations.

Who this course is for
⭐ Software Engineers and Developers
⭐ AI and Machine Learning Engineers
⭐ Computer Science Students and Graduates
⭐ IT Professionals and Cloud Engineers
⭐ AI Consultants
⭐ Data Scientists and Data Engineers
⭐ Career Changers

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• views: 120
• date: 15 October 2026
• posted by: 0nelove

Fabulous Adventures in Data Structures and Algorithms,Video Edition
Released 9/2026
By Eric Lippert
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 10h 28m | Size: 2.2 GB

"Rigorous, curious, quietly funny, and extraordinarily generous with hard-won insight."

"Rigorous, curious, quietly funny, and extraordinarily generous with hard-won insight." —Scott Hanselman, MicrosoftFabulous Adventures in Data Structures and Algorithms invites you to step off the beaten path and explore interesting, unfamiliar, and even exotic algorithms that will challenge your perspective and elevate your code. Legendary language designer Eric Lippert guides you with a refreshing, conversational approach, providing beautifully practical examples that highlight the recurring patterns behind stubborn coding problems. You'll begin with a fresh look at foundational, thread-safe, and persistent immutable data structures. Lippert demystifies stacks, queues, and finger-tree deques, illustrating how to manage memory efficiently through persistence. For developers working in highly concurrent, cloud native environments, these patterns will help you eliminate hard-to-spot race conditions and state-mutation bugs. Your fabulous adventure then turns to structural search, compiler design, and the integration of functional programming within mainstream object-oriented languages. You'll dive into Directed Acyclic Word Graphs (DAWGs), greedy pretty printers, and the complexities of tree unification. This section bridges theory and real-world tools, teaching you how to design highly modular compilers or robust static analysis engines and to write declarative, composable, and expressive APIs. In the final leg of your journey, you'll model randomness, statistical reasoning, and continuous probability—core concepts for AI and predictive analytics. Lippert introduces advanced Bayesian and monadic techniques, teaching you how to construct joint distributions and sample them using the powerful Metropolis algorithm. This statistical toolkit aligns perfectly with modern data-driven systems that need to make consistent, sound decisions under real-world uncertainty. In the age of AI coding, implementation is becoming cheaper. AI can write code, but it cannot relieve developers of responsibility for understanding what the code means, why a given solution was chosen, how it will scale, and whether the problem has been framed correctly. This book develops exactly that judgment. It teaches the part that is becoming more valuable: recognizing, selecting, questioning, and evaluating the ideas behind implementations. It is an apprenticeship in computational taste, taught through unusual and memorable examples.About the TechnologyAbout the BookWhat's Inside
Build highly efficient, thread-safe concurrent systems using immutable parts
Compress massive data representation sizes using memoized quadtrees and DAWGs
Solve complex compiler optimizations using unification and backtracking search
Automate precise, mathematically sound decisions under real-world uncertainty
About the ReaderFor working programmers familiar with C#, Java, or Python.About the AuthorEric Lippert has designed programming languages, compilers, and developer tools for Microsoft, Coverity, and Facebook. He was a key member of the C# language design team and writes at ericlippert.com.QuotesFilled with real-life examples and unique experiences drawn from the author's career journey. A true gem.- Anton Gubarenko, Independent iOS Consultant, Mentor, and Startup AdvisorGoes well beyond the typical text on data structures and algorithms.- Ronald Mak, Author of Software Design for Python ProgrammersSucceeds in making advanced topics accessible without oversimplifying them.- Stepan Plotytsia, Grid Dynamics Holdings, Inc.Balances beautifully practical examples with theoretical knowledge in a way I have rarely seen.- Marc Staff, Arcelor MittalA bit of knowledge explained by someone who understands it well and sees the practical side of it.- Oleksandr Kaleniuk, Materialise N. V.This book should be on every programmer's bookshelf!- Christof Ullwer, independent computer scientistIt's informative, the writing is a breath of fresh air, and the author truly does take you on a fabulous adventure.- Clyde Kallahan, Unlocked Labs

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• views: 135
• date: 15 October 2026
• posted by: 0nelove

Hybrid and Multi-cloud Data Architecture: The Big Picture
Released 10/2026
By Landon Fowler
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 24m 18s | Size: 320.5 MB

Organizations rarely choose hybrid or multi-cloud deliberately; they inherit it through acquisitions, regulatory pressure, vendor decisions, and AI initiatives, and then struggle to explain the architecture they ended up with.

Organizations rarely choose hybrid or multi-cloud deliberately; they inherit it through acquisitions, regulatory pressure, vendor decisions, and AI initiatives, and then struggle to explain the architecture they ended up with. In this course, Hybrid and Multi-cloud Data Architecture: The Big Picture, you'll gain the ability to explain the strategic drivers and core concepts behind hybrid and multi-cloud data architecture. First, you'll explore what genuinely separates a hybrid cloud data strategy from a multi-cloud one, and why the distinction changes every decision that follows. Next, you'll discover the business risks that concentrating data in a single cloud or a single tenant quietly creates, from blast radius to lost commercial leverage. Finally, you'll learn how the four core design drivers of resilience, cost, sovereignty, and vendor lock-in avoidance shape real architectures, and why AI workload growth is accelerating hybrid and multi-cloud adoption faster than any prior trend. When you're finished with this course, you'll have the skills and knowledge of hybrid and multi-cloud data architecture needed to reason confidently about where your organization's data belongs and defend that reasoning to technical and business stakeholders alike.

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• views: 123
• date: 15 October 2026
• posted by: 0nelove

Learn Solidworks
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h | Size: 605.86 MB

Learn the fundamentals of Solidworks and create your first 3D modes from scratch

What you'll learn
Navigate the Solidworks interface and understand the essential tools and commands
Create and fully define 2D sketchins using sketch tools,relations and dimensions
Build 3D parts using fundamental Solidworks modeling features
Apply Design intent and create models that are easy to modify and update
Create and manage multi-feature mechanical parts
Create assemblies and understand how components work together
Create professional engineering drawings from 3D models
Add dimensions, annotations,and drawing views to communicate design information clearly
Create basic sheet metal parts and generate accurate flat patterns
Apply Solidworks modeling techniques through practical,real-world engineering examples
Develop the confidence to create their own mechanical designs independently in Solidworks

Requirements
Basic Computer skills
No prior Solidworks experience is required
Basic knowledge of engineering drawing and mechanical design is helpful, but not mandatory
A computer with Solidworks installed is recommended so you can follow along with the exercises

Description
Are you ready to start your journey with SolidWorks?

This beginner-friendly course is designed to introduce you to the fundamentals of SolidWorks and help you build a strong foundation in 3D CAD modeling.

Throughout the course, you will learn how to navigate the SolidWorks interface, create and modify sketches, use essential modeling tools, and build 3D models step by step through practical demonstrations.

What you will learn

- Navigate the SolidWorks interface and workspace

- Understand the basic tools and commands

- Create and edit 2D sketches

- Apply essential sketching techniques

- Create 3D models using fundamental features

- Modify and edit your models efficiently

- Navigate and control different model views

- Understand the basic workflow of creating a 3D part from a sketch

The course is suitable for complete beginners, engineering students, and anyone who wants to develop practical SolidWorks skills from the ground up

No previous SolidWorks experience is required. A basic understanding of engineering drawings is helpful. But not mandatory

By the end of this course, you will have a solid understanding of the fundamental SolidWorks workflow and the confidence to continue developing your 3D modeling skills

Start learning SolidWorks today and take your first step toward becoming a more confident 3D CAD designer

Good Luck

Who this course is for
Beginners who want to learn Solidworks from the ground up
Engineering students who want to develop practical 3D CAD skills
Mechanical and electromechanical engineers who want to improve their Solidworks skills
Designers and technicians who work with the mechanical or electrical panel components and want to create accurate 3D models
Anyone interested in developing practical Solidworks skills for engineering and design applications

Homepage

https://www.udemy.com/course/learn-solidworks-g/

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• views: 126
• date: 15 October 2026
• posted by: 0nelove

LLM & Transformer Mathematics: AI Explained Step by Step
Published 10/2026
Created by Adrian Găitan, Evaluris Solutions, Reju Kole
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 36 Lectures ( 4h 54m ) | Size: 2.2 GB

Master tokenization, embeddings, positional encoding, self-attention, QKV matrices, softmax and multi-head attention

What you'll learn
⚡ Explain how LLMs transform text into tokens, numerical IDs and continuous vector embeddings.
⚡ Calculate positional encodings using sine and cosine functions and explain how Transformers represent word order.
⚡ Break down self-attention mathematically using Query, Key and Value matrices, dot products and attention scores.
⚡ Calculate attention weights with softmax and follow the complete process from input embeddings to contextual representations.
⚡ Explain multi-head attention and how multiple attention heads capture different relationships between tokens.
⚡ Connect tokenization, embeddings, positional encoding and attention to understand how Transformer-based language models process text.

Requirements
❗ No prior experience with LLM mathematics or Transformer architecture is required.
❗ Basic high-school mathematics is helpful, but the mathematical concepts are explained step by step.
❗ An interest in AI, machine learning or Large Language Models is the only essential prerequisite.
❗ Basic Python knowledge is helpful for following the optional experiment notebook, but it is not required for the core course.

Description
Large Language Models have transformed artificial intelligence, but using an LLM and understanding how one actually works are two very different things.

This course takes you beneath the surface of modern AI and explains the core mathematics behind Transformers and Large Language Models step by step.

Rather than treating concepts such as embeddings, positional encoding, Query-Key-Value matrices and attention as black boxes, we break them down visually and mathematically so you can understand what is actually happening inside a Transformer.

You will begin with the foundations of representing language numerically. We explore categorical encoding, tokenization, vocabularies and token encoding before moving into embeddings and continuous vector spaces.

From there, we tackle one of the most important concepts in Transformer architecture: positional encoding.

You will see why Transformers need positional information, how sine and cosine functions are used to represent token positions, why even and odd dimensions are treated differently, and how the underlying equations work.

The course then moves into the heart of the Transformer: the attention mechanism.

Instead of simply showing you an attention formula, we work through the process step by step.

You will explore Query, Key and Value matrices, calculate vectors, examine dot products and vector alignment, calculate raw attention scores and visualize what those scores represent.

We then convert those raw scores into attention weights using softmax and normalization before combining them with Value vectors to produce contextual representations.

Finally, you will explore multi-head attention and see how multiple attention heads allow a Transformer to capture different relationships within the same sequence.

What you will explore
Throughout the course, you will work with concepts including

• Tokenization and vocabularies
• Numerical token representations
• Embeddings and vector spaces
• BERT and DistilBERT concepts
• Positional encoding
• Sine and cosine functions
• Query, Key and Value matrices
• Dot products and vector alignment
• Raw attention scores
• Softmax and normalization
• Attention weights
• Context vectors
• Self-attention
• Multi-head attention
• Masked language modeling

A mathematical approach without unnecessary complexity
The goal of this course is not to overwhelm you with abstract equations.

Instead, mathematical concepts are introduced when they are needed and connected directly to the Transformer components they explain.

You will follow calculations step by step and develop intuition for why the mathematics works, not simply memorize formulas.

This makes the course suitable for learners who already work with AI as well as those building a stronger technical foundation in Large Language Models.

Why take this course?
Many AI courses focus on using existing LLMs, calling APIs or building applications around models.

Those are valuable skills, but they don't necessarily explain what happens inside the model.

This course focuses on that missing layer.

By the end, terms such as embeddings, positional encoding, Query-Key-Value, attention scores, softmax, context vectors and multi-head attention should no longer feel like abstract Transformer terminology.

You will be able to connect these concepts mathematically and understand how they work together to transform tokens into context-aware representations.

If you want to move beyond simply using Large Language Models and develop a deeper understanding of the mechanisms that make Transformers work, this course is designed for you.

Who this course is for
⭐ Developers and software engineers who want a deeper understanding of Transformers, embeddings and attention mechanisms.
⭐ Data science and machine learning students who want to strengthen their mathematical intuition behind modern language models.
⭐ AI and Generative AI learners who want to understand what actually happens inside LLMs.
⭐ AI professionals who work with LLMs and want to confidently explain concepts such as QKV, self-attention, softmax and positional encoding.
⭐ Technical professionals and curious learners who want to move beyond high-level LLM explanations.

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• views: 141
• date: 15 October 2026
• posted by: 0nelove

Marketing Automation: Build Automation for Email Marketing
Published 10/2026
Created by LearnersCare LLC
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 37 Lectures ( 14h 45m ) | Size: 168.4 MB

Master Email Marketing Automation: Build Effective Automation with Professional Autoresponders to Grow Your Email List

What you'll learn
⚡ Set up and configure a professional autoresponder from scratch for effective email marketing automation and list building.
⚡ Create high-converting landing pages to grow your email list using dedicated tools and WordPress.
⚡ Integrate your autoresponder with key sales platforms like shopping carts, course sites, and affiliate networks.
⚡ Build effective email automations and drip campaign sequences to nurture leads automatically.
⚡ Master segmentation using tags from sales systems and membership platforms for targeted emails.
⚡ Design the complete opt-in experience and confirmation emails to maximize subscriber engagement.
⚡ Connect your email marketing automation to Warrior Plus and JVZoo for affiliate marketing.
⚡ Implement list cleaning strategies to maintain a healthy, engaged email list for better deliverability.
⚡ Safely export, back up, and import your valuable email list between different marketing platforms.
⚡ Understand the full technical workflow to build a complete, automated email marketing system.

Requirements
❗ No Advanced Skills Required: You do not need to be a technical expert or have prior experience with email marketing automation to succeed. We start from the beginning.
❗ Willingness to Set Up Tools: A readiness to sign up for and explore an autoresponder service (like GetResponse, Mailchimp, or AWeber) is the main requirement.
❗ Basic Computer Literacy: You should be comfortable using a web browser, creating online accounts, and following step-by-step software tutorials.
❗ A Business Platform (Helpful): Having an existing website, course platform, or store is helpful for integrations but not mandatory to follow along and learn.
❗ Goal to Grow an Audience: The core prerequisite is the desire to build, grow, and professionally manage an email list for your business or brand.

Description
This course contains the use of artificial intelligence.

Master Email Marketing Automation and build effective automation with professional autoresponders to grow your email list. Learn integrations, segmentation, and drip campaigns for leads and sales.

JoinTeam LearnersCare LLC and access the comprehensive2026 AI GiftPack. LeverageGenAI andArtificial Intelligence (AI) with a massive library of downloadable resources designed forMarketing,Sales, andStartup Success.

Welcome to the definitive course where you willMaster Email Marketing Automation. Presented by Team LearnersCare LLC, this training is your blueprint tobuild effective automation systems usingprofessional autoresponders that reliablygrow your email list and drive revenue. In today's digital landscape, an email list is not just an asset; it's the lifeblood of a sustainable online business. This course moves beyond theory to deliver the exact technical and strategic know-how needed to construct a powerful, automated marketing engine from the ground up. If you're tired of sporadic results and manual effort, this step-by-step guide is your solution.

The core of modern digital marketing isEmail Marketing Automation. It's the system that works for you 24/7, nurturing leads, delivering value, and guiding subscribers toward a purchase. This course demystifies the technology and strategy behind building a system that converts visitors into subscribers and subscribers into loyal customers. You will learn to leverageprofessional autoresponders—the essential software that powers automated communication—and integrate them seamlessly into your entire business ecosystem. We start with the foundational step: correctlysetting up your autoresponder. You'll learn not just how to create an account, but how to architect it for scalability and precision, ensuring your foundation is solid before adding complex automation.

From there, we dive into the critical skill oflist building through optimized, high-converting landing pages. You'll discover how to use dedicated landing page creators and evenWordPress to design pages that capture emails effectively. We go beyond just creating the page, teaching you how toadd and embed the crucial opt-in form that connects your website directly to your autoresponder. But capturing leads is only half the battle. The real power—and where most beginners get stuck—lies in seamless integration.

A significant portion of this course is dedicated to teaching you how tobuild effective automation by connecting yourautoresponder to the key platforms that drive your business. You will get step-by-step tutorials on integrating withcourse platforms,shopping carts, and major affiliate networks likeWarrior Plus andJVZoo. This ensures that every customer action—a purchase, a course enrollment, an affiliate sale—automatically triggers the right follow-up in your email sequence. This creates a seamless user experience, eliminates manual data entry, and saves you countless hours, allowing you to focus on strategy and growth.

The strategy deepens as we explore the art and science of the subscriber journey. You'll learn to design theopt-in experience and craft the crucialconfirmation email that maximizes initial engagement. Then, you'll master the concepts oftags and segments, which are the building blocks of targeted, personalized communication. Learn how to useemail automations to send the right message to the right person at the right time, based on their behavior. We cover practical applications, such asadding tags from your sales system andmembership platform, to dynamically segment your audience for hyper-personalized campaigns that convert.

We also address the vital but often overlooked aspects of list hygiene and management that protect your investment. You'll learn the importance and process ofcleaning your list to maintain high deliverability and engagement rates, ensuring your emails reach the inbox. We'll also cover the procedures to safelyexport and back up your list, securing your most valuable digital asset. The course concludes with guidance on migrating your list—should you ever need to switch providers—giving you full control and flexibility.

This course is designed for actionable, confidence-building learning. Every module provides clear, step-by-step instructions for implementing professional-gradeemail marketing automation. By the end, you will have the practical skills to design, build, and manage an automated email marketing system that generates leads, nurtures relationships, and increases sales on autopilot. You'll move from confusion to clarity, knowing exactly how each piece of the puzzle fits together.

Exclusive Access: The LearnersCare 2026 AI GiftPack & Resource Library
To ensure you can immediately implement theseGenerative AI (GenAI) strategies in the real world, we have unlocked a massive vault of downloadablePDF Resources at the very end of this course. This is not just a lesson; it is a completeProfessional Toolkit designed to accelerate yourBusiness Growth andProductivity.

Inside this extensive library, you will gain access to theLearnersCare 2026 AI GiftPack, a curated collection of over2,650+ Professional Prompts that serve as your personal team of experts. These resources allow you to harness the full power ofArtificial Intelligence (AI) across every major business function

✨Digital Marketing & SEO: Instantly generate content, ad copy, and social media strategies.

✨Sales & Negotiation: UseGenAI to handle objections and close high-ticket deals.

✨Startup & Leadership: Access executive-level prompts for scaling, strategy, and HR management.

✨Industry-Specific Workflows: Specialized prompt packs forReal Estate,Customer Support, andEducation.

TheseDownloadable Assets are provided for yourPersonal Use, ensuring that when you finish the videos, you have the practical tools needed to execute everything you have learned.

Team LearnersCare LLC is committed to your success as a modern marketer and entrepreneur. The ability tomaster email marketing automation is no longer a luxury; it's a fundamental necessity for anyone serious about building a profitable, scalable online presence. Whether you are an entrepreneur, marketer, coach, blogger, or content creator, this course provides the complete technical framework and strategic insights to turn your email list into your most valuable and predictable business channel. Stop leaving money on the table with a disconnected marketing approach.

Enroll today and start building your automated, profit-generating marketing empire.

Who this course is for
⭐ Online Entrepreneurs who need to build a systematic email marketing automation funnel to generate leads and sales.
⭐ Digital Marketers aiming to deepen their technical skills with professional autoresponders and advanced integrations.
⭐ Bloggers & Content Creators who want to convert their audience into a subscribed email list with automated nurture sequences.
⭐ Course Creators & Coaches looking to automate student onboarding, communication, and promotional emails via their course platform.
⭐ Affiliate Marketers using platforms like Warrior Plus and JVZoo who need to automatically tag and follow up with buyers.
⭐ E-commerce Store Owners who want to connect their shopping cart to an email automation system for abandoned cart emails.
⭐ Small Business Owners seeking a cost-effective way to manage customer relationships and marketing through email.
⭐ Marketing Beginners overwhelmed by automation tools and wanting a clear, step-by-step guide to build effective systems.
⭐ Freelancers & Agencies who want to offer email marketing automation setup and management as a service to clients.
⭐ Anyone with a Website or Product who understands that growing an email list is critical and wants to learn the technical how-to.

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• views: 184
• date: 15 October 2026
• posted by: 0nelove

Mastering Merge Conflicts in Git
Released 10/2026
By Julian Mateu
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 2h 30m 46s | Size: 457.4 MB

Complex merges are where most Git knowledge breaks down: concurrent refactors collide, directory restructures conflict with hotfixes, and a failed rebase can leave a team paralyzed.

Complex merges are where most Git knowledge breaks down: concurrent refactors collide, directory restructures conflict with hotfixes, and a failed rebase can leave a team paralyzed.

In this course, Mastering Merge Conflicts in Git, you'll gain the ability to diagnose, resolve, and recover from the most challenging merge scenarios with confidence.

First, you'll explore Git's three-way merge internals, index stages, and visual merge tooling to surgically resolve multi-file conflicts.

Next, you'll discover how Git rerere records and replays conflict resolutions to eliminate repetitive merge pain on long-lived branches.

Then, you'll learn how to apply targeted merge strategies to handle large-scale migrations without losing critical hotfixes.

Finally, you'll master the reflog and reset workflows to recover from failed merges, botched rebases, and accidental resets with zero data loss.

When you're finished with this course, you'll have the skills and knowledge of Git's conflict resolution and recovery internals needed to be the person your team calls when everything goes wrong.

Homepage

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• views: 168
• date: 15 October 2026
• posted by: 0nelove

Python for Beginners: Learn Python Programming from Scratch
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 51m | Size: 4.31 GB

A Step-by-Step Guide with Practical Examples, Coding Exercises, and Beginner-Friendly Projects

What you'll learn
Understand the fundamentals of Python programming, including variables, data types, operators, and basic syntax.
Write Python programs using conditional statements, loops, functions, and problem-solving techniques.
Work with Python data structures such as lists, tuples, sets, and dictionaries to store and manipulate data.
Develop small real-world Python projects using the concepts learned throughout the course.
Apply exception handling and debugging techniques to identify and resolve common Python programming errors.

Requirements
No prior programming knowledge is required; the course starts from the basics of Python.
Basic knowledge of computers and familiarity with using a keyboard and mouse is sufficient.
A computer or laptop with Python installed, or access to an online Python coding environment.
Basic understanding of mathematics and logical thinking will be helpful but is not mandatory.

Description
Welcome to Python for Beginners, a practical and beginner-friendly course designed to take you from your first Python program to confidently writing useful Python applications.

Whether you have never written a line of code before, are a student preparing for programming courses, a professional looking to develop a new technical skill, or simply want to learn one of the world's most popular programming languages, this course provides a structured path to learning Python step by step.

You don't need any previous programming experience. We start with the fundamentals and gradually move toward more practical programming concepts, allowing you to build your knowledge and confidence as you progress.

What Will You Learn?

Throughout this course, you will learn the essential concepts required to start programming with Python.

You will begin by understanding what Python is, how it works, how to install and configure the Python environment, and how to write and execute your first Python program.

From there, you will learn important programming fundamentals, including

- Python syntax and programming fundamentals

- Variables and data types

- Numbers, strings, and Boolean values

- Input and output

- Operators and expressions

- Conditional statements

- if, elif, and else

- For and while loops

- Break and continue statements

- Lists, tuples, sets, and dictionaries

- Working with strings

- Functions and parameters

- Return values

- Lambda functions

- Modules and packages

- Exception handling

- Reading and writing files

- Object-oriented programming fundamentals

- Classes and objects

- Constructors and methods

- Inheritance and other OOP concepts

- Working with Python libraries

- Practical problem-solving techniques

The course emphasizes learning by doing. Instead of simply memorizing programming concepts, you will work through examples and exercises that help you understand how Python works in real programming situations.

Learn Through Practical Examples

Programming becomes easier when you practice.

That's why this course focuses on writing code throughout the learning process. You will see how individual concepts work, understand the logic behind them, and then apply those concepts to programming exercises.

You will encounter practical examples involving calculations, text processing, conditions, loops, collections, functions, files, and object-oriented programming.

The goal is not simply to finish the lessons. The goal is to develop the ability to read, understand, write, test, and improve Python code independently.

Build Your Programming Confidence

Many beginners find programming difficult because they try to learn too many concepts at once.

This course follows a gradual learning path.

First, you learn the basics.

Then, you combine those basics to solve increasingly practical problems.

Finally, you apply your knowledge to projects and programming challenges.

By following this approach, you can develop a stronger understanding of programming logic and become more comfortable writing Python code on your own.

Who Is This Course For?

This course is ideal for

- Complete beginners with no programming experience

- Students who want to learn Python from the beginning

- People switching to programming from a non-technical background

- Professionals who want to add Python to their skill set

- Aspiring developers who want a strong Python foundation

- Data science beginners who need Python fundamentals

- Anyone who wants to practice programming through examples and exercises

You do not need prior Python knowledge to take this course.

Basic computer knowledge is helpful, but everything else is introduced progressively throughout the course.

What Can You Do After This Course?

After completing the course, you will have a solid foundation in Python programming and will be able to write programs using fundamental Python concepts.

You will be prepared to continue learning more advanced areas such as

- Data Science with Python

- Machine Learning with Python

- Web Development with Python

- Automation and Scripting

- Data Analysis

- Python Software Development

This course is designed to give you the foundation required to move confidently into these areas.

Why Learn Python?

Python is known for its readable syntax and wide range of applications. It is used in software development, automation, data analysis, scientific computing, web development, and many other technical fields.

Learning Python can therefore provide you with a valuable programming foundation that can be applied across multiple career and learning paths.

But you don't need to learn everything about Python at once.

Start with the fundamentals, practice consistently, and gradually build your skills.

Start Your Python Journey Today

If you've always wanted to learn programming but didn't know where to start, this course gives you a structured and approachable starting point.

You will learn step by step, practice with examples, solve programming problems, and develop the confidence to write Python programs independently.

No complicated assumptions. No requirement for previous programming experience.

Just a practical learning path from Python beginner to confident programmer.

Enroll today and start writing your first Python program!

Who this course is for
Students who are new to programming and want to learn Python from scratch.
Beginners who want to build a strong foundation in Python programming.
College and university students who want to learn Python for academic and career purposes.
Working professionals who want to develop basic Python programming skills.
Anyone interested in learning Python for automation, data analysis, artificial intelligence, or other technology fields.

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• views: 149
• date: 15 October 2026
• posted by: 0nelove

Quantum Computing & Quantum Machine Learning with Python
Published 10/2026
Created by Sahinur Islam
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 126 Lectures ( 24h 44m ) | Size: 9.2 GB

Master qubits, gates, Qiskit, Grover and Shor, then build quantum machine learning models with PennyLane and Python

What you'll learn
⚡ Explain qubits, superposition, entanglement, interference and measurement clearly and correctly
⚡ Use the linear algebra of quantum computing: complex numbers, Dirac notation, unitary matrices and tensor products
⚡ Build, simulate, transpile and run quantum circuits in Python with Qiskit 1.x, Qiskit Aer and Qiskit Runtime
⚡ Implement teleportation, superdense coding, Deutsch-Jozsa, Grover's search, the quantum Fourier transform, phase estimation and Shor's algorithm
⚡ Run experiments on real quantum hardware, model noise, and apply error-mitigation techniques
⚡ Explain the principles of quantum error correction, from repetition codes to surface codes
⚡ Encode classical data into quantum states and build variational quantum classifiers and quantum kernel models with PennyLane and Qiskit Machine Learning
⚡ Train hybrid quantum-classical models with PyTorch, and solve optimisation problems with VQE and QAOA
⚡ Benchmark quantum models honestly against classical baselines and judge claims of quantum advantage
⚡ Complete four portfolio-ready capstone projects and plan a career path in quantum technology

Requirements
❗ Basic Python programming (variables, functions, loops, lists); every library is introduced from scratch
❗ High-school algebra; all linear algebra and complex numbers are taught in Module 2
❗ A computer (Windows, macOS or Linux) with internet access; all software used is free and open source
❗ No prior physics, quantum mechanics or machine learning knowledge is required

Description
This course contains the use of artificial intelligence.

Quantum computing is moving out of the physics lab and onto the developer's laptop. Today you can write a quantum program in Python, run it on a simulator in seconds, and send it to real quantum hardware through the cloud. This course gives you a clear, rigorous and beginner-friendly path from your very first qubit to training hybrid quantum machine learning models.

What makes this course different
✨From zero to advanced in one path. We start with the big picture and the essential mathematics (complex numbers, vectors, matrices, tensor products), then build up to quantum gates, circuits, entanglement, the major algorithms, real hardware and quantum machine learning.

✨Code-first and current. Every concept is backed by Python code using Qiskit 1.x (circuits, primitives, Aer simulation, transpilation, Qiskit Runtime) and PennyLane with PyTorch for quantum machine learning.

✨Honest about what quantum can and cannot do. You will learn to tell real quantum advantage from hype: which speed-ups are exponential, which are quadratic, which are heuristic, and how to benchmark quantum models fairly against strong classical baselines.

✨Real hardware and real noise. You will run circuits on real quantum processors, measure noise, apply error-mitigation techniques, and understand how quantum error correction works.

✨Portfolio-ready capstones. Four capstone projects (an algorithm toolkit, a noise-aware hardware experiment, a hybrid quantum classifier and a QAOA portfolio optimiser) give you work you can show employers.

What's inside
✨ 12 modules, 24 hours of narrated, slide-based video lectures, each 5 to 15 minutes long

✨ 15+ hands-on coding labs and 4 capstone projects

✨ A quiz with detailed answer explanations at the end of every module

✨ Setup guides and code you can run on a free simulator or on free tiers of real quantum hardware

Course structure
✨ Introduction to Quantum Computing

✨ Essential Mathematics and Linear Algebra

✨ Qubits, Superposition, and Measurement

✨ Quantum Gates and Circuits

✨ Python, Qiskit, and Quantum Simulators

✨ Entanglement and Quantum Protocols

✨ Quantum Algorithms: Grover, QFT, and Shor

✨ Real Quantum Hardware, Noise, and Error Correction

✨ Machine Learning Foundations and Data Encoding

✨ Quantum Machine Learning with PennyLane and Qiskit

✨ Hybrid Quantum-Classical AI and Optimization

✨ Capstone Projects and Career Roadmap

No physics degree is required. If you can write basic Python and remember high-school algebra, this course will teach you everything else, step by step.

Who this course is for
⭐ Software developers and Python programmers who want to add quantum computing to their skill set
⭐ Data scientists and machine learning engineers curious about quantum machine learning and hybrid AI
⭐ Students of computer science, physics, mathematics or engineering looking for a practical, code-first introduction
⭐ Researchers and technical professionals who need to evaluate quantum computing for their organisation
⭐ Curious learners who want a rigorous but beginner-friendly path from first principles to advanced topics

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• views: 98
• date: 15 October 2026
• posted by: 0nelove

RE3 Regulatory Exam Masterclass 2026 | FAIS
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 30h 26m | Size: 11.02 GB

Master FAIS legislation, Key Individual duties, Fit and Proper requirements, compliance and regulatory exam preparation

What you'll learn
Understand the FAIS Act, regulatory framework and the responsibilities of Key Individuals in managing and overseeing financial services providers.
Explain licensing, Fit and Proper requirements, operational oversight, compliance obligations and regulatory accountability under FAIS.
Apply FAIS requirements to supervision, representative management, debarment, complaints handling, risk management and regulatory reporting.
Prepare for the RE3 examination by interpreting regulatory requirements, analysing complex scenarios and identifying legally correct answers.

Requirements
No prior regulatory examination experience is required. This course explains FAIS legislation and Key Individual responsibilities from foundational concepts. Basic English comprehension and an interest in financial services regulation are recommended.

Description

This course contains the use of artificial intelligence.
RE3 Regulatory Examination Masterclass 2026 | FAIS

Prepare confidently for the South African RE3 Regulatory Examination with comprehensive training on the Financial Advisory and Intermediary Services Act (FAIS Act), Key Individual responsibilities and regulatory compliance.

This masterclass is designed for aspiring and existing Key Individuals, Financial Services Provider (FSP) managers, compliance professionals and individuals preparing for the RE3 examination.

What You Will Learn
- Understand the FAIS Act and the role of the Financial Sector Conduct Authority (FSCA).

- Explain Key Individual management and oversight responsibilities.

- Understand FSP licensing, authorisation and Fit and Proper requirements.

- Apply compliance management, risk management and regulatory reporting principles.

- Understand representative supervision, debarment and regulatory accountability.

- Explore the General Code of Conduct, disclosure requirements and client protection.

- Understand regulatory enforcement and consequences of non-compliance.

One Full RE3 Mock Examination – 50 Questions
The course includes one complete 50-question practice examination to assess your knowledge, strengthen regulatory interpretation skills and identify areas requiring further preparation.

Why Enrol?
Benefit from beginner-friendly explanations, practical examples, structured regulatory training and examination-focused learning.

Important Disclaimer
Artificial intelligence has been used to assist with course development, narration.

This course is independently developed and is not affiliated with, endorsed or approved by the FSCA. Mock questions are not official examination questions. Learners should consult current official regulatory materials. Examination success is not guaranteed.

Who this course is for
This course is designed for aspiring and existing Key Individuals preparing for the South African RE3 Regulatory Examination, financial services managers, FSP owners, compliance professionals, supervisors and individuals responsible for managing or overseeing FAIS-regulated financial services activities. It is also suitable for beginners seeking a structured understanding of the legal and operational responsibilities of Key Individuals.

Homepage

https://www.udemy.com/course/re3-regulatory-exam-masterclass-2026-fais/

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• views: 145
• date: 15 October 2026
• posted by: 0nelove

Stock Market Investing: From Beginner to Investor
Published 10/2026
Created by François M. Bell, PhD
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 24 Lectures ( 4h 13m ) | Size: 1.6 GB

Learn to invest in stocks and ETFs, analyze investments, build a diversified portfolio, and manage risk with confidence.

What you'll learn
⚡ Understand how the stock market works, including stocks, ETFs, market indexes, and the main principles of long-term investing.
⚡ Open an investment account and confidently navigate brokerage platforms to buy and sell stocks and ETFs.
⚡ Analyze stocks using financial indicators and free tools such as Google Finance and Yahoo Finance.
⚡ Build, diversify, and monitor an investment portfolio based on financial goals, risk tolerance, and investment horizon.
⚡ Compare passive investing, value investing, growth investing, and dividend strategies to develop a personal investment approach.
⚡ Understand investor psychology, avoid common investing mistakes, and explore tax-advantaged investment accounts.

Requirements
❗ No prior investing experience is required. This course starts with the fundamentals and progresses step by step.
❗ A computer or smartphone with internet access is recommended for exploring free financial tools and completing practical exercises.

Description

Learn Stock Market Investing from Scratch — Build the Knowledge to Become an Independent Investor!
Do you want to start investing in the stock market but don't know where to begin? Are you confused by stocks, ETFs, investment accounts, and financial markets?

This comprehensive course is designed to help you understand investing step by step, even if you have no previous experience.

With more than4 hours of video lessons, practical demonstrations, real-world examples, and downloadable resources, you will develop the knowledge and skills needed to make more informed investment decisions.

What You Will Learn
✨ Understand how stock markets work and why investing matters.

✨ Learn the fundamentals of risk, return, and compound growth.

✨ Discover how to choose an online broker and open your first investment account.

✨ Understand stocks and learn how to analyze companies using financial indicators.

✨ Explore Exchange-Traded Funds (ETFs) and their role in diversification.

✨ Build and manage a diversified investment portfolio.

✨ Learn how to assess investments using free tools such as Google Finance.

✨ Understand investor psychology and avoid common emotional mistakes.

✨ Compare passive, active, value, growth, and dividend investing strategies.

✨ Apply your knowledge through practical investment case studies.

✨ Explore tax-advantaged investment accounts in Canada, the United States, and other countries.

Practical Learning and Downloadable Resources
This course goes beyond theory. You will learn through practical examples and demonstrations designed to help you apply what you have learned.

You will also receive

✨ A comprehensive reference manual.

✨ An exercise workbook.

✨ An Excel financial calculator.

✨ Knowledge-check quizzes.

✨ Practical investment case studies.

✨ A disciplined investor charter.

Who Is This Course For?
This course is ideal for beginners, savers who want to start investing, and individuals looking to strengthen their investment knowledge.

No previous investing experience is required.

About Your Instructor
François M. Bell, PhD, is an economist passionate about financial education. His goal is to make investing accessible, practical, and understandable for everyone.

Start Your Investing Journey Today!
Investing is a lifelong skill. With the right knowledge, patience, and discipline, you can develop a structured approach to managing your investments and working toward your financial goals.

Enroll today and take your first step toward becoming a knowledgeable and independent investor!

Disclaimer: This course is for educational purposes only and does not constitute personalized financial, investment, or tax advice. Investing involves risk, including possible loss of capital.

Who this course is for
⭐ Complete beginners who want to understand the

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• views: 359
• date: 15 October 2026
• posted by: mata00

What if you could generate hundreds of high-paying leads with just 2 minutes of effort every day… and convert them into premium clients paying you 1000 USD per month?

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• views: 300
• date: 15 October 2026
• posted by: mata00

What if you could generate hundreds of high-paying leads with just 2 minutes of effort every day… and convert them into premium clients paying you 1000 USD per month?

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• views: 345
• date: 15 October 2026
• posted by: mata00

Camilo Castañeda- Direct Response Academy (Up to September 2026)

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• date: 15 October 2026
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Jo Han Mok - Copywriting Empire

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• date: 15 October 2026
• posted by: mata00

Master Carousels, Master Social Media in 2026

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• date: 15 October 2026
• posted by: mata00

Vahva Fitness – Athlete 20XX Method
Develop an athletic physique from zero to hero without needing to spend 1000s for a great coach.

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