• views: 197
• date: 18 September 2026
• posted by: 0nelove

Adrian Cantrill - AWS Certified CloudOps Engineer - Associate (SOA-C03)
Released 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 346 Lessons ( 58h 11m ) | Size: 6.6 GB

Learn real CloudOps skills and confidently pass the SOA-C03 exam

The AWS Certified CloudOps Engineer - Associate is one of the most valuable and in-demand cloud certifications, part of the AWS Associate (All-3) series. It covers all of the core AWS services which relate to systems administration and operations and is perfect for DevOps engineers or sysadmins looking to skill-up in a new area. This brand new AWS Certified CloudOps Engineer - Associate Course is the most in-depth, high quality and up to date course on the market for this certification. It continues thehttps://learn.cantrill.io tradition of creating courses with in-depth and efficient theory lessons and rely on premium visuals and fun and complex real world like demos.

SUITABLE FOR
IT newcomers or anyone looking to change careers.
Experienced Engineers, Consultants or DevOps Engineers
IT Managers looking to understand AWS operational & administration tooling & product offerings

REQUIREMENTS
No previous AWS Knowledge required
Laptop or Workstation to perform the demo lessons
An email address and credit/debit card for the AWS account(s)
WHAT MAKES THIS COURSE DIFFERENT
PRODUCTION VALUES: The course includes best of class theory, architecture and practical demo lessons. Everything in the course is there for a reason, is produced to a high standard and aids in your learning

ALWAYS CONSIDERS COST: The course starts by helping you create and setup AWS accounts which you will use for your study. These will benefit from the free-tier wherever possible, and uses lower-cost types, sizes, and SKUs to keep costs of your hands-on experienced in mind.

SUITABLE FOR ANYONE: You don't need any AWS experience; the course starts by introducing cloud computing and AWS fundamentals at a basic level - ensuring that no student is left behind. What you will need is a computer, an email address and payment card to create the AWS account and a commitment to put in the effort required to pass a challenging exam.

LEARN REAL SKILLS: This course isn't just about the exam, the AWS Certified CloudOps Engineer - Associate is one of the most valuable certifications available in IT - but obtaining $100,000+ cloud positions will require experience as well as accreditation. By the end of the course, you will be prepared to pass the exam confidently while also having gained enough experience to use AWS day to day from an operational and administration perspective.

SCENARIO BASED: The course is based around a real-world like organization Aus-E-Mart (ausemart.net). The theory and demo lessons are structured around scenarios which you will encounter in the real world. Whether we're talking about serverless applications, data migration and connecting AWS to on-premises environments using a Site-to-Site VPN - the things you learn will be useful in the real world.

RESPECTS YOUR TIME: I promise to respect your time. Everything in the course is either relevant to the exam, or will provide the surrounding knowledge which will help you pass with confidence; while also gaining the practical experience needed to get access to exciting job opportunities. Lessons are never more than 20 minutes and often much shorter - I prioritize efficiency, not duration. Each section includes a quiz helping you retain knowledge, and at the end of the course, we've designed a full practice exam which mirrors real-world conditions.

TECHNICAL FOUNDATIONS AND AWS: The course covers the essential architectural concepts as they relate to AWS but also covers the core AWS products featured in the exam in some depth. Topics covered include:-

Identity and Access Management (IAM)
Simple Storage Service (S3)
Elastic Compute Cloud (EC2)
Virtual Private Cloud (VPC)
Autoscaling and Launch Templates
Database Solutions including DynamoDB, RDS and Aurora
Application Services (SNS, SQS, EventBridge, SES, Step Functions)
Serverless Architecture (Lambda & API Gateway)
Monitoring, Deployment and Security
OPERATIONS AND ADMINISTRATION SPECIFIC TOOLING

Infrastructure as Code (CloudFormation and AWS CDK)
Fault finding and performance tuning of AWS Resources
Security Concepts in-depth
Encryption in-transit and at rest
Automation within AWS
ALWAYS ACCURATE/ALWAYS UP TO DATE: I pride accuracy and so commit to keeping the content up to date with regular updates as AWS announces new products or features. Updates will be included in your one-time course purchase so you can study at your own pace.

By the end of this course, you will be able to confidently pass the associate-level AWS Certified CloudOps Engineer exam and start getting access to some of the best paying careers in the industry.

COURSE OUTCOMES
Be ready to sit and pass the CloudOps Engineer Associate exam with confidence
Be able to design local, global, elastic architectures in AWS that are secure, cost-effective, resilient, efficient and adhere to AWS best practices.
Understand and appreciate for technical fundamentals which AWS products and services rely on
Practical experience of:-
Building in AWS
Evolving architectures in AWS
and implementing serverless applications
Level Up your career in terms of $ and project opportunities
A foundation for the AWS DevOps Engineer Professional or Specialty level certifications
BY THE NUMBERS
Created and taught by an experienced instructor
10,000's of students across several cloud and technology stacks
Instructor rating of over 98%.
15 years+ of Consultancy experience
Many IT certifications across cloud, on-prem, networking, and more
Professional level production values

Download

Post Comment [0]

• views: 202
• date: 17 September 2026
• posted by: 0nelove

How Banks Actually Work - Product, Business Model, Risk
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 4m | Size: 735.07 MB

The business models, metrics and benchmarks that tell you what is really going on inside a bank

What you'll learn
Understand banking business models
Learn most important financial metrics in banking and finance industry
Understand what are the risks of banking industry and cause of financial crisis in history
Conduct comparison of performance by different banks

Requirements
No economic degrees required, you will learn what is bank and how bank works.

Description
This course contains the use of artificial intelligence.

How Banks Actually Work is a bank analyst's map of an industry that is easy to describe and hard to read. It is built for people who work in or follow finance and want to understand a bank's numbers the way an analyst does, without having done the job. No prior banking knowledge is assumed.

The course starts with what a bank actually is: a balance-sheet business that borrows short and lends long, where the mismatch is the product rather than a defect. From there it separates the industry into its real families, retail, commercial, investment, asset management, custody and payments, and shows why each one funds itself differently and optimises for different things. It then covers the supervisors and central banks that sit above them, and why the same business faces different constraints in different countries.

The second half is the analytical toolkit. You learn the return on equity tree that organises every bank metric, where reported numbers come from and why two identical banks can report differently, and the four profitability ratios with their different benchmarks. Capital, asset quality and liquidity each get a lesson, including the metrics that mattered at Silicon Valley Bank. The course closes with cross-system benchmarks and a method for comparing two banks without fooling yourself.

Who this course is for
People working in banks and financial institutions
Stock market analysts try to learn about banking industry
People who want to know more about banking business model

Homepage

https://www.udemy.com/course/understand-how-banks-actually-work-in-3-hours/

Download

Post Comment [0]

• views: 92
• date: 17 September 2026
• posted by: 0nelove

Azure RAG Patterns: Azure AI Search & OpenAI Pipelines
Published 9/2026
Created by ACHRAF ER-RAYA
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 21m ) | Size: 951.8 MB

Master Retrieval Augmented Generation (RAG) on Azure: AI Search, Azure OpenAI, hybrid retrieval & agentic chat.

What you'll learn
⚡ Build automated Python ingestion pipelines to parse, chunk, & index documents with Hybrid Search & Semantic Ranker.
⚡ Design production RAG topologies using Azure AI Foundry SDK, query rewriting, & conversation state management.
⚡ Deploy safe RAG apps to Azure App Service with Azure Content Safety guardrails & automated RAG Triad evaluations.
⚡ Implement end-to-end security, Azure AI Content Safety guardrails, and automated RAG Triad evaluations to safely deploy production RAG apps to Azure.

Requirements
❗ Basic proficiency in Python and an active Azure subscription with access to Azure OpenAI services.

Description
This course contains the use of artificial intelligence.

Build a production-minded Retrieval Augmented Generation application on Azure instead of stopping at a toy chatbot.

This hands-on course takes you from Azure resource foundation to secure document ingestion, hybrid retrieval, cited chat, evaluation, and release review. You will use Microsoft Foundry, Azure AI Search, Azure OpenAI models, managed identity concepts, and practical engineering templates that you can adapt to an internal knowledge assistant.

Who this course is for
⭐ Python developers, AI engineers, and cloud architects looking to build secure, production-ready enterprise RAG applications on Azure.

Download

Post Comment [0]

• views: 132
• date: 17 September 2026
• posted by: 0nelove

Advanced RAG Techniques
Published 9/2026
Created by Start-Tech Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 4h 43m ) | Size: 2.3 GB

Master Advanced RAG with Hybrid Search, Query Transformation, Self-RAG, CRAG, GraphRAG, and Multimodal Retrieval

What you'll learn
⚡ Design and build advanced RAG pipelines using semantic chunking, retrieval strategies, and optimized search techniques
⚡ Improve RAG retrieval quality using hybrid search, keyword search, cross encoders, and advanced ranking methods
⚡ Enhance retrieval accuracy through multiple query generation, query rewriting, query expansion, and HyDE techniques
⚡ Develop advanced RAG applications using Self-RAG, Corrective RAG, and GraphRAG architectures for reliable information retrieval
⚡ Build multimodal RAG systems that process complex PDFs, tables, embeddings, and multimodal data for effective retrieval
⚡ Evaluate and optimize RAG applications for quality, cost, reliability, and production performance using observability, tracing, and telemetry

Requirements
❗ No prior AI or technical experience is required — just a computer, internet connection, and a willingness to learn advanced RAG techniques.

Description
Are you an AI engineer, machine learning professional, data scientist, software developer, or someone looking to build more accurate, reliable, and production-ready Retrieval-Augmented Generation (RAG) applications?

Imagine being able to improve document retrieval, optimize chunking strategies, enhance user queries, combine multiple search methods, build Self-RAG and Corrective RAG systems, work with complex PDFs and tables, retrieve information from multimodal data, and evaluate and optimize RAG applications for real-world use.

Retrieval-Augmented Generation is rapidly becoming one of the most important techniques for building AI applications that can work with private, domain-specific, and constantly changing information. However, building a basic RAG pipeline is only the beginning. Real-world applications require advanced retrieval strategies, better query understanding, reliable architectures, multimodal capabilities, evaluation, cost optimization, and production observability.

Advanced RAG techniques help overcome many of the limitations found in traditional RAG systems. From semantic chunking and hybrid search to query rewriting, HyDE, Self-RAG, Corrective RAG, and GraphRAG, these techniques can significantly improve the quality and reliability of AI-powered applications.

In this course, you will learn how to build and optimize advanced RAG systems through a practical, hands-on approach. Starting with RAG foundations and architecture, you will explore advanced chunking and retrieval techniques, query transformation, advanced RAG architectures, multimodal retrieval, evaluation, cost optimization, and production monitoring.

What You Will Learn
✨ Understanding RAG architecture and advanced retrieval workflows

✨ Learning different chunking strategies for RAG applications

✨ Implementing fixed-size and semantic chunking techniques

✨ Understanding the limitations of fixed-size chunking

✨ Building semantic chunking pipelines through hands-on implementation

✨ Understanding search algorithms used in RAG systems

✨ Implementing keyword search for information retrieval

✨ Understanding and implementing hybrid search methods

✨ Using cross encoders for improved document ranking

✨ Building practical hybrid search pipelines

✨ Understanding query enhancement and transformation techniques

✨ Generating multiple queries to improve retrieval coverage

✨ Applying query rewriting and query expansion techniques

✨ Understanding HyDE for improving semantic retrieval

✨ Implementing practical query transformation workflows

✨ Understanding advanced RAG architectures and their applications

✨ Building and understanding Self-RAG systems

✨ Understanding Corrective RAG (CRAG) architectures

✨ Implementing practical Corrective RAG workflows

✨ Understanding GraphRAG and graph-based retrieval approaches

✨ Understanding multimodal RAG and multimodal information retrieval

✨ Parsing complex PDFs and extracting information from tables

✨ Understanding embeddings for advanced retrieval workflows

✨ Implementing multimodal retrieval techniques

✨ Building practical multimodal RAG applications

✨ Evaluating the performance and quality of RAG systems

✨ Understanding cost optimization strategies for RAG applications

✨ Monitoring RAG applications using observability techniques

✨ Understanding tracing and telemetry for production RAG systems

✨ Applying practical techniques for building production-ready RAG pipelines

Why This Course Is Important
Basic RAG systems can provide useful results, but real-world applications often face challenges such as poor document retrieval, irrelevant context, incomplete answers, complex documents, high operational costs, and difficulty monitoring system performance.

Advanced RAG techniques provide solutions to these challenges by improving how information is processed, retrieved, ranked, and provided to language models. Techniques such as semantic chunking, hybrid search, query transformation, Self-RAG, Corrective RAG, and GraphRAG allow developers to build more capable and reliable AI applications.

Modern organizations are increasingly using RAG to build AI assistants, knowledge management systems, enterprise search applications, document intelligence solutions, and domain-specific AI tools. Understanding how to optimize these systems is becoming an important skill for professionals working with Generative AI.

This course focuses on the techniques required to move beyond basic RAG implementations and build systems that are more accurate, efficient, scalable, and suitable for real-world applications.

What Makes This Course Unique
This course focuses on practical implementation rather than theory alone. Each major concept is connected to practical RAG development scenarios so that you can understand not only what a technique is, but also when and why it should be used.

You will explore advanced chunking, retrieval, query transformation, advanced RAG architectures, multimodal retrieval, evaluation, cost optimization, and observability through a structured learning path.

The course progressively moves from RAG foundations to advanced techniques, helping you understand how individual components affect the overall performance of a RAG system.

You will work with practical implementations covering semantic chunking, hybrid search, query transformation, Corrective RAG, multimodal retrieval, evaluation, and production monitoring.

The course is designed for learners who want to go beyond basic RAG concepts and develop the skills needed to design and improve advanced RAG applications.

A basic understanding of Generative AI, Large Language Models, embeddings, and RAG concepts will be helpful, but the course progressively explains the key concepts required to understand the advanced techniques.

Start Your Advanced RAG Journey
The future of AI applications is moving beyond simple chatbot experiences toward intelligent systems that can retrieve, reason over, and work with complex sources of information.

Advanced RAG techniques are helping organizations build AI systems that can work with enterprise documents, structured and unstructured data, complex PDFs, tables, images, and knowledge graphs while delivering more relevant and reliable responses.

In this course, you will learn how to move beyond traditional RAG and build advanced retrieval pipelines using modern techniques such as semantic chunking, hybrid search, query transformation, Self-RAG, Corrective RAG, GraphRAG, and multimodal retrieval.

You will also learn how to evaluate, optimize, monitor, and improve RAG applications so they are better prepared for real-world and production environments.

If you are ready to take your RAG skills beyond the basics and learn how to design, optimize, and build advanced RAG systems, enroll now and start your Advanced RAG journey today.

Who this course is for
⭐ AI and Machine Learning Engineers who want to design, develop, and optimize advanced Generative AI and RAG applications.
⭐ Data Scientists and Data Engineers working with retrieval systems, unstructured data, knowledge bases, and AI-powered data applications.
⭐ Software Developers and AI Developers building intelligent search, document intelligence, enterprise knowledge management, and AI assistant solutions.
⭐ Generative AI and NLP Professionals looking to move beyond basic RAG implementations and apply advanced retrieval and generation techniques.
⭐ Cloud and AI Solution Architects interested in designing scalable, reliable, and production-ready RAG architectures for real-world applications.
⭐ Technical Professionals and Researchers exploring Self-RAG, Corrective RAG, GraphRAG, multimodal retrieval, evaluation, and RAG optimization.
⭐ Students and Aspiring AI Professionals pursuing careers in Artificial Intelligence, Machine Learning, Data Science, NLP, or Generative AI who want practical RAG development skills.

Download

Post Comment [0]

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

Cybersecurity 101: SOC Operations Fundamentals for Beginners
Published 9/2026
Created by Rob Cyber
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 31 Lectures ( 5h 11m ) | Size: 6.1 GB

Learn how SIEM, SOAR, EDR, IDS, firewalls, and other SOC security tools protect organizations from cyber threats.

What you'll learn
⚡ Understand the fundamental roles, responsibilities, and workflows of a modern Cybersecurity Security Operations Center (SOC) in a classroom learning environment
⚡ Develop a foundational understanding of endpoint, network, identity, email, DNS, and cloud security within a SOC environment
⚡ Understand how different cybersecurity systems share information and support analysts during security monitoring and investigations
⚡ Build the foundational SOC knowledge needed to transition into hands-on training with Splunk, Linux, Wireshark, PowerShell, and other cybersecurity technologies

Requirements
❗ No experienced required. This course is for Absolute Beginners with no hands-on experience. Course is taught in a classroom setting.

Description
Welcome toCybersecurity SOC Operations 101 with Rob Cyber!

If you are completely new to cybersecurity and want to understand what actually happens inside a Security Operations Center, you are in the right place.

This course was designed specifically forabsolute beginners who want to build a strong foundational understanding of Cybersecurity SOC Operations before moving into more advanced hands-on technical training.

This isnot a hands-on lab course.

Instead, think of this course as yourCybersecurity SOC classroom, where we are going to focus on helping you understand the technologies, security platforms, processes, and workflows that cybersecurity professionals use every day.

No Fluff Course:Straight-to-the-Point Cybersecurity SOC Fundamentals for Beginners. No Hours of Endless Videos.

Throughout the course, you'll learn the fundamentals of

• SOAR Security, Integrations, Playbooks, and Incident Response
• SIEM and SOC security platforms
• Microsoft Sentinel
• IBM QRadar
• Intrusion Detection Systems
• Intrusion Prevention Systems
• Endpoint Security with CrowdStrike
• Microsoft Defender
• Vulnerability Management
• Email Security
• DNS Security
• Cloud Security
• Identity and Access Management
• The Microsoft Security ecosystem
• SOC investigations and security workflows

Most importantly, you will begin to understandhow all of these different cybersecurity systems work together inside a modern Security Operations Center.

Who Is This Course For?

This course is designed for anyone who wants to develop a foundational understanding of Cybersecurity SOC Operations, including

• AspiringSOC Analysts
• AspiringCybersecurity Analysts
• AspiringNetwork Security Engineers
• CurrentIT Professionals interested in transitioning into cybersecurity
• Help Desk and Technical Support professionals
• Network Administrators and Network Technicians
• Students preparing to begin cybersecurity training
• Career changers with little or absolutelyZERO cybersecurity experience
• Anyone interested in understanding how modern cybersecurity operations work

You donot need previous cybersecurity experience to begin this course.

My goal is for you to finish this course with a much clearer understanding ofhow Cybersecurity SOC Operations actually work, what SOC and cybersecurity analysts are responsible for, and how the different security technologies communicate and work together during security monitoring, investigations, and incident response.

And this course is just the foundation.

Once you complete this course, you will be in a much better position to pivot intohands-on cybersecurity labs and technical training involving technologies such as

• Splunk
• Linux
• Wireshark
• PowerShell
• SIEM platforms
• Endpoint Security tools
• Network Security tools
• Incident Response technologies
• And much more

Who this course is for
⭐ Beginners that are interested in Learning Cybersecurity and becoming a Cybersecurity Analyst.
⭐ Entry-level students that want to learn in a classroom type of environment before transitioning into hands-on training.

Download

Post Comment [0]

• views: 206
• date: 17 September 2026
• posted by: 0nelove

OpenClaw Mastery: AI Security, VPS & Autonomous AI Employee
Published 9/2026
Created by Eduonix Learning Solutions
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 50m ) | Size: 1023.6 MB

Master OpenClaw Security, VPS Setup & Workforce Design with a Hands-On Capstone: Build an Autonomous AI Employee

What you'll learn
⚡ Learn to secure OpenClaw with authentication, least privilege, sandboxing, monitoring, and best practices for protecting AI agents.
⚡ Deploy OpenClaw on a Linux VPS using Docker, HTTPS, networking, remote access, backups, and ongoing maintenance.
⚡ Design an AI workforce with specialized agents, task routing, communication, operating rules, and collaborative workflows.
⚡ Build and deploy an autonomous AI employee through a hands-on capstone project using OpenClaw, memory, context, and tools.

Requirements
❗ Basic computer skills, familiarity with AI agents, and an internet connection. Linux and Docker knowledge is helpful but not required.

Description
Step into the world of autonomous AI agents and learn how to securely deploy OpenClaw, design an AI-powered workforce, and build your own autonomous AI employee from the ground up. This practical, project-based course combines AI agent security, VPS deployment, workforce architecture, and hands-on implementation to help you develop valuable skills for building and managing AI-driven solutions.

The course begins with the essential security principles required to operate OpenClaw safely in real-world environments. You will explore how to protect sensitive information and secrets, implement authentication, apply least-privilege access, use sandboxing, and establish monitoring practices. You will also learn how to prepare for potential security incidents and maintain a more secure AI agent environment.

Next, you will learn how to deploy OpenClaw on a Linux VPS using Docker-based installation methods. The course covers remote access, networking, HTTPS configuration, private networking concepts, backups, updates, and ongoing maintenance. These lessons will help you understand the infrastructure and operational practices involved in running OpenClaw beyond a local development environment.

You will then discover how to design a specialized AI workforce by defining agent roles, assigning responsibilities, routing tasks, and enabling communication between AI agents. You will explore workforce design principles and learn how multiple AI agents can work together within a structured architecture to support business and productivity workflows.

The course concludes with an excitinghands-on capstone project: Build and Deploy an Autonomous AI Employee. You will apply the concepts covered throughout the course to create an AI employee with a defined role, responsibilities, operating rules, and practical workflows. You will learn how to configure the agent to handle tasks, use context and memory effectively, interact with tools, and perform selected activities with greater autonomy.

By the end of this course, you will have practical experience securing OpenClaw, deploying it on a VPS, designing an AI workforce, and building an autonomous AI employee. Whether you are exploring AI automation, experimenting with agentic workflows, or looking to expand your technical skills, this course provides a practical foundation for turning AI agent concepts into working solutions.

Enroll today and start building your own secure, AI-powered workforce with OpenClaw!

Who this course is for
⭐ AI enthusiasts, developers, IT professionals, and entrepreneurs who want to secure OpenClaw, deploy AI agents, and build autonomous AI employees.

Download

Post Comment [0]

• views: 129
• date: 17 September 2026
• posted by: 0nelove

Oracle Database Administration 21c: Beginner to Advanced DBA
Published 9/2026
Created by ENTOPDBA Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 25 Lectures ( 8h 9m ) | Size: 5.7 GB

Learn to become an Oracle Database Administrator (DBA) in 8 hours and get a well paid job as a Junior DBA.

What you'll learn
⚡ Install and configure Oracle Database 21c in a practical lab environment
⚡ Understand Oracle Database architecture, memory structures, processes, and storage
⚡ Create and manage tablespaces, datafiles, users, roles, and privileges
⚡ Use SQL, DDL, and DML commands to work with Oracle databases
⚡ Configure Oracle networking and troubleshoot client connectivity
⚡ Perform Oracle RMAN full and incremental backups
⚡ Restore and recover Oracle databases after common failures
⚡ Monitor Oracle databases using OEM, AWR, ADDM, and Linux tools
⚡ Identify common Oracle database performance problems
⚡ Develop practical skills required for entry-level Oracle DBA support
⚡ Use Data Pump EXPDP and IMPDP for database export and import

Requirements
❗ Basic computer knowledge
❗ Basic Linux knowledge is helpful but not required
❗ No previous Oracle DBA experience is required
❗ A willingness to practice in a lab environment

Description

Learn Oracle Database Administration 21c step by step and build the practical skills needed to become a confident Oracle DBA.
If you want to become anOracle Database Administrator (Oracle DBA), this course is designed for you!

This course follows astep-by-step, hands-on approach, combining easy-to-understand concepts with practical demonstrations and real DBA scenarios.

You will start with the fundamentals and gradually progress into Oracle Database architecture, installation, SQL, storage management, security, networking, backup and recovery, monitoring, performance tuning, andSQL query optimization.

Step-by-Step Learning Methodology

✨ Learn database fundamentals and Oracle DBA concepts

✨ Understand Oracle Database architecture, processes, and memory structures

✨ Install and configureOracle Database 21c

✨ Work with SQL, DDL, and DML commands

✨ Manage tablespaces, datafiles, and database storage

✨ Manage users, roles, privileges, and database security

✨ Configure Oracle networking, listeners, and connectivity

✨ Understand Oracle alert logs and database monitoring

✨ PerformRMAN full and incremental backups

✨ Restore and recover databases after failures

✨ Monitor databases usingOEM, AWR, ADDM, and Linux tools

✨ Troubleshoot Oracle database performance problems

✨ LearnSQL Query Optimization and Execution Plans

✨ Understand indexes, statistics, and the Oracle Optimizer

✨ Practice real-world DBA troubleshooting scenarios

✨ UseData Pump EXPDP and IMPDP for database export and import

Whether you are abeginner, IT professional, SQL developer, junior DBA, or someone looking to move into Oracle database administration, this course will give you a strong practical foundation.

Let's start your Oracle DBA journey and learn Oracle Database 21c step by step!

Who this course is for
⭐ Beginners who want to become Oracle DBAs
⭐ IT professionals moving into Oracle database administration
⭐ SQL developers who want to understand Oracle DBA concepts
⭐ Junior Oracle DBAs
⭐ Database support engineers
⭐ System administrators who want to learn Oracle
⭐ Students preparing for practical Oracle DBA work

Download

Post Comment [0]

• views: 133
• date: 17 September 2026
• posted by: 0nelove

Power BI Complete Course: Beginner to Intermediate
Published 9/2026
Created by Deepak Rai
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 22 Lectures ( 1h 59m ) | Size: 1.1 GB

Learn Power BI, Power Query, DAX, Data Modeling, Visualizations, Dashboards & Build 3 Real-World Projects

What you'll learn
⚡ Learn Microsoft Power BI from beginner to intermediate level and build interactive reports and dashboards.
⚡ Connect, clean, transform, and prepare data using Power Query. Build effective data models, relationships, calculated columns, and measures.
⚡ Learn practical DAX for KPIs, calculations, business metrics, and data analysis.
⚡ Create professional data visualizations, interactive reports, filters, slicers, and dashboards.
⚡ Build 3 real-world Power BI projects covering E-commerce, Manufacturing, and Retail analytics.

Requirements
❗ No prior experience with Microsoft Power BI is required. Basic knowledge of computers and working with data is helpful but not mandatory.
❗ Basic Excel knowledge is recommended but not required. No programming or coding experience is required.
❗ A Windows computer with Power BI Desktop installed is recommended for hands-on practice. Learners should be willing to follow along and practice the three real-world projects.

Description
Learn Microsoft Power BI from beginner to intermediate level and build practical skills by working with real-world business scenarios. This course takes you from the fundamentals of Power BI to creating interactive reports, dashboards, metrics, and actionable business insights.

Build Practical Power BI Skills Through Real-World Projects
You will start by understanding the Power BI environment and gradually learn how to connect, clean, transform, model, analyze, and visualize data. The course is designed for hands-on learning, so you will not just learn Power BI features—you will apply them to practical business requirements.

Throughout the course, you will learn

✨ Microsoft Power BI fundamentals and Power BI Desktop

✨ Connecting to different data sources

✨ Data cleaning and transformation usingPower Query

✨ Data modeling and relationships

✨ Introduction toDAX, measures, and calculated columns

✨ Creating charts and interactivePower BI visualizations

✨ Creating tables, matrices, cards, KPIs, and other visuals

✨ Using filters, slicers, Include/Exclude, Spotlight, and Tooltips

✨ Creating Report Page Tooltips

✨ Designing interactive and professional Power BI reports

✨ Creating and analyzing importantbusiness metrics and KPIs

✨ Identifying trends, patterns, performance gaps, and actionable insights

✨ Using Microsoft Teams data to create a Power BI report

✨ Creating and presenting business dashboards

Build 3 Real-World Power BI Projects

The course also includes hands-on projects covering three different business domains

1. E-commerce Analytics Project
Analyze sales, revenue, products, customers, orders, categories, and business performance using Power BI.

2. Manufacturing Analytics Project
Work with manufacturing data to analyze production, performance, operational metrics, and business KPIs.

3. Retail Analytics Project
Analyze retail sales, customers, products, regions, categories, and performance to generate meaningful business insights.

You will follow an end-to-end analytics approach

Business Requirement → Raw Data → Data Cleaning → Data Modeling → DAX & Metrics → Visualization → Interactive Report → Business Insights
This course is suitable for beginners with no prior Power BI experience, as well as Excel users, Business Analysts, Data Analysts, Reporting/MIS professionals, Project Managers, and professionals who want to develop practical Power BI and data analytics skills.

By the end of the course, you will have the knowledge and hands-on experience to create interactivePower BI reports and dashboards, analyze business data, create meaningful metrics, and communicate insights effectively.

Most importantly, you will learn how to move beyond simply creating charts and use Power BI to answer real business questions and supportdata-driven decision-making.

Who this course is for
⭐ Beginners who want to learn Microsoft Power BI from scratch. Professionals who want to develop practical Power BI and Data Analytics skills.
⭐ Data Analysts, Business Analysts, and Reporting/MIS professionals. Excel users who want to move from spreadsheets to interactive Power BI dashboards.
⭐ Project Managers and business professionals who want to analyze data and create meaningful business reports. Learners who know the Power BI basics and want to advance to intermediate-level concepts through real-world projects.
⭐ Anyone who wants hands-on experience building E-commerce, Manufacturing, and Retail analytics projects using Power BI.

Download

Post Comment [0]

• views: 173
• date: 17 September 2026
• posted by: 0nelove

ServiceNow CMDB, CSDM &; Discovery Hands-On
Published 9/2026
Created by Arno Esterhuizen
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 52 Lectures ( 4h 56m ) | Size: 4.3 GB

Master Discovery, Service Graph Connectors, CMDB Health, Data Certification & CSDM 5 with hands-on ServiceNow labs

What you'll learn
⚡ ServiceNow Discovery end to end
⚡ Configure CMDB identification and reconciliation rules to stop duplicate CIs at the source
⚡ Run horizontal Discovery with MID Servers and the Agent Client Collector to populate the CMDB
⚡ Ingest cloud and third-party data using Service Graph Connectors and IntegrationHub
⚡ Govern CI ownership with Data Certification schedules and CI class governance policies
⚡ Measure CMDB Health using the Completeness, Compliance and Correctness KPIs and six metrics
⚡ Build a full business service stack in CSDM 5, from Service Offering to Service Instance
⚡ Manage CI life cycles with Life Cycle Stage fields and Dynamic CI Groups
⚡ Map every CIS-DF exam domain to hands-on tasks so you walk into the exam ready

Requirements
❗ Basic ServiceNow navigation skills (you can open a table, filter a list, and edit a record)
❗ A free ServiceNow Personal Developer Instance. Section 1 shows you how to request one and activate the plugins used in the course
❗ Familiarity with ITIL or ITSM concepts such as incidents, changes, and services is helpful but not required
❗ No Discovery, ITOM, or scripting experience needed. Every technical step is demonstrated on screen

Description
Your ServiceNow CMDB has thousands of CIs, and nobody trusts a single one of them. Duplicates, orphans, stale records, relationships that point nowhere. Every change goes through CAB with a "we think this is what it touches." That is the gap the CIS-DF Data Foundations certification was built to close, and it is the gap this course teaches you to fix.

This is not a slide-reading course. You work as the external CMDB specialist NovaTech Energy brought in to rebuild its data foundation, alongside Chris Harris, their senior Configuration Manager. Every configuration you make, every Discovery run, every certification schedule, solves a problem NovaTech is actually facing.

What You'll Learn
✨ Configure identification and reconciliation rules so duplicate and conflicting CI data never reaches the CMDB

✨ Run horizontal Discovery with MID Servers and the Agent Client Collector, and know exactly when Service Mapping takes over

✨ Ingest cloud and third-party data through Service Graph Connectors and IntegrationHub ETL, including a live Azure Discovery run

✨ Govern CI ownership with Data Certification schedules, CI class governance, and CSDM Life Cycle Stage fields

✨ Measure and improve CMDB Health using the Completeness, Compliance, and Correctness KPIs and the six metrics behind them

✨ Build a complete business service stack in CSDM 5, from Service Offering down to Service Instance and Dynamic CI Groups

Who this course is for
⭐ ServiceNow administrators and CMDB analysts preparing for the CIS-DF Data Foundations certification
⭐ ITSM and ITOM practitioners responsible for a CMDB they did not build and need to clean up, govern, and report on
⭐ Configuration Managers, process owners, and ServiceNow consultants who need working knowledge of Discovery, Service Graph Connectors, Data Certification, and CSDM 5
⭐ This course is not for learners with no ServiceNow exposure at all, and it is not a Service Mapping or Discovery pattern-development deep dive. If you want to write custom Discovery patterns, that is a separate path

Download

Post Comment [0]

• views: 192
• date: 17 September 2026
• posted by: 0nelove

Splunk for Cybersecurity: Master SIEM and Log Analysis
Published 9/2026
Created by Rob Cyber
MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 44 Lectures ( 6h 39m ) | Size: 8.4 GB

Master Splunk queries, analyze security logs, build dashboards, and prepare for your first Cybersecurity Analyst role.

What you'll learn
⚡ Use Splunk to investigate cybersecurity events, analyze logs, and identify suspicious activity across Windows, cloud, network, and email data.
⚡ Master essential Splunk commands and search techniques used by SOC Analysts to filter data, find patterns, and support security investigations.
⚡ Build and analyze Splunk security dashboards that organize important events and help analysts quickly understand security activity.
⚡ Prepare for SOC and Cybersecurity Analyst interviews by learning how to explain Splunk investigations and answer common Splunk questions correctly.

Requirements
❗ No previous Splunk experience is required. This course is designed for beginners who want to build practical Splunk and SOC Analyst skills.
❗ Windows PC or Laptop with at least 8GB of RAM (16GB is recommended)
❗ You will need to install Virtual Box on your PC or Laptop. (Rob Cyber will give you a tutorial)
❗ Windows PC or Laptop is preferred
❗ Older Apple computers with INTEL CHIP (Before 2020) will work with the Splunk Virutal Machine
❗ WILL NOT WORK: New Apple M series (M1/M2/M3/M4/M5) will NOT work with Splunk Virtual Machine. Do Not Enroll

Description
Splunk is one of the most important tools for aspiring SOC and Cybersecurity Analysts, but knowing the name of the platform is not enough. Hiring managers want to know whether you understandhow Splunk is actually used to investigate security events, analyze logs, and support incident response.

This course is designed to help you build that practical knowledge so you can speak about Splunk with confidence during cybersecurity interviews and answer Splunk-related questions correctly when speaking with recruiters and hiring managers.

What You Will Learn

✨ Understand howSplunk is used inside a Security Operations Center.

✨ Analyze security data fromWindows, AWS, Microsoft Entra ID, Cisco firewalls, networks, and email systems.

✨ Identify important Splunkfields, events, and data sources during a cybersecurity investigation.

✨ Use essential Splunk commands includingTOP, TABLE, DEDUP, SORT, STATS, RARE, RENAME, AND, and NOT.

✨ Investigate web activity usingHTTP status codes and Splunk search queries.

✨ Build and understandSplunk security dashboards used to organize and visualize security activity.

✨ Work throughreal-world Splunk queries that reflect the types of searches a Cybersecurity Analyst may perform.

Build Skills You Can Talk About in the Interview

One of the biggest problems aspiring analysts face is learning cybersecurity tools but struggling to explain how they would actually use them on the job.

This course helps you move beyond definitions.

Instead of only knowing that Splunk is a SIEM, you will understand how an analyst can use Splunk to search Windows events, review cloud activity, investigate authentication logs, analyze firewall traffic, examine network data, and identify unusual behavior.

That gives you stronger examples to use when a hiring manager asks

How would you investigate an alert in Splunk?

What Splunk commands have you used?

What types of logs can Splunk analyze?

How would you search for suspicious activity?

How have you used dashboards during an investigation?
Prepare for SOC and Cybersecurity Analyst Opportunities

Without practical Splunk knowledge, it can be difficult to answer technical interview questions beyond basic definitions.

This course is designed to help you understandwhat to search, what the data means, and how Splunk supports a cybersecurity investigation so you can give stronger answers during the interview process.

The goal is to help you walk into your nextSOC Analyst or Cybersecurity Analyst interview with practical Splunk knowledge you can explain clearly, answer technical questions with greater confidence, and show the hiring manager that you understand how Splunk is used in a real security environment.

Who Is This Course For?
This course is designed for

✨ Aspiring SOC Analysts

✨ Aspiring Cybersecurity Analysts

✨ Entry-Level Cybersecurity Professionals

✨ IT Professionals transitioning into cybersecurity

✨ Help Desk and Technical Support Professionals

✨ Network and Systems Administrators

✨ Students preparing for cybersecurity careers

✨ Anyone who wants to add Splunk to their cybersecurity skill set

Important System Requirement
This course requires aWindows PC to run the provided Splunk Virtual Machine. The Splunk Virtual Machine isNOT compatible with newer Apple Mac computers using M-series Apple Silicon chips (M1, M2, M3, M4, etc.).

Certification Support: This is not an official certification exam-prep course. However, the training can help you build practical Splunk skills relevant to theSplunk Core Certified User certification and strengthen your understanding of SIEM, log analysis, threat detection, and security monitoring concepts covered inCompTIA Security+ andCompTIA CySA+.

Who this course is for
⭐ Entry-level IT and cybersecurity students who want to learn Splunk log analysis for cybersecurity and improve their chances of getting a job offer.

Download

Post Comment [0]

• views: 175
• date: 16 September 2026
• posted by: 0nelove

Horizontal Pod Autoscaling in Kubernetes
Released 9/2026
By Travis Thomsen
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 11m 54s | Size: 287.5 MB

Managing Kubernetes workloads with static pod counts leads to wasted resources during lulls and performance degradation during peak traffic.

Managing Kubernetes workloads with static pod counts leads to wasted resources during lulls and performance degradation during peak traffic.
In this course, Horizontal Pod Autoscaling in Kubernetes, you'll gain the ability to create an HPA and add it to your deployment as well as understand how it works. First, you'll explore how HPAs work and the mechanics behind scaling out your pods. Next, you'll discover the behavior of scaling up and scaling down pods in your deployment. Finally, you'll learn how to troubleshoot common issues with your HPA. When you're finished with this course, you'll have the skills and knowledge to be able to create an HPA for your deployment and know what you will need to understand how an HPA will scale your pods.

Download

Post Comment [0]

• views: 117
• date: 16 September 2026
• posted by: 0nelove

Nonlinear Regression Models
Released 9/2026
By Nicolae Caprarescu
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 6m 52s | Size: 184.8 MB

Relationships in business and operational data do not always follow a straight line, and choosing too little or too much flexibility can weaken a regression analysis.

Relationships in business and operational data do not always follow a straight line, and choosing too little or too much flexibility can weaken a regression analysis. In this course, Nonlinear Regression Models, you'll gain the ability to recognize nonlinear structure and select regression approaches that represent it clearly. First, you'll explore visual and statistical signals of nonlinearity through an analysis of the estimated cost of generating electricity at potential offshore wind power plant sites. Next, you'll discover how predictor expansion, interactions, and polynomial regression capture complex relationships, and how cross-validation supports degree selection. Finally, you'll learn how extrapolation affects interpretation and how splines and generalized additive models represent flexible relationships. When you're finished with this course, you'll have the skills and knowledge of nonlinear regression modeling needed to choose, evaluate, and interpret models for workplace data

Download

Post Comment [0]

• views: 176
• date: 16 September 2026
• posted by: 0nelove

OWASP MCP Top 10: Model Context Protocol AI Security Pro
Published 9/2026
Created by ACHRAF ER-RAYA
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 34m ) | Size: 1.1 GB

Master the OWASP MCP Top 10 — find, exploit, and fix Model Context Protocol vulnerabilities before attackers do.

What you'll learn
⚡ Identify and defend against the OWASP MCP Top 10 vulnerabilities in enterprise Model Context Protocol and AI agent architectures.(126 characters)
⚡ Sanitize inputs and prevent Indirect Prompt Injections from tricking LLMs into executing malicious downstream tool calls.
⚡ Implement production-ready Python wrappers to enforce authorization, schema validation, and Human-in-the-Loop controls.
⚡ Audit, threat-model, and penetration-test local and remote MCP server integrations against Tool Poisoning attacks.

Requirements
❗ Basic familiarity with Python, JSON, and general API security concepts. No prior AI security experience required.

Description

This course contains the use of artificial intelligence.

Every AI agent you connect to a tool, file system, or API through MCP is a new door into your infrastructure — and most teams haven't locked it yet.

Who this course is for
⭐ AppSec engineers, software developers, and system architects building or securing enterprise AI models, tools, and MCP integrations.

Download

Post Comment [0]

• views: 137
• date: 16 September 2026
• posted by: 0nelove

Enterprise Architecture Decisions & Future-Ready Design 2026
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 31m | Size: 6.5 GB

Master architecture trade-offs, decision frameworks, AI governance, data products, observability, and future-ready enter

What you'll learn
Evaluate enterprise architecture trade-offs and make practical, defendable decisions.
Apply decision frameworks when requirements, constraints, and information are incomplete.
Identify architecture anti-patterns and avoid overengineering in enterprise solutions.
Compare build vs buy vs managed services and evaluate vendor lock-in strategically.
Design future-ready architectures using data products, contracts, observability, metadata, and knowledge layers.
Apply AI governance, Agentic AI security, LLMOps, AgentOps, privacy, and compliance principles.
Design self-service data platforms using platform engineering and governed delivery patterns.
Communicate architecture recommendations clearly to executives and stakeholders.

Requirements
Basic understanding of data, BI, cloud, or enterprise systems is helpful but not mandatory.
No programming experience is required.
No specific cloud platform or BI tool is required.
Prior exposure to solution architecture, data architecture, BI architecture, or cloud architecture will help learners get more value from the course.
Learners should have an interest in moving toward senior architect or enterprise architect responsibilities.

Description
Phase 5 brings the entire Enterprise Architecture Series together.
Enterprise architecture is not just about choosing technologies. It is about making the right decisions when business priorities, requirements, budgets, risks, and technologies are constantly changing.

In this course, you will learn how enterprise architects evaluate trade-offs, work with incomplete information, avoid common anti-patterns, balance practical design with overengineering, and decide between build, buy, and managed-service options.

You will also learn how to evaluate vendor lock-in, document architecture decisions, communicate effectively with executives, and develop the broader skills required to become an enterprise architect.

The second half of the course focuses on the next generation of enterprise architecture for 2026–2027. You will explore data products, data contracts, data observability, active metadata, catalogs, lineage, knowledge layers, AI governance, agentic AI security, LLMOps, AgentOps, privacy, data sovereignty, clean rooms, partner analytics, self-service data platforms, and platform engineering.

Finally, we bring everything together through a complete enterprise architecture master scenario and a future-ready architecture blueprint.

By the end of this course, you will be able to evaluate complex architecture scenarios, communicate your decisions clearly, and design enterprise platforms that are practical, governed, scalable, AI-ready, and aligned with business goals
This course used AI to create some of the content

Who this course is for
Solution Architects who want to grow into Enterprise Architect roles.
Data Architects, BI Architects, Cloud Architects, and AI Architects who want a broader enterprise perspective.
Technical Leads, Senior Developers, and Engineers involved in architecture decisions.
Consultants who need to design and communicate enterprise-scale solutions to clients.
Data and BI professionals moving toward architecture and leadership roles.
Architects who want to understand modern topics such as data products, observability, Agentic AI, AI governance, and platform engineering.
Technology leaders who need to evaluate architecture choices based on business value, risk, cost, and long-term sustainability.

Download

Post Comment [0]

• views: 209
• date: 16 September 2026
• posted by: 0nelove

Kali Linux & Shell Scripting: Learn Linux for Cybersecurity
Published 9/2026
Created by SOCProfessionals Leading SOC & IR trainings
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 51 Lectures ( 7h 48m ) | Size: 4.1 GB

Learn Kali Linux, Linux commands, Bash scripting, security tools, automation, and practical command-lines from scratch

What you'll learn
⚡ Master essential Kali Linux commands for navigating, managing files, users, processes, permissions, networking, and system administration.
⚡ Learn shell scripting from the fundamentals and create practical Bash scripts to automate repetitive Linux administration and security tasks.
⚡ Work confidently with Linux files, directories, permissions, processes, environment variables, pipes, redirection, grep, awk, sed, and other powerful commands.
⚡ Build real-world automation scripts using variables, conditions, loops, functions, command-line arguments, and error handling in Bash.

Requirements
❗ No prior Kali Linux or shell scripting experience is required. Basic computer knowledge is helpful, and learners should have access to a computer where Kali Linux can be installed or run in a virtual machine.

Description

Kali Linux & Shell Scripting: Master Ethical Hacking Automation
Take your Linux and cybersecurity skills to the next level with this practicalKali Linux and Shell Scripting course.

This course is designed for beginners and aspiring cybersecurity professionals who want to understand theLinux command line, Kali Linux, security tools, and shell scripting through practical, easy-to-follow lessons.

With51 carefully structured videos, you will learn essential Linux commands, explore commonly used security tools available in Kali Linux, and build a strong foundation in shell scripting and automation.

What You'll Learn

✨33 Essential Linux Commands
Master the most important Linux commands used for file management, navigation, permissions, processes, networking, system administration, and everyday command-line tasks.

✨8 Kali Linux Security Tools
Get introduced to practical security tools available in Kali Linux and understand their purpose, basic usage, and role in cybersecurity workflows.

✨Shell Scripting & Automation
Learn how to create and execute shell scripts, work with variables, conditions, loops, functions, command-line arguments, and other scripting concepts to automate repetitive tasks.

Course Highlights

✨ 51 practical video lessons

✨ 33 essential Linux commands

✨ 8 Kali Linux security tools

✨ Hands-on shell scripting

✨ Linux command-line fundamentals

✨ Bash/Shell automation concepts

✨ Practical cybersecurity-oriented examples

✨ Beginner-friendly explanations

✨ Learn by practicing in Kali Linux

Who Is This Course For?

This course is ideal for

✨ Beginners learning Linux and Kali Linux

✨ Students interested in cybersecurity and ethical hacking

✨ Aspiring penetration testers

✨ System and network administrators

✨ IT professionals who want to improve their Linux skills

✨ Anyone interested in Shell/Bash scripting and automation

By the End of This Course

You will have a solid foundation inKali Linux, essential Linux commands, cybersecurity tools, and shell scripting. You will be able to confidently work with the Linux command line and start creating scripts to automate common tasks.

Start your journey into Kali Linux, Shell Scripting, and cybersecurity today!

Who this course is for
⭐ This course is designed for beginners and IT professionals who want to learn Kali Linux commands and Bash shell scripting from the ground up. It is ideal for aspiring cybersecurity professionals, Linux administrators, DevOps engineers, system administrators, penetration testing beginners, and anyone who wants to automate tasks using shell scripts.

Download

Post Comment [0]

• views: 155
• date: 16 September 2026
• posted by: 0nelove

LangChain with TypeScript: Build AI Apps, RAG & Agents
Published 9/2026
Created by Haider Malik
MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 135 Lectures ( 6h 33m ) | Size: 4.8 GB

Learn LangChain.js, RAG, Tools, Agents, and LangGraph by building real-world AI applications with TypeScript

What you'll learn
⚡ Build AI applications with LangChain.js and TypeScript using modern LLM development patterns.
⚡ Build Retrieval-Augmented Generation (RAG) applications using embeddings, vector stores, and retrievers.
⚡ Build AI agents that use tools and understand how tools, agents, and workflows work together.
⚡ Build advanced agentic workflows with LangGraph and understand how it fits into the LangChain ecosystem.

Requirements
❗ Basic jаvascript or TypeScript programming knowledge. Familiarity with Node.js and npm is recommended. You should have a computer with internet access. No prior LangChain, RAG, or AI agent experience is required.

Description
Build real-world AI applications withLangChain.js, TypeScript, RAG, Tools, Agents, and LangGraph.

In this course, you'll learn how to use LangChain with TypeScript to build modern AI applications step by step. Instead of jumping directly into complex agents, you'll build a strong foundation and gradually move toward more advanced AI application patterns.

You'll start by understanding the core concepts of LangChain and then progress through prompts, output parsers, embeddings, memory, vector stores, retrievers, and RAG. From there, you'll learn how tools work, how agents use tools, and how LangGraph can be used to build more advanced agentic workflows.

What you'll learn

✨ Build AI applications usingLangChain.js and TypeScript

✨ Understand LangChain's core building blocks and how they fit together

✨ Work with prompts and prompt templates

✨ Parse and structure model outputs

✨ Understand embeddings and how they are used in AI applications

✨ Work with vector stores and similarity search

✨ Build retrieval-augmented generation (RAG) applications

✨ Understand retrievers and how they work with RAG

✨ Give AI applications access to external tools and functions

✨ Understand the difference between tools, agents, and workflows

✨ Build AI agents using LangChain

✨ Understand how LangGraph fits into modern AI application development

✨ Build practical AI applications instead of only learning isolated concepts

A practical, step-by-step approach

Many AI tutorials jump straight into building an agent without explaining the concepts underneath it. This course takes a different approach.

You'll progressively build your knowledge

LangChain fundamentals → Prompts → Output Parsers → Embeddings → Vector Stores → Retrievers → RAG → Tools → Agents → LangGraph
This progression helps you understand not onlyhow to use LangChain, but alsowhy these different components exist and when you should use them.

Who is this course for?

This course is for developers who want to build AI-powered applications usingTypeScript and jаvascript.

It's a good fit if you're a

✨ TypeScript or jаvascript developer

✨ Node.js developer

✨ Full-stack developer

✨ Developer interested in LLM applications

✨ Developer who wants to learn RAG and AI agents

✨ Developer who wants to use LangChain.js rather than learning only Python-based examples

You don't need to become an AI researcher to follow this course. The focus is on understanding the concepts and applying them to real software development.

What you'll build

Throughout the course, you'll work with practical examples and progressively combine the concepts you've learned to build AI application functionality.

By the end of the course, you'll have a much clearer understanding of how the pieces of a modern LLM application fit together—from calling models and structuring outputs to retrieval, RAG, tools, agents, and graph-based workflows.

If you're a TypeScript developer who wants to move beyond basic LLM API calls and learn how to build more capable AI applications withLangChain.js, this course is for you.

Who this course is for
⭐ jаvascript and TypeScript developers who want to build AI-powered applications with LangChain.js. Ideal for Node.js and full-stack developers interested in RAG, AI agents, tools, and LangGraph.

Download

Post Comment [0]

• views: 143
• date: 16 September 2026
• posted by: 0nelove

HSK 3 Chinese Course (3.0) |Course for Intermediate Learners
Published 9/2026
Created by Joanna Li
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 36 Lectures ( 15h 49m ) | Size: 15.8 GB

HSK 3 Chinese Course (3.0)

What you'll learn
⚡ Understand and use essential HSK 3 vocabulary and grammar in everyday Chinese conversations.
⚡ Communicate more confidently in common situations, such as shopping, traveling, making plans, discussing daily routines, and expressing opinions.
⚡ Understand the main ideas and important details in HSK 3-level conversations, short texts, and everyday Chinese messages.
⚡ Construct longer and more natural Chinese sentences using key HSK 3 grammar patterns and sentence structures.

Requirements
❗ Basic knowledge of Mandarin Chinese is recommended.
❗ Learners should have a basic understanding of Mandarin Chinese, approximately at the HSK 2 level.

Description

Take your Mandarin Chinese to the next level with HSK 3.0!
Welcome to theHSK 3 Chinese Course (3.0) | Learn Mandarin Step by Step.

This course is designed for learners who have a basic foundation in Mandarin and are ready to move beyond beginner-level Chinese. Through structured, step-by-step lessons, you will build your vocabulary, strengthen your grammar, improve your listening and speaking skills, and become more confident using Chinese in everyday situations.

In this course, you will learn essential HSK 3 vocabulary and grammar through practical examples and useful conversations. You will practice how to describe experiences, express opinions, make plans, give suggestions, explain reasons, make comparisons, and communicate naturally in a variety of real-life situations.

What you will learn

✨ Essential HSK 3 vocabulary and useful everyday expressions

✨ Key HSK 3 grammar patterns and sentence structures

✨ Listening and speaking skills for everyday Chinese communication

✨ Reading and understanding HSK 3-level texts and conversations

✨ Practical ways to express ideas, experiences, opinions, and plans in Chinese

✨ More natural and confident Mandarin communication

Whether you are preparing for theHSK 3 exam or simply want to improve your practical Chinese, this course will help you develop a stronger and more complete Mandarin foundation.

Learn step by step, practice with confidence, and make your Chinese more natural!

Who this course is for
⭐ Learners who have completed HSK 1 and HSK 2 and want to continue developing their Mandarin Chinese skills.

Download

Post Comment [0]

• views: 248
• date: 16 September 2026
• posted by: 0nelove

AWS Serverless Compute Operations
Released 9/2026
By Arpad Toth
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 27m 43s | Size: 249.1 MB

Event-driven workloads depend on AWS Lambda functions that trigger correctly, are observable, and can recover when they degrade.

Event-driven workloads depend on AWS Lambda functions that trigger correctly, are observable, and can recover when they degrade. In this course, AWS Serverless Compute Operations, you'll gain the ability to implement, operate, and recover event-driven AWS Lambda functions and to judge when Lambda is the right compute choice. First, you'll explore when Lambda fits a workload and when it doesn't, and then create a function and configure its runtime, identity, and resource settings to match the workload. Next, you'll discover how to connect functions to synchronous, asynchronous, and poll-based event sources and verify each trigger produces a successful invocation end to end. Finally, you'll learn how to interpret invocation logs and metrics, distinguish cold starts from warm invocations, diagnose and recover throttled and failed invocations, and diagnose invocation-time permission errors. When you're finished with this course, you'll have the skills and knowledge of event-driven Lambda implementation, operation, and recovery needed to build and maintain production-grade serverless workloads on AWS.

Download

Post Comment [0]

• views: 209
• date: 16 September 2026
• posted by: 0nelove

AWS Certified Security - Specialty (SCS-C03): Incident Response
Released 9/2026
By Michael Brown
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 14m 31s | Size: 369.1 MB

When a security incident occurs, you may find yourself either wishing you had more information on hand or, just as bad, weighed down with information and not knowing where to find it.

When a security incident occurs, you may find yourself either wishing you had more information on hand or, just as bad, weighed down with information and not knowing where to find it. In this course, AWS Certified Security - Specialty (SCS-C03): Incident Response, you'll gain the ability to use AWS services to prepare for an incident, so you can gather relevant information and know how to use it. First, you'll explore the AWS services needed to create an incident response plan. Next, you'll discover how to work with AWS services to implement alerting and notifications to prepare and automatically respond to an incident. Finally, you'll learn how to perform root cause analysis and how to recover from an incident. When you're finished with this course, you'll have the skills and knowledge of incident response needed to be a productive member of an incident response team and the knowledge needed to attempt the incident response questions on the AWS Certified Security - Specialty (SCS-C03) exam.

Download

Post Comment [0]

• views: 196
• date: 16 September 2026
• posted by: 0nelove

File Systems Explained: FAT32, NTFS, EXT and APFS
Published 9/2026
Created by Mustafa Mowafek
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 28 Lectures ( 5h 17m ) | Size: 2.3 GB

Read a disk at byte level: hex editor, boot sector, Master File Table and recovering deleted files

What you'll learn
⚡ Distinguish sectors, clusters, allocated and unallocated space, and slack space
⚡ Work with a hex editor and convert values between hexadecimal, decimal and binary
⚡ Tell little endian from big endian and interpret byte sequences correctly
⚡ Use offset tables to locate specific structures inside a disk image
⚡ Analyze MBR and GPT partitioning and explain the forensic differences
⚡ Take FAT32 apart: boot sector, FAT region, directory entries and data region
⚡ Read the NTFS Master File Table and analyze the most important MFT attributes
⚡ Distinguish resident from non-resident data and detect alternate data streams
⚡ Explain what happens on deletion and recover deleted files
⚡ Classify the structures of exFAT, EXT and APFS, including inodes and APFS snapshots

Requirements
❗ Basic computer skills, some familiarity with file systems is helpful
❗ No prior knowledge of hexadecimal required, it is taught in the course
❗ Recommended for hands-on practice: a free hex editor and a sample disk image

Description
This course contains the use of artificial intelligence.

All content was researched, written and structured by human forensic practitioners. AI is used for the narration voice and for parts of the course graphics

When a file is deleted, the data does not disappear. Only the pointer to it does.
Understand that, and you can recover deleted files. Miss it, and you are relying on a tool you cannot explain in court. This course goes one level deeper than any analysis software: down to the bytes themselves.

Foundations. First the vocabulary: allocated and unallocated space, sectors, clusters and blocks. Then a detail that decides many cases, slack space, where fragments of older files survive.

The hex editor. The central tool. Converting between hexadecimal, decimal and binary, little endian versus big endian, and why byte order decides between right and wrong. Then the practice: the layout of a hex view, working with offset tables, locating sub-offsets and interpreting the values you extract.

Partitioning. MBR on classic BIOS systems, GPT on modern EFI systems, and the differences that matter forensically.

The FAT family. FAT12, FAT16 and FAT32 taken apart completely: boot sector and reserved region, the FAT region with its cluster chain, root directory and the layout of a directory entry, long file names under VFAT, and the data region. Then the decisive question: what happens on deletion and how to get the file back. Plus exFAT with its own boot sector and cluster heap.

NTFS. The centerpiece: the Master File Table. Its fixed layout and fixed records, MFT records and their attributes in detail, including STANDARD INFORMATION with its timestamps, FILE NAME, and DATA with the difference between resident and non-resident content and the virtual cluster number. Plus alternate data streams, which can hide entire files, and how storing, deleting and recovering works on NTFS.

EXT and APFS. Linux with superblock, block groups and inodes. Apple with the APFS container concept and the features that matter for analysis: snapshots, clones and encryption.

After this course you no longer read a disk through a tool. You understand what the tool is showing you, and you notice when it is wrong.

What is primarily taught in your course?
The forensic analysis of file systems at byte level: working with a hex editor, offset tables and endianness, partitioning with MBR and GPT, and the complete structure of FAT12, FAT16, FAT32, exFAT, NTFS, EXT and APFS, including boot sector, Master File Table, MFT attributes, slack space, and what actually happens when a file is deleted.

Who this course is for
⭐ Digital forensic examiners who want to understand what their tools do under the hood
⭐ Investigators who need to explain and verify recovered data themselves
⭐ Incident response teams and administrators interested in data recovery
⭐ Students of information security and computer science

Download

Post Comment [0]

• views: 228
• date: 16 September 2026
• posted by: 0nelove

Create a 2D Space Shooter in Unity: From Beginner to Creator
Published 9/2026
Created by Giorgi Luarsabishvili
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 22 Lectures ( 4h 37m ) | Size: 2.9 GB

Unity 2D Fundamentals: From Zero to Space Shooter Hero

What you'll learn
⚡ Navigate Unity & C#: Master the Unity Editor interface and write foundational C# scripts to control game objects and mechanics.
⚡ Build Core Gameplay Loops: Program player movement, shooting systems, dynamic enemy waves, and interactive obstacles.
⚡ Implement Power-Ups: Code rewarding gameplay modifiers like health bonuses and temporary immortality shields.
⚡ Design UI and Audio: Create polished main menus, HUD overlays, pause screens, and integrate immersive sound effects.

Requirements
❗ No prior coding or Unity experience: Absolute beginners are welcome. We teach everything from scratch.
❗ A computer: A PC or Mac (Windows, macOS, or Linux) capable of running the Unity Editor.
❗ Unity Hub & Unity Editor: Free software downloads

Description
Are you ready to turn your passion for gaming into real-world skills? If you have ever wanted to create your own video games but didn't know where to start,Unity 2D Fundamentals: Build Your First Space Shooter is the ultimate beginner-friendly launchpad for your game development journey.

Designed specifically for absolute beginners withno prior coding or Unity experience required, this comprehensive course takes you by the hand and guides you step-by-step through the entire process of building a polished, fully functional 2D arcade space shooter from scratch.

Throughout this hands-on learning adventure, you won't just watch theory—you will code, design, and ship a complete game. You will master the essentials of the Unity engine, C# scripting, and game design principles by implementing core gameplay mechanics that every great game needs

✨Player Mechanics & Controls: Program smooth player movement, boundary clamping, and responsive shooting mechanics.

✨Enemies & Obstacles: Code diverse enemy behaviors and floating obstacles that challenge the player and keep the gameplay engaging.

✨Power-Ups & Bonuses: Implement rewarding mechanics including health bonuses and temporary immortality shields to add depth and strategy.

✨User Interface & Menus: Design professional start menus, pause screens, game-over states, and real-time score/health HUDs.

✨Audio & Atmosphere: Elevate your game's polish by integrating immersive background music, laser sound effects, and explosive audio cues.

By the end of this course, you will not only have a complete, playable space shooter ready to share with friends, family, or your portfolio, but you will also have the foundational confidence to tackle your own game ideas in Unity.

Take the first step toward becoming a game developer. Enroll today and start building your gaming universe!

Who this course is for
⭐ Absolute Beginners: Aspiring game developers with zero prior coding or game design experience.
⭐ Hobbyists & Creatives: Anyone who wants to understand how video games are made by building a fun, classic arcade game from scratch.
⭐ Indie Game Aspirants: Creators looking for a solid foundational project to kickstart their Unity and C# learning journey.
⭐ Students & Tinkering Programmers: Learners wanting a hands-on, practical introduction to game loops, UI, and audio integration without getting bogged down in heavy math.

Download

Post Comment [0]

• views: 206
• date: 16 September 2026
• posted by: 0nelove

Claude Code for Windows: Build Real Apps with Vibe Coding
Published 9/2026
Created by Being Commerce
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 33 Lectures ( 5h 45m ) | Size: 5.8 GB

Learn claude code windows setup and windows vibe coding to build real apps, games, and websites - no coding skills!

What you'll learn
⚡ Install, set up, and configure claude code windows from scratch
⚡ Understand vibe coding and how to guide AI to write real code
⚡ Build apps using HTML, CSS, and jаvascript
⚡ Set up Claude Code with VS Code and other IDEs on Windows
⚡ Build backend systems using Python and Django
⚡ Work with databases and Django ORM
⚡ Build a game using AI-assisted modularity
⚡ Set up Python packages and virtual environments
⚡ Scrape and analyze real websites
⚡ Connect to and build projects using real APIs
⚡ Add user interfaces, error pages, and authentication systems
⚡ Add token and billing systems to an app
⚡ Publish a finished app live using GitHub and Railway

Requirements
❗ A Windows computer with internet access
❗ No prior coding experience needed
❗ Willingness to build, not just watch

Description
You already have Claude Code for Windows on your screen. What you don't have yet is the skill to turn it into real, working apps. That gap is what this course closes.

This is a full claude code for windows course built for people who want to create actual software — websites, games, APIs, and full backend systems — using AI as the coder. You don't need a computer science degree. You don't need years of practice. You need a clear path, and that is exactly what this course gives you.

We start from zero. You will install and set up claude code windows on your machine, connect it with Python and VS Code, and understand exactly how windows claude code works before touching a single real project. From there, every section adds a new real skill: HTML, CSS, and jаvascript apps, backend work with Python and Django, database handling, web scraping, working with real APIs, building user login systems, adding token and billing systems, and finally publishing your app live on the internet.

Here is the problem most beginners face: they watch tutorials, copy code, and still cannot build anything on their own. This course fixes that by teaching you windows vibe coding — a way of building software where you describe what you want and guide the AI to write, fix, and improve the code with you. You stay in control. You understand what is happening. You are not just copying — you are building.

If you skip this course, you will keep depending on other people to build your ideas, or you will keep getting stuck at the same wall every beginner hits — knowing what to do in theory, but freezing when it is time to actually build. Every section here removes one more reason to stay stuck.

By the time you finish, you will have shipped multiple real projects: a working website, a game, a scraping tool, an API-based project, and a full app with login, billing, and a live database — deployed and published for anyone to use. This is not a course about watching. This is a course about building.

Whether you are a complete beginner, a small business owner who wants to build your own tools, or someone curious about claude for windows and what it can actually do, this course gives you a direct, practical path from zero to a published app.

Enroll now and start building with claude code for windows today.

Who this course is for
⭐ Beginners who want to build real apps without learning to code the hard way
⭐ Small business owners who want to build their own tools
⭐ Students who want a practical, project-based way to learn software building
⭐ Freelancers who want to offer app-building services using AI
⭐ Anyone curious about claude for windows and what it can really do
⭐ People who tried coding before and quit, and want a simpler way back in

Download

Post Comment [0]

• views: 167
• date: 16 September 2026
• posted by: 0nelove

AI Red Teaming: Test, Evaluate & Improve AI Systems
Published 9/2026
Created by Marina Langer
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 17 Lectures ( 2h 11m ) | Size: 1.1 GB

Learn AI red teaming, identify AI failures, test model behavior, assess risks, and report findings professionally.

What you'll learn
⚡ Identify and analyze common AI failure modes, including hallucinations, reasoning errors, and instruction-following failures.
⚡ Design practical red-team tests and challenging prompts to evaluate AI system behavior and reliability.
⚡ Evaluate AI responses using structured rubrics, evidence, severity levels, and risk-based scoring. Поле 4
⚡ Document AI failures and create clear, professional red-team findings with actionable recommendations.

Requirements
❗ No programming or advanced technical knowledge is required. Basic computer skills and an interest in AI are sufficient.

Description
This course contains the use of artificial intelligence.

Course Description

This course provides a practical introduction toAI Red Teaming — the systematic process of testing AI systems, identifying weaknesses, evaluating failures, and documenting findings.

You will learn how to examine AI-generated responses beyond surface-level quality and identify problems that may remain hidden behind confident or polished language.

Throughout the course, you will explore important AI failure modes includinghallucinations, factual errors, instruction-following failures, reasoning problems, bias, unsafe responses, and hidden omissions.

You will also learn how professional red teamers design effective test prompts, use adversarial testing techniques, compare AI responses, assess the severity and potential impact of failures, and document findings in a clear and evidence-based red team report.

The course includes practical examples and structured exercises designed to help you develop a systematic approach to AI evaluation and red teaming.

By the end of the course, you will understand how to

✨ Design purposeful red team tests rather than rely on random prompting

✨ Identify obvious and hidden failures in AI-generated responses

✨ Test instruction following, reasoning, factuality, bias, and safety

✨ Compare multiple AI responses objectively

✨ Assess failure severity and potential impact

✨ Document evidence and create professional red team reports

✨ Apply a structured red teaming workflow to realistic AI scenarios

No previous AI red teaming experience is required. The course is designed to be accessible to beginners while introducing methods that reflect real AI evaluation and testing workflows.

AI Transparency Notice
This course was developed and directed byMarina Langer with the assistance of generative AI tools. AI technology was used to support the creation of selected educational materials, visuals, narration, and video content. The course structure, learning objectives, topic selection, instructional direction, review, and final editorial decisions were overseen by the instructor.

The goal is not simply to find mistakes in AI systems, but to understand their behavior throughsystematic, objective, and evidence-based testing.

Test systematically. Judge objectively. Document with evidence.

Who this course is for
⭐ Beginners who want to develop practical skills in AI evaluation, testing, and red teaming.
⭐ AI Evaluators, data annotators, QA professionals, and aspiring AI safety specialists who want to expand their skills.
⭐ Professionals and career changers interested in testing AI systems and building practical AI evaluation portfolio projects.

Download

Post Comment [0]

• views: 146
• date: 14 September 2026
• posted by: 0nelove

Strategic Narrative & Storytelling for Leaders
Published 9/2026
Created by Zubin Rashid (Learning and Development Academy)
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 17 Lectures ( 1h 19m ) | Size: 615.9 MB

Leadership storytelling: build narrative structure, pick your protagonist, use metrics, and deliver with confidence.

What you'll learn
⚡ Explain why narrative drives alignment, trust, and decision-making speed more effectively than information alone
⚡ Apply the three-part narrative structure (context, conflict, resolution) to any real strategic priority
⚡ Choose the right protagonist for a narrative, organization, team, or customer, based on the audience and purpose
⚡ Reverse-engineer an existing decision or strategic priority into a clear, honest narrative
⚡ Select a metric that supports a narrative honestly, including what it cost to achieve
⚡ Compress a full narrative into a single, repeatable sentence using the tension-so-pivot formula
⚡ Expand a one-sentence narrative for different audiences and formats without changing its underlying shape
⚡ Match delivery pace, structure, and tone to different audiences, including executive peers and frontline teams
⚡ Reinforce, update, and retire a narrative over time as strategy and circumstances evolve
⚡ Produce a completed, one-page Strategic Narrative Brief ready to deliver to a real stakeholder

Requirements
❗ No prior writing, storytelling, or public speaking experience required
❗ No software or tools needed beyond something to write with, a notebook, a document, or a phone
❗ A real, current strategic priority to work with (a decision, initiative, or change you are already leading or involved in) will make the course far more useful, though one is not required to follow along
❗ Willingness to complete short written and spoken exercises throughout the course, since the course is built around applying the method to your own work, not just watching

Description
Most leaders are not short on strategy. They have the plan, the roadmap, the metrics, the quarterly targets. What they are often short on is a story their team can actually hold onto and repeat back to them, in their own words, without a slide deck in front of them.

That gap, between having a strategy and having a narrative, is where good plans quietly fall apart. Information tells people what happened. Only narrative tells them why it matters and gives them something to carry out of the room. This course teaches you how to close that gap, using a practical, repeatable method rather than vague inspiration about being a better storyteller.

You will start by learning why narrative drives alignment, trust, and speed inside a team, and why relying on information alone leaves your best decisions vulnerable to being forgotten within days. From there, you will learn the three-part structure behind every narrative that actually works: context, conflict, and resolution, and how to choose the right protagonist, your organization, your team, or your customer, depending on who you are speaking to.

The middle of this course is entirely hands-on. You will take one of your own real strategic priorities and reverse-engineer it into this structure, attach one honest metric that survives being paired with its own cost, and compress the whole thing into a single sentence you can say out loud in a hallway, a Slack message, or a board meeting. You will also learn how to expand that same sentence for different rooms, from a quick team update to a full board presentation, without changing its underlying shape or losing what makes it true.

Delivery gets equal attention. You will learn how to match your pace, order, and tone to the audience in front of you, whether that is a skeptical executive peer or a frontline team hearing the reasoning for the first time. And because a narrative is not a one-time announcement, you will finish the course knowing how to reinforce it while it is alive, update it honestly when strategy shifts, and retire it gracefully once it goes flat.

By the end, you will not walk away with theory. You will walk away with a completed, one-page Strategic Narrative Brief, built from your own real work, tested against two practical checks, and ready to use with a specific stakeholder within the week.

This course is built for leaders, managers, and aspiring leaders at any level who need people to understand and act on their decisions, not just comply with them. No writing background or public speaking experience is required, just a real strategic priority to work with and the willingness to say your narrative out loud.

Who this course is for
⭐ Leaders and managers who need their team, peers, or board to understand and act on a decision, not just comply with it
⭐ Aspiring managers and leaders preparing to communicate strategy and decisions with more clarity and confidence
⭐ Anyone who has watched a well-reasoned decision get forgotten, misunderstood, or quietly resisted within weeks of being announced
⭐ Leaders who rely heavily on slides, data, and status updates and want a way to make those updates more memorable and persuasive
⭐ Managers who need to communicate the same strategic message differently across executive, peer, and frontline audiences
⭐ Anyone preparing for a specific upcoming moment, a town hall, a board update, a major team announcement, where the stakes of being understood are high

Download

Post Comment [0]

• views: 84
• date: 14 September 2026
• posted by: 0nelove

Dating App Business: Launch, Market and Monetise
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 40m | Size: 169.13 MB

Validate your niche, plan an MVP, attract users and build a lean dating business around your lifestyle.

What you'll learn
Define a focused dating-app niche and a clear promise based on a specific user problem.
Plan discovery interviews and choose a small MVP experiment before committing to more features.
Design an honest one-market beta and a measurable customer-acquisition experiment.
Assess pricing, acquisition costs and contribution using observed evidence rather than growth promises.
Document repeatable work, delegate with clear responsibilities and verify the outcome.
Identify essential trust, moderation and escalation requirements before inviting real participants.
Build a lean operating plan that protects focused work and supports your intended lifestyle.

Requirements
No programming experience is required. Bring a dating, social or community-app idea and a notebook or document for the practical exercises. Teaching and resources are in English.

Description
A dating app needs more than profiles and a matching feature. It needs a clear reason for a particular community to join, a useful experience that earns their trust, and a business model that can support the service.

This course gives aspiring founders a practical framework for developing a differentiated dating-app business, from the first idea to launch, customer acquisition and everyday operations. The focus is on making informed decisions before you commit to unnecessary features, expenses or complexity.

Define a differentiated concept and a lean MVP
Start with a real user problem and an underserved niche. Define your ideal customer, investigate alternatives and develop a clear unique selling proposition. Apply blue-ocean thinking in practical terms: find a meaningful difference for a specific audience instead of copying a larger platform. Connect that promise to your name, branding and initial feature set.

Next, scope a lean minimum viable product. Use the workbook to plan questions for prospective users, a small demand test and the evidence you need before adding features. Consider a focused beta or geographic launch. Treat product-market fit as something to investigate through user behaviour, not something a launch automatically delivers.

Plan acquisition and a viable revenue model
Use the launch workbook to choose an acquisition experiment around where your audience already spends time. Define the audience, message, budget, measurement and stop rule before spending. Draft clear landing-page copy and distinguish sign-ups from evidence that people will pay. The emphasis is on planning and evaluating a small test, not on step-by-step advertising-platform tutorials.

Consider monetisation alongside the experience you offer: what users would pay for, why they would return and whether revenue can support your operating costs. Customer support, moderation and scam prevention belong in the business plan from the start, not as afterthoughts.

Build repeatable operations around your lifestyle
Then build the systems behind the service. Document recurring tasks, define responsibilities, delegate with clear instructions and review completed work through evidence. Use automation where appropriate while retaining oversight. Simplify your tools, protect focused working time and create reusable procedures that reduce dependence on you.

Who this course is for
This course is for aspiring dating-app founders, solo entrepreneurs and existing platform owners. The principles also apply to social and community apps. No programming experience is required to follow the business framework; this is not a code-along development course or personal dating advice.

Your practical outcome
Your practical outcome is a connected business blueprint: a focused concept, an MVP and launch plan, acquisition and revenue hypotheses, and an operating approach shaped around your desired lifestyle. Use it to take the next step, test what works and improve deliberately. Building a sustainable business requires ongoing effort; income and user growth are not guaranteed.

Who this course is for
Aspiring dating-app founders and solo entrepreneurs who want to investigate a niche, plan a lean launch and design sustainable operations.
Owners of early-stage dating, social or community apps who want to improve positioning, acquisition tests and delegation. This is a business framework, not a code-along or personal dating-advice course.

Homepage

https://www.udemy.com/course/launch-market-monetize-dating-app-business/

Download

Post Comment [0]

• views: 179
• date: 14 September 2026
• posted by: 0nelove

Real-Time Intelligence and KQL with Microsoft Fabric
Published 9/2026
Created by Mikail Altundas
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 34 Lectures ( 3h 7m ) | Size: 2 GB

Master Real-Time Intelligence in Fabric from end to end: KQL, Eventstream, Eventhouse, KQL Database, Real-Time Dashboard

What you'll learn
⚡ Build solid skills in Real-Time Intelligence with Microsoft Fabric
⚡ Master the key Real-Time Intelligence components: Eventstreams, Eventhouses, KQL databases, Real-Time Dashboards, and Activator
⚡ Learn how to use KQL (Kusto Query Language)
⚡ Ingest, transform, analyze, and visualize streaming data in Microsoft Fabric
⚡ Design an end-to-end Real-Time Intelligence architecture, from the data source to dashboards and automated actions
⚡ Apply best practices for real-time data processing
⚡ Avoid common pitfalls when designing a Real-Time Intelligence architecture
⚡ Build the skills needed to deliver enterprise-ready Real-Time Intelligence projects
⚡ Develop skills relevant to the DP-700 : Microsoft Fabric Data Engineer Associate certification
⚡ Earn a certificate of completion

Requirements
❗ A basic understanding of Microsoft Fabric will be helpful

Description

Build solid skills in Real-Time Intelligence with Microsoft Fabric
Understand the fundamentals of Real-Time Intelligence in Microsoft Fabric and learn how to work effectively with real-time data. You'll discover how these capabilities can be used to address real-world business requirements.

Master the key Real-Time Intelligence components: Eventstreams, Eventhouses, KQL databases, Real-Time Dashboards, and Activator
Explore the core components of Real-Time Intelligence in Microsoft Fabric and understand the role each one plays. You'll learn how to combine them to ingest, analyze, visualize, and act on real-time data.

Learn how to use KQL (Kusto Query Language)
Learn how to use KQL to quickly explore and analyze data in Microsoft Fabric. You'll learn how to filter, transform, aggregate, and extract valuable insights from event data.

Ingest, transform, analyze, and visualize streaming data in Microsoft Fabric
Learn how to handle streaming data end to end, from ingestion through to visualization. You'll discover how to transform and analyze events in real time using Microsoft Fabric.

Design an end-to-end Real-Time Intelligence architecture, from the data source to dashboards and automated actions
Learn how to build a complete Real-Time Intelligence architecture, from data ingestion and storage to analysis and visualization. You'll also learn how to trigger automated actions based on real-time events.

Apply best practices for real-time data processing
Learn best practices for designing real-time data solutions that are efficient, reliable, and maintainable. You'll learn how to structure your data streams and Microsoft Fabric components more effectively.

Avoid common pitfalls when designing a Real-Time Intelligence architecture
Identify common issues related to streaming, architecture, and performance. You'll learn how to make the right technical decisions to build more robust and scalable Real-Time Intelligence solutions.

Build the skills needed to deliver enterprise-ready Real-Time Intelligence projects
Develop practical skills that you can apply directly to professional projects involving Microsoft Fabric and Real-Time Intelligence. You'll work with concepts and scenarios that reflect real-world business requirements.

Develop skills relevant to the DP-700 certification
Strengthen your knowledge of Microsoft Fabric, KQL, data ingestion, and real-time architectures. These skills will also support your preparation for the Microsoft DP-700 certification.

Earn a certificate of completion
Receive a certificate of completion that demonstrates the skills you've developed in Microsoft Fabric and Real-Time Intelligence.

Who this course is for
⭐ Beginners who want to learn Real-Time Intelligence in Microsoft Fabric
⭐ Developers and data professionals who want to learn KQL and Microsoft Fabric's Real-Time Intelligence tools
⭐ Professionals already working with Microsoft Fabric who want to deepen their knowledge of the Real-Time Intelligence workload
⭐ Anyone looking to develop skills relevant to the DP-700: Microsoft Certified Fabric Data Engineer Associate certification

Download

Post Comment [0]

• views: 105
• date: 14 September 2026
• posted by: 0nelove

The Complete ChatGPT Ads Course
Published 9/2026
MP4 | Video: h264, 1024x576 | Audio: AAC, 44.1 KHz
Language: English | Size: 520.57 MB | Duration: 1h 15m

Learn to Create, Launch, Target and Optimize ChatGPT Ads Campaigns From Scratch

What you'll learn
Understand how ChatGPT Ads work and how this new advertising channel can fit into their customer acquisition strategy.
Identify customer intent and create relevant targeting, context hints, ad groups and campaign structures for ChatGPT Ads.
Create, launch and measure their first ChatGPT Ads campaigns using practical strategies, creatives and campaign frameworks.
Analyze campaign performance, identify optimization opportunities and improve their ChatGPT Ads campaigns using a structured process.

Requirements
No prior ChatGPT Ads experience is required. Basic knowledge of your business, product or service and access to ChatGPT is helpful.

Description
This course contains the use of artificial intelligence.ChatGPT Ads are introducing a new way for businesses to reach potential customers inside conversational AI. Instead of advertising only around traditional searches, businesses can now explore advertising opportunities within an environment where people are already researching problems, comparing options and making decisions.Learn How To Advertise On ChatGPT With A Practical, Step-By-Step FrameworkIn this course, you will learn how ChatGPT Ads work, how campaigns are structured, how customer intent and relevance influence your strategy, and how to create and optimize your own campaigns.You will learn how to:• Understand how ChatGPT Ads work and where ads can appear• Understand the difference between traditional advertising and advertising in a conversational AI environment• Set up the fundamentals of a ChatGPT Ads campaign• Identify customer problems, situations and buying intent• Build relevant ad groups and context hints• Create ChatGPT Ads with different messaging and creative angles• Structure campaigns for e-commerce, coaches, course creators and service businesses• Understand the key metrics used to evaluate ChatGPT Ads performance• Set up a practical measurement and tracking approach• Analyze campaign performance and identify what needs improvement• Build a structured optimization process instead of making random changes• Understand common ChatGPT Ads mistakes and how to avoid them• Develop a practical approach for testing and improving your campaignsThis course is designed to be practical and implementation-focused. Rather than simply explaining the future of AI advertising, you will learn the actual concepts, campaign structure and strategic thinking required to work with ChatGPT Ads.A major focus of the course is customer intent.People use ChatGPT differently from traditional search engines. They can describe a problem, ask for information, compare different solutions, evaluate options and eventually move toward a decision. Understanding this journey is important when developing relevant advertising strategies for ChatGPT.You will also learn how to think beyond a single ad interaction. ChatGPT Ads can become one touchpoint in a broader customer journey, where interested visitors can continue through your website, retargeting campaigns and follow-up marketing.The course also covers campaign measurement and optimization so you can evaluate what is happening after launch and decide what to test next.Whether you are an e-commerce business owner, coach, course creator, consultant, service provider, marketer or agency professional, this course will give you a structured foundation for understanding and implementing ChatGPT Ads.No previous ChatGPT Ads experience is required.By the end of the course, you will have a practical framework for researching customer intent, structuring campaigns, creating ads, measuring performance and optimizing your ChatGPT Ads strategy.

E-commerce brands, coaches, course creators, consultants and service business owners who want to learn how to use ChatGPT Ads to reach potential customers.

Download

Post Comment [0]

• views: 125
• date: 14 September 2026
• posted by: 0nelove

Claude Certified Developer Foundations CCDV-F Video Course
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.41 GB | Duration: 8h 3m

Easy-to-follow video training: master Claude API integration, agentic workflows, MCP servers, and Claude Code

What you'll learn
Design agentic workflows using the Hub-and-Spoke model and coordinate subagents effectively
Integrate Claude via the Messages API, including streaming, vision, and extended thinking
Build and debug custom tools, function schemas, and MCP servers for Claude applications
Implement security best practices, including prompt injection defenses and secrets management

Requirements
Basic programming experience in any language is recommended before starting this course
Familiarity with REST APIs and JSON will help but is not strictly required
No prior experience with Claude or large language models is needed — foundational concepts are covered from the start

Description
This course contains the use of artificial intelligence.The Claude Certified Developer – Foundations (CCDV-F) certification is a foundational technical credential for professionals who build, integrate, and deliver Claude-powered applications, agents, and workflows. It validates a developer's ability to construct agents and workflows, integrate Claude through APIs and SDKs, implement custom tools, develop Model Context Protocol (MCP) servers, configure Claude Code, evaluate and debug application behavior, select and optimize Claude models, engineer prompts and context, and apply security and safety controls.This video training course provides a structured and comprehensive path to mastering the CCDV-F exam objectives through practical, developer-focused lessons. The course explores agent and workflow design, the Hub-and-Spoke coordination model, custom agent loops, API and client SDK integration, function calling, tool implementation, error handling, structured outputs, MCP server development, and Claude Code configuration. It also examines evaluation strategies, testing and debugging techniques, prompt and context engineering, model selection, token and cost optimization, prompt caching, application security, prompt injection defenses, and the secure management of credentials and sensitive information.Throughout the course, learners gain practical knowledge of agents and workflows, application integration, Claude Code, evaluation, testing, debugging, model optimization, prompt and context engineering, security, custom tools, and MCP development. The training explores how developers can use Claude models, APIs, SDKs, Skills, tools, and MCP servers to create dependable applications and agentic systems, while managing context effectively, validating structured outputs, analyzing application traces, handling API and tool errors, controlling costs and latency, applying least-privilege access, and protecting sensitive data.Whether you're building your first Claude-powered application or preparing for the official CCDV-F certification exam, this course gives you the practical, hands-on foundation to do it with confidence.

Software developers and engineers looking to build production-grade applications, agents, and workflows powered by Claude,Backend and API developers who want to integrate Claude into existing systems using the Messages API, SDKs, and custom tools,Developers preparing for the Claude Certified Developer – Foundations (CCDV-F) certification exam

Download

Post Comment [0]

• views: 85
• date: 14 September 2026
• posted by: 0nelove

Yoga for Epididymal Cyst & Scrotal Relief
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 48m | Size: 1.18 GB

Gentle pelvic floor yoga, targeted stretches, and breathwork to ease scrotal tension and support men's wellness.

What you'll learn
Understand gentle yoga postures and stretches designed to relieve pressure and discomfort in the pelvic floor and lower abdomen.
Master breathing techniques (Pranayama) and relaxation methods to effectively manage discomfort and reduce pelvic muscle tension.
Implement safe daily movement habits, postural alignment, and lifestyle tips to support overall scrotal and men's pelvic wellness.
Build a sustainable, low-impact daily yoga routine tailored specifically for men's pelvic comfort and stress relief.

Requirements
No prior yoga experience needed; all routines are beginner-friendly, gentle, and easily adaptable.
A yoga mat, comfortable athletic clothing, and a quiet space to practice.
Consultation with a medical professional is recommended to confirm your condition before starting any new exercise routine.

Description
Are you dealing with persistent scrotal discomfort, tightness, or pressure associated with an epididymal cyst?

Welcome toYoga for Epididymal Cyst & Scrotal Relief, a specialized, beginner-friendly course designed to help men restore pelvic comfort, ease muscle tension, and promote natural relaxation through gentle yoga and focused breathwork.

When experiencing pelvic floor tightness or scrotal discomfort, conventional intense workouts can sometimes aggravate symptoms. This program provides a safe, low-impact approach focused on opening the hips, relaxing the pelvic floor muscles, improving circulation to the groin area, and calming the central nervous system.

What You Will Learn & Experience
-Targeted Pelvic Stretches: Gentle yoga routines designed to release tension in the pelvic floor, hips, lower back, and inner thighs.

-Pranayama & Deep Relaxation: Guided breathing exercises that lower pelvic stress and assist with natural pain management.

-Daily Comfort Routines: Easy-to-follow flow sequences that fit seamlessly into your morning or evening routine.

-Postural & Movement Awareness: Everyday tips to avoid strain, sit comfortably, and maintain pelvic health.

Why Choose This Course?
-100% Beginner Friendly: No prior yoga experience or flexibility is required. All poses are explained with simple modifications.

-Safe & Gentle Approach: Focused entirely on low-impact, restorative movement—no heavy strain or intense pressure.

-Comprehensive Care: Combines physical postures with mindfulness and breathwork for holistic relief.

Important Medical DisclaimerThis course is designed for general wellness, relaxation, and physical comfort management. It is not intended as medical advice, diagnosis, or treatment for any medical condition, including epididymal cysts. Always consult a qualified medical professional or urologist regarding any medical concerns or before starting a new exercise program.

Who this course is for
Men experiencing discomfort from an epididymal cyst or general pelvic/scrotal tension looking for natural management strategies.
Individuals seeking safe, gentle, and low-impact yoga routines to support men's pelvic floor health and wellness.
Anyone looking for mind-body relaxation practices, breathwork, and posture improvement to ease lower body stress.

Homepage

https://www.udemy.com/course/yoga-for-epididymal-cyst-scrotal-relief/

Download

Post Comment [0]

• views: 86
• date: 14 September 2026
• posted by: 0nelove

SC-300 Identity and Access Administrator Associate Course
Published 9/2026
Created by Sindre Ditlefsen
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 101 Lectures ( 10h 48m ) | Size: 8.7 GB

Microsoft Entra ID, IAM, authentication, access management, and identity governance for modern security.

What you'll learn
⚡ Implement and manage user identities
⚡ Implement authentication and access management
⚡ Plan and implement workload identities
⚡ Plan and automate identity governance

Requirements
❗ No requirements or prerequisites needed

Description
Master Microsoft Identity and Access Management with a practical, exam-focused SC-300 course.

This course is created by an instructor with10+ years of cybersecurity experience, working with security operations, cloud security, identity management, and enterprise security solutions.

The course follows theofficial Microsoft SC-300 Identity and Access Administrator study guide and is designed to help you build the knowledge and practical skills required for the certification exam.

What you will learn
We will cover all skills measured by Microsoft

1. Implement and manage user identities (20–25%)

✨ Configure and manage Microsoft Entra tenants

✨ Manage users, groups, and administrative access

✨ Configure built-in and custom Microsoft Entra roles

✨ Implement identity lifecycle management

2. Implement authentication and access management (20–25%)

✨ Configure authentication methods

✨ Implement Conditional Access policies

✨ Manage identity protection and secure sign-in

✨ Control access to applications and resources

3. Plan and implement workload identities (20–25%)

✨ Manage application identities

✨ Configure service principals and managed identities

✨ Secure application and service access

✨ Apply best practices for workload identity security

4. Plan and automate identity governance (20–25%)

✨ Implement entitlement management

✨ Configure access reviews

✨ Manage privileged access

✨ Automate identity governance processes

Hands-on labs included
Understanding concepts is not enough — identity security requires practical experience.

This course includes hands-on labs where you will work with Microsoft Entra ID and practice real-world tasks covered in the SC-300 exam.

The labs are attached to the course and should be completed as part of your preparation.

Exam preparation
This course is aligned with the official Microsoft SC-300 study guide.

If you are preparing for the certification exam, we will ensure that all required skills, objectives, and tasks are covered.

The SC-300 exam is not only about knowing the technology — it is about applying the correct solution under time pressure. The course focuses on understanding concepts, navigating Microsoft Entra, and building the practical skills needed to succeed.

Recommended background
Basic understanding of

✨ Microsoft Azure fundamentals (for example hold AZ-900 Azure Fundamentals certification)

Whether you are preparing for SC-300, working in cybersecurity, or moving into cloud identity security, this course will help you develop the skills needed to manage and secure identities in modern organizations.

Who this course is for
⭐ IT administrators
⭐ Help desk or support engineers
⭐ System administrators
⭐ Cloud engineers
⭐ Security professionals
⭐ Students preparing for the SC-300 certification exam

Download

Post Comment [0]