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Category: Tutorials










W D Gann – Original Commodity Market Trading Course
W D Gann – Original Commodity Market Trading Course | 461 MB

W D Gann – Original Commodity Market Trading Course
The Original Commodity Courses of W.D. Gann Compiled by Cody Jones.






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Category: Tutorials


The Complete WiFi Course- 80211 Standards and Packet Capture
4.3 GB | 5min 20s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English




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Category: Tutorials


How to Land Your First Cybersecurity Job as a SOC Analyst 2026
830.46 MB | 19min 20s | mkv | 1920X1080 | 16:9
Genre:eLearning |Language:English




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Category: Tutorials


Computer NetWorks CN Masterclass- OSI- TCP-IP
11.69 GB | 28min 52s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English




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Category: Tutorials


Nginx (2026) - Beginner to Advanced 1080
4.36 GB | 14min 31s | mp4 | 3840X2160 | 16:9
Genre:eLearning |Language:English




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Category: Tutorials


Ardanlabs - Ultimate Go Software Design with Kubernetes 2 0
7.46 GB | 1h 24min 55s | mp4 | 1920X1076 | 16:9
Genre:eLearning |Language:English




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Category: Tutorials


Certified Kubernetes Security Specialist (CKS) Course
2.07 GB | 12min 25s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English




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Category: Tutorials


[Gumroad] Texturing And Shading Realistic Skin In Maya Mari And Zbrush
1.52 GB | 9min 15s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English




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Category: Tutorials


Master SQL Server Database Administration
Master SQL Server Database Administration
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English (US) | Duration: 2 h | Size: 1.74 GB




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Category: Tutorials

Creativity for Non-Creative People
Creativity for Non-Creative People
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 5m | Size: 1.61 GB

Build a daily creative practice that produces real ideas — no talent or background required

What you'll learn
The Notice-Capture-Create framework: a three-step daily system for consistent creative output
How to build a morning idea capture habit that generates ideas before your day starts
How to design a daily input diet that expands creative range beyond your professional field
A three-step diagnostic system for beating creative block every single time
How to shift from accumulating creative ideas to actually executing them

Requirements
No prior creative experience or background of any kind
Willingness to try small daily habits and do two short homework assignments
An open mind about what creativity actually is — and who it's actually for

Description
Most people who say they're not creative are wrong. Not slightly wrong, significantly wrong. The problem isn't that you lack creativity. It's that you've never been given a practical daily system for producing it.

This course dismantles the belief that creativity is a talent you either have or don't, and replaces it with a three-step daily framework anyone can build: Notice. Capture. Create.

Across ten focused sessions, you'll learn why the single most powerful creative habit costs nothing, put your phone away, walk outside with a notepad and pen, and give your brain actual room to think. You'll learn how to design an input diet that expands your creative range, how to stop losing your best ideas before you can use them, and how to beat the blank page every time it shows up. You'll also confront the honest counterpoint most creativity courses skip: how to stop endlessly generating ideas and start actually making something.

This isn't motivational content. It's a working system, built for professionals who need creative thinking as part of how they operate — not as a side project.

By the end, you won't just have more ideas. You'll have the daily practice that keeps producing them.

WHAT YOU'LL LEARN
- The Notice-Capture-Create framework: a three-step daily system for consistent creative output

- How to build a morning idea capture habit that generates ideas before your day starts

- How to design a daily input diet that expands creative range beyond your professional field

- A three-step diagnostic system for beating creative block every single time

- How to shift from accumulating creative ideas to actually executing them

WHO THIS COURSE IS FOR
- Professionals in non-creative roles — engineers, lawyers, accountants, managers — who want to think more creatively

- Anyone who has said "I'm just not a creative person" and believed it

- Entrepreneurs and business owners who need a steady supply of ideas but have no reliable system for generating them

- People in creative fields who have lost momentum and need a practical reset

- Anyone who wants a daily methodology rather than motivational advice about creativity

Who this course is for
Professionals in non-creative roles — engineers, lawyers, accountants, managers — who want to think more creatively
Anyone who has said "I'm just not a creative person" and believed it
Entrepreneurs and business owners who need a steady supply of ideas but have no reliable system for generating them
People in creative fields who have lost momentum and need a practical reset
Anyone who wants a daily methodology rather than motivational advice about creativity


https://www.uploadcloud.pro/98muh8i4tngn/Creativity_for_Non-Creative_People.part2.rar.html
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Category: Tutorials

Critical Thinking: Applying Strategies at Work
Critical Thinking: Applying Strategies at Work
Released 10/2026
By Alice Meredith
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 52m 26s | Size: 1016.8 MB

Knowing how to think critically is only half the challenge.

Knowing how to think critically is only half the challenge. At work, decisions must be made under tight constraints, competing priorities, risk, and real human impact. Even strong analysis can fall apart if it can't be executed.
In this course, Critical Thinking: Applying Strategies at Work, you'll gain the ability to make defensible decisions under real-world pressure and sharpen your judgment with every outcome.
In this course, you'll learn how to apply critical thinking to make decisions that actually hold up in real-world conditions.
First, you'll explore how to work within the constraints every decision has to navigate, including tradeoffs, risk, and ethical or human impact. Next, you'll discover how to frame, ground, and commit to a decision using a repeatable approach. Finally, you'll learn how to reflect on results with after-action reviews and double-loop learning. When you're finished with this course, you'll have the skills and knowledge of applied critical thinking needed to turn analysis into confident action and keep improving your decisions over time.

Homepage


https://www.uploadcloud.pro/8mnb9xb20o3x/Critical_Thinking_Applying_Strategies_at_Work.part2.rar.html
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Category: Tutorials

Computer Vision with PyTorch: Practical Deep Learning
Computer Vision with PyTorch: Practical Deep Learning
Published 10/2026
Created by Ackley Will
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 44 Lectures ( 8h 26m ) | Size: 8.4 GB

Build and improve image classifiers with hands-on projects, CNNs, transfer learning, and fine-tuning.

What you'll learn
⚡ Build your first image classifier with PyTorch through a guided, step-by-step project.
⚡ Understand how neural networks learn from examples and recognize patterns in images.
⚡ Prepare your own image datasets for training and testing computer vision models.
⚡ Build and train convolutional neural networks (CNNs) with clear explanations and practical Python code.
⚡ Evaluate your model's predictions and identify where it performs well and where it makes mistakes.
⚡ Improve your models with transfer learning and selective fine-tuning using a pretrained ResNet.
⚡ Apply data augmentation and regularization to reduce overfitting and help your models perform better on new images.
⚡ Complete an image classification project and adapt the workflow to your own ideas and datasets.

Requirements
❗ Basic Python programming knowledge, including variables, loops, and functions.
❗ A computer with internet access and permission to install Python, PyTorch, and Jupyter Notebook.
❗ No previous experience with PyTorch or computer vision is required.
❗ A willingness to learn by doing, experiment with the code, and work through the projects.

Description

Build your first computer vision model. Then learn how to make it better.
Turn your Python skills into working image classification projects with PyTorch. Learn how to train a neural network, understand its predictions, and make informed decisions about what to improve next.

Whether you are building your first model or have already followed a few tutorials, this course gives you a connected path through the complete workflow: prepare your images, build a model, train it, evaluate its performance, and experiment with improvements.

See your first classifier in action early in the course
You will begin with a guided Rock-Paper-Scissors project, using a provided notebook to see how the pieces fit together. You can follow the complete process before learning every implementation detail.

From there, we will explore how neural networks learn and connect those ideas to practical PyTorch code. You will develop an intuitive understanding of predictions, loss, backpropagation, and parameter updates, then see how convolutional neural networks work with images.

Build one project and improve it step by step
The main project uses the Intel Image Classification dataset to recognize six types of scenes, including buildings, forests, and mountains.

You will start with a simple CNN and follow its development across several modules. As you add new techniques, you will compare results and investigate what changed.

Along the way, you will learn to

✨ Prepare image datasets, transformations, and data loaders.

✨ Build and train a convolutional neural network in PyTorch.

✨ Use training, validation, and test sets for their different purposes.

✨ Interpret learning curves, classification metrics, and confusion matrices.

✨ Apply transfer learning with a pretrained ResNet-18.

✨ Fine-tune selected layers to adapt the model to your task.

✨ Use data augmentation, dropout, and weight decay to address overfitting.

✨ Compare models, save checkpoints, and make predictions on your own images.

Understand what your results are telling you
A model can perform well during training and still struggle with new images. It can also achieve a promising overall score while repeatedly confusing particular categories.

You will learn how to recognize these patterns and use them to guide your next experiment. The emphasis is on understanding your results, comparing approaches, and explaining the decisions you make.

Bring everything together in a final capstone
Return to Rock-Paper-Scissors with a stronger set of skills. Establish a baseline, apply transfer learning and selective fine-tuning, compare the final models, and examine their mistakes.

The capstone gives you room to make your own implementation decisions, with hints and a completed solution available when you need support. The solution includes reference results so you can compare your approach and interpretation.

Learn with clear explanations and practical resources
The course includes guided video lessons, downloadable Jupyter notebooks, practice tasks, and completed solutions. Setup guidance helps you prepare your environment, and a Jupyter Notebook introduction is included if you are new to it.

I am Ackley Will, a university computing professor with more than 12 years of teaching experience and research experience in computer vision and deep learning. My goal is to help you understand the ideas, connect them to code, and build the confidence to experiment.

You need basic Python knowledge, including variables, loops, and functions. No previous experience with PyTorch or computer vision is required.

Join me and build a practical workflow you can adapt to your own image classification projects.

Who this course is for
⭐ Python learners who want to build their first computer vision projects with PyTorch.
⭐ Students and developers looking for a practical introduction to deep learning for image classification.
⭐ Learners who have built basic models and want to improve their results with transfer learning, fine-tuning, and data augmentation.
⭐ Researchers and professionals who want to apply an image classification workflow to their own datasets.

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Category: Tutorials

Claude Certified Architect (CCA-F, CCAR-F) Masterclass 2026
Claude Certified Architect (CCA-F, CCAR-F) Masterclass 2026
Published 10/2026
Created by Sachin, GIMIT
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 53 Lectures ( 8h 8m ) | Size: 9.3 GB

Master Anthropic Claude API, Prompt Engineering, Claude Code CLI, Function Calling, and Structured JSON Extraction.

What you'll learn
⚡ Configure and secure Anthropic API keys while mastering token budgets, pricing structures, and rate-limit mitigation strategies.
⚡ Design production-grade system prompts using advanced XML tagging and few-shot contextual patterns for consistent outputs.
⚡ Master the Claude Code CLI environment, initializing custom project architectural rulebooks via CLAUDE. md files.
⚡ Implement robust tool use and function calling across Python and TypeScript to connect Claude with external systems.
⚡ Enforce strict JSON schemas and automated validation retry loops for reliable, structured data extraction pipelines.
⚡ Control model creativity and response boundaries using hyperparameters, temperature, top_p settings, and stop sequences.
⚡ Build advanced document parsing, classification, and summarization workflows leveraging long-form context windows.
⚡ Defend applications against prompt injection attacks and secure multi-turn tool execution pipelines against latency.

Requirements
❗ Basic familiarity with programming concepts (Python or TypeScript fundamentals are helpful but not strictly required).
❗ A computer with internet access to set up the Anthropic Developer Console and local command-line tools.
❗ No prior experience with Claude or LLM APIs is necessary—we will guide you step-by-step from absolute beginner to architect level!

Description
This course contains the use of artificial intelligence.

Master the Anthropic Ecosystem with the Definitive Claude Certified Architect Foundations Course
Are you ready to unlock the full potential of Anthropic's frontier AI models? Welcome toClaude Certified Architect – Foundations (CCA-F, CCAR-F), the ultimate, hands-on masterclass designed to take you from a curious developer to a certified-level practitioner of Claude, Claude Code, and the Anthropic API.

As Large Language Models (LLMs) reshape software development, Claude has emerged as the premier choice for professional engineering teams due to its advanced reasoning, massive context windows, and sophisticated safety mechanisms. This comprehensive course covers everything you need to build robust, production-grade applications using Python, TypeScript, and modern CLI tools.

What You Will Master

✨The Anthropic API & Ecosystem: Learn how to configure developer consoles, handle token budgeting, manage secure API keys, and implement real-time streaming responses.

✨Advanced Prompt Engineering: Discover the secrets of XML tagging, few-shot prompting patterns, system prompt architecture, and eliminating conversational drift.

✨Claude Code CLI Integration: Set up local developer environments, write structural CLAUDE. md rulebooks, and perform safe, AI-assisted code generation.

✨Tool Use & Function Calling: Bridge Claude to external systems by defining strict schemas, handling multi-turn interactions, and debugging parameter errors.

✨Structured Outputs & Data Pipelines: Force guaranteed JSON outputs, prevent malformed responses, build document parsing systems, and defend against prompt injections.

Whether you are a software engineer, technical product manager, or AI enthusiast, this course provides the exact architectural blueprints required to build resilient, enterprise-ready AI solutions. Enroll today and future-proof your career with Claude!

Who this course is for
⭐ Software Engineers & Developers wanting to integrate Claude into real-world applications using the Anthropic API.
⭐ Full-Stack & Backend Programmers looking to master function calling, tool use, and structured JSON outputs.
⭐ AI Enthusiasts & Technical Product Managers aiming to build a deep, architectural understanding of Anthropic's ecosystem.
⭐ Developers Preparing for Certification who want hands-on, practical foundations aligned with Claude architectural standards.

Homepage

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Category: Tutorials

Certified AI Creative Technologist
Certified AI Creative Technologist
Published 10/2026
Created by JayTech AI Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 5h 52m ) | Size: 2.1 GB

Master Generative AI for content, images, video, audio, prompt engineering, automation, and AI-powered creative products

What you'll learn
⚡ Understand how generative AI works
⚡ Use large language models for creative work
⚡ Write professional prompts for text, images, and multimedia
⚡ Generate marketing and brand content

Requirements
❗ No prior AI, coding, or design experience is required

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

Welcome toCertified AI Creative Technologist, a comprehensive, hands-on course designed to help you master the intersection of artificial intelligence, creativity, technology, and digital innovation.

As artificial intelligence continues to transform industries, organizations are seeking professionals who can combine creative thinking with emerging AI technologies to develop innovative solutions, streamline workflows, and produce engaging digital experiences.

This course equips you with the practical knowledge and creative skills needed to leverage generative AI tools, AI-powered design platforms, content creation technologies, automation systems, and no-code solutions to bring ideas to life.

Whether you are a graphic designer, content creator, digital marketer, entrepreneur, educator, technology enthusiast, or aspiring AI professional, this course will help you explore new possibilities in AI-driven creativity and innovation.

Through practical demonstrations, real-world examples, and hands-on projects, you will learn how to integrate artificial intelligence into modern creative workflows, develop AI-powered digital products, and apply creative problem-solving techniques to business challenges.

What You'll Learn

✨ Understand the role of an AI Creative Technologist and its importance in today's digital economy.

✨ Explore generative AI and its applications across creative industries.

✨ Master AI-powered tools for content creation, graphic design, image generation, and video production.

✨ Develop effective prompt engineering techniques for creative AI applications.

✨ Create compelling digital content using AI-assisted workflows.

✨ Explore AI-powered branding, storytelling, and visual communication.

✨ Build AI-driven websites, applications, and digital experiences using no-code and low-code technologies.

✨ Automate creative workflows to improve productivity and efficiency.

✨ Integrate AI technologies into marketing, business, and digital media projects.

✨ Apply design thinking and creative problem-solving to AI-powered solutions.

✨ Understand responsible AI, copyright considerations, ethical AI use, and intellectual property challenges.

✨ Develop a portfolio of practical AI creative projects.

✨ Identify career, freelancing, entrepreneurship, and consulting opportunities in AI creative technology.

Who this course is for
⭐ This course is ideal for: Content creators Graphic designers Marketing professionals Social media managers Video creators Copywriters Entrepreneurs Creative professionals AI consultants Digital marketers Brand strategists Educators Freelancers Creative technologists Professionals transitioning into AI-enabled creative roles



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Category: Tutorials

Building Reliable AI Systems, Video Edition
Building Reliable AI Systems, Video Edition
Released 8/2026
By Rusheel Shahani
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 10h 15m | Size: 2 GB

"Practical, comprehensive, and urgently needed."

"Practical, comprehensive, and urgently needed." —Samer Hamad, AmazonBuilding Reliable AI Systems: Applications and agents you can trust shows you how to grow a promising prototype into a production product you can deliver, maintain, and scale. In 11 sharply-focused chapters, it walks you through a unique reliability process that author Rush Shahani refined while building an AI-powered sales intelligence platform used by over 15,000 go-to-market teams. Timely and practical, this book provides concrete steps to eliminate costly hallucinations, streamline computational resources, and confidently deploy secure, trustworthy, and compliant AI solutions. You'll immediately appreciate how Building Reliable AI Systems defines "AI reliability" along six critical dimensions—accuracy and grounding, safe agency, graceful failure, consistency, fairness, and operational efficiency—and provides a specific three-layer framework to achieve these goals. The first layer, with a focus on outputs, shows you how to get consistent and accurate responses using well-engineered prompts, RAG, and model customization. The second layer, about agents, establishes parameters for memory, tool usage, and orchestration in agentic systems. The book concludes with the third layer—Reliable Operations—covering deployment, monitoring, and responsible AI. The book's reliability framework emphasizes the symbiotic relationship between evaluation and reliability, proving that you cannot improve what you do not measure. You'll learn to measure your applications using fine-grained LLM-native evaluation rubrics like the Grounding Defect Rate, Hallucination Severity Score, and FActScore that audit everything from RAG outputs to the entire step-by-step reasoning trajectory of autonomous agents. Building Reliable AI Systems stays rooted in reality from start to finish. As you go, you will build several projects, including a multi-agent travel planner and a medical assistant, and use industry standard tools and specifications like LangGraph and MCP. In the helpful appendices you'll find a handy reference architecture and decision-making checklists. Reviewer Mohamed Zohir Koufi, Lead AI Engineer at Capgemini, praises how the book "brings together architecture, tooling, evaluation, and governance in the way real systems are built." By taking this comprehensive approach to LLMOps, the book delivers a reproducible process to ensure your applications stay cost-effective, fast, and compliant with enterprise standards like HIPAA and GDPR.About the TechnologyAbout the BookWhat's Inside
Ground outputs in real business data
Orchestrate safe, consistent multi-step agent workflows
Implement robust monitoring, semantic caching, and multi-model fallbacks
About the ReaderFor Python-fluent software engineers and data scientists ready to build production-grade, reliable AI applications.About the AuthorRush Shahani is an AI leader who has spent his career shipping machine learning systems that hold up under real-world conditions. He co-founded Persana AI, a Y Combinator-backed sales intelligence platform that has joined forces with Rox. Before Persana, Rush built AI and search systems at LinkedIn and Element AI (acquired by ServiceNow), and backend and payments infrastructure at Shopify.QuotesA resource packed with actionable advice.- Attila Bagossy, SustainabotMust-read. Offers clear explanations, practical techniques, and real-world insights bridging the gap between theory and application.- Nehaa Bansal, SAP LabsAn indispensable guide for the next era of AI engineering.- Oren Etzioni, University of WashingtonA thoroughly researched book that will spark the interest of many readers.- Georg Sommer, HTL SpengergasseThe dual perspective—combining implementation-level details with real-world product considerations—makes the writing particularly engaging and relevant for practitioners building production-grade LLM systems.- Heng Zhang, SalesforceHelps you stay up to date and valid on the hottest topic in the engineering community right now.- Clyde Kallahan, Unlocked Labs

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Category: Tutorials

Building ASP.NET Core REST APIs with an AI-Powered Workflow
Building ASP.NET Core REST APIs with an AI-Powered Workflow
Published 10/2026
Created by Elegant Code – Krystyna Ślusarczyk
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 314 Lectures ( 23h 22m ) | Size: 14.9 GB

Build production-ready APIs with C#, Entity Framework Core & PostgreSQL. Learn AI-assisted development workflow.

What you'll learn
⚡ Build professional REST APIs with ASP.NET Core from scratch.
⚡ Design APIs that follow REST principles and industry best practices.
⚡ Write clean, maintainable, professional-grade API code.
⚡ Build APIs with both Minimal APIs and Controllers, and know when to use which.
⚡ Work with databases using Entity Framework Core and PostgreSQL.
⚡ Secure APIs with ASP.NET Core Identity, JWT, and role-based authorization.
⚡ Write integration and unit tests for your APIs.
⚡ Use GitHub Copilot and Claude Code responsibly to speed up your work.

Requirements
❗ Basic knowledge of C#. I'll teach you everything you need to know about building APIs.
❗ No prior experience with ASP.NET Core, databases, or AI tools is needed.
❗ A computer (Windows/macOS) with access to the Internet.
❗ No paid software is needed. All tools used in this course are free, and paid AI tools are optional.

Description
Welcome to"Building ASP.NET Core REST APIs with an AI-Powered Workflow", a complete, hands-on course where you build a real REST API from scratch, the way it is done in professional projects.

As a .NET Technical Lead with over a decade of experience, I'll guide you every step of the way, from your very first endpoint to a secured, fully tested API.

Why learn to build APIs with ASP.NET Core?
APIs are behind almost every modern application. Web apps, mobile apps, and other systems all rely on them to communicate. That's why almost every company builds APIs, and why API development is one of the mostin-demand skills employers look for in .NET developers. ASP.NET Core is one of the fastest and most widely used frameworks for building them, trusted by companies of all sizes.

Building an API that simply works is not that hard. Building one that issecure, maintainable, and follows industry best practices is a different skill. That skill is what professional teams expect, and it is exactly what this course will teach you.

What makes this course different?
✨Best practices from day one. We write professional-grade code from the start, so you never have to unlearn shortcuts later.

✨We go beyond "it works". You'll understand why each decision is made, not just how to type the code.

✨Both Minimal APIs and Controllers. You'll learn both approaches and know when to choose which.

✨Real-world architecture. DTOs, mapping, validation, a service layer, and the result pattern, the way they are used in production codebases.

✨Security done right. User management with ASP.NET Core Identity, JWT authentication, role-based authorization, and safe handling of secrets.

✨Automated testing. You'll write integration and unit tests and learn how to make them fast, reliable, and easy to maintain.

✨Constant refactoring. We review and improve our code as the project grows, just like in a real team.

AI as a tool, not a replacement for understanding
AI tools are now part of everyday work for many developers. In this course, you'll learn to useGitHub Copilot and Claude Code responsibly. We only use AI for things we already understand, and we review every line it produces. You'll learn how to write good prompts, how to verify AI output, and when not to use AI at all.

The AI part isfully optional. You can complete the entire course without any AI tools, or using free tools only.

Technologies covered
.NET 10, C#, ASP.NET Core, Entity Framework Core, PostgreSQL, Docker, FluentValidation, Mapperly, ErrorOr, ASP.NET Core Identity, JWT, Scalar, and Postman. The course works on bothWindows and macOS, with Visual Studio Community and VS Code.

Professional API development is one of the most valuable skills a .NET developer can have. Learn it the right way, with the tools modern developers actually use.

Enroll now and start building APIs like a pro!

Who this course is for
⭐ C# developers who want to learn how to build REST APIs with ASP.NET Core.
⭐ Anyone who wants to start a career as a .NET backend developer.
⭐ Junior and mid-level developers who want to write professional, production-quality backend code.
⭐ Developers who want to use AI tools in their work without losing control over their code.

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Category: Tutorials

Boost Productivity with Slack, Google Tools & Email Hacks
Boost Productivity with Slack, Google Tools & Email Hacks
Published 10/2026
Created bvy LearnersCare LLC
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 1h 53m ) | Size: 742.9 MB

Transform your workflow using Slack, connecting Slack to Google Analytics, and mastering Slack for ultimate productivity

What you'll learn
⚡ Navigate Slack and configure your profile, workspaces, settings, and preferences for more efficient collaboration.
⚡ Organize team communication using Slack channels, direct messages, message posts, members, and user groups.
⚡ Explore Slack's built-in recording features, analytics, and search tools to support project communication and information discovery.
⚡ Understand how Zapier integrations can connect Slack with other applications to support workflow automation.
⚡ Use Google Workspace tools to improve document creation, file management, scheduling, and team collaboration.
⚡ Apply Google Docs voice typing and explore YouTube transcripts to support content access and productivity.
⚡ Explore Gmail productivity techniques and email management approaches for more organized professional communication.
⚡ Manage appointments and schedules using Google Calendar, including the use of multiple calendars.
⚡ Collaborate on Google Docs, work with Microsoft Word files, and explore collaborative PDF editing.
⚡ Understand collaboration features involving Google Docs, Google Sheets, Google Slides, Google Drive, and Google Forms.
⚡ Use Google Keep to organize tasks and projects within your digital workflow.
⚡ Explore Google Hangouts, Google Voice, and YouTube Live collaboration features for communication and teamwork.
⚡ Understand how offline document access and paid G Suite applications can support different working environments.
⚡ Identify practical ways to combine Slack and Google productivity tools to organize communication, information, and everyday work.

Requirements
❗ A computer or compatible device with an internet connection is recommended for following the practical lessons.
❗ Basic computer and internet browsing skills will help you navigate the tools covered in the course.
❗ Access to Slack and relevant Google services may be required to follow along with account setup and application demonstrations.
❗ A Google account may be useful for exploring Google Docs, Google Drive, Google Calendar, Google Sheets, Google Slides, and other Google tools.
❗ No advanced project management or automation experience is required; a willingness to explore digital productivity tools is sufficient to get started.

Description
This course contains the use of artificial intelligence.

Want to improve your productivity, streamline communication, and manage your daily work more efficiently? This practical course,Boost Productivity with Slack, Google Tools & Email Hacks, will help you explore the features of Slack, Google Workspace, Gmail, and other essential productivity tools to organize tasks, collaborate with teams, and simplify everyday workflows.

Whether you work remotely, manage projects, collaborate with colleagues, or handle multiple responsibilities, learning how to use the right productivity tools can help you work smarter and communicate more effectively.

This course combines two essential areas of workplace productivity:Slack project management and team communication, followed byGoogle Workspace productivity techniques and email management hacks. You will explore practical features and workflows designed to help you organize information, collaborate on documents, manage schedules, share resources, and improve your digital work environment.

What You Will Learn

1. Master Slack for Project Management and Team Communication

Discover how to use Slack as a collaborative workspace for project management, team communication, and workflow coordination. Learn how to create an account, configure your profile, manage multiple workspaces, and customize your Slack environment.

You will explore workspace settings, preferences, member management, user groups, channels, direct messages, and message posting. You will also learn about Slack's built-in recording features, analytics, search functionality, and Zapier integrations.

These practical Slack productivity techniques can help you organize conversations, improve information sharing, reduce communication friction, and manage collaborative work more efficiently.

2. Improve Productivity with Google Workspace Tools

Explore Google Workspace tools that support document creation, collaboration, scheduling, file management, and team productivity. Learn how Google Docs, Google Sheets, Google Slides, Google Drive, Google Forms, Google Calendar, and Google Keep can support different aspects of your daily work.

You will discover how to use voice typing in Google Docs, access YouTube transcripts, collaborate on documents in real time, work with Microsoft Word files, edit PDF documents collaboratively, and use communication features alongside your documents.

The course also introduces practical approaches to organizing files, managing tasks, coordinating schedules, collecting information, and collaborating through Google's productivity ecosystem.

3. Discover Gmail Productivity and Email Management Hacks

Learn how to make your email workflow more efficient by exploring practical Gmail productivity techniques. The course covers external productivity tools and voice-related approaches, along with internal Gmail management techniques designed to help you organize communication and handle email-related tasks more effectively.

These lessons focus on improving everyday email workflows so you can manage professional communication with greater clarity and efficiency.

4. Organize Your Schedule, Tasks, and Digital Workspace

Learn how Google Calendar can help you manage appointments, coordinate schedules, and work with multiple calendars. Explore Google Keep for organizing tasks and projects, Google Drive for managing files, and Google Forms for collecting information.

You will also explore Google Hangouts, Google Voice, YouTube Live collaboration, offline document access, and paid G Suite applications covered in the curriculum.

By understanding how these tools support different workplace activities, you can develop a more organized and flexible digital productivity workflow.

Why Take This Course?

Modern work often involves multiple communication channels, documents, calendars, and collaboration platforms. Without an organized workflow, it can become difficult to keep track of information and coordinate tasks.

This course brings Slack and Google productivity tools together in one learning experience. Instead of focusing on a single application, you will explore a range of practical features that can support communication, collaboration, document management, scheduling, and email productivity.

You will gain a clearer understanding of how these tools work and how to apply their features to everyday professional tasks.

Who Is This Course For?

This course is designed for professionals, students, project coordinators, remote workers, team members, business owners, and anyone who wants to improve their productivity using Slack, Google Workspace, Gmail, and related digital tools.

Whether you are learning these tools for the first time or want to explore additional features, the lessons will help you build a more organized approach to digital work.

Start Improving Your Digital Productivity

If you want to manage team communication more effectively, explore useful Google Workspace features, organize your email workflow, and make better use of everyday productivity applications, this course is a practical place to start.

Enroll on Udemy and begin exploring Slack, Google tools, email productivity techniques, and collaborative workflows that can help you work smarter.

Who this course is for
⭐ Professionals and Office Workers: People who want to organize daily tasks, communication, and documents more efficiently.
⭐ Project Managers and Project Coordinators: Individuals interested in using Slack and productivity applications to support project communication and coordination.
⭐ Remote Workers and Distributed Teams: People who collaborate digitally and want to explore practical communication and workflow tools.
⭐ Team Leaders and Supervisors: Professionals who want to understand Slack channels, user groups, shared documents, and collaborative workspaces.
⭐ Students and Learners: Individuals who want to develop practical skills in digital collaboration and workplace productivity applications.
⭐ Business Owners and Entrepreneurs: People who manage business communication, schedules, files, and administrative tasks using online tools.
⭐ Administrative Professionals: Individuals who handle email, calendars, documents, forms, and information management.
⭐ Freelancers and Independent Professionals: People who want to improve their personal workflow and collaborate with clients or teams online.
⭐ Google Workspace Users: Anyone interested in exploring additional features of Google Docs, Sheets, Slides, Drive, Forms, Calendar, and Keep.
⭐ Productivity Enthusiasts: Learners who want to discover practical Slack features, Gmail productivity hacks, Google tools, and digital collaboration techniques.


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Category: Tutorials

Beginner Acoustic Guitar: Chords, Strumming & Fingerpicking
Published 10/2026
Created by Leonardo Pompei
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 31 Lectures ( 2h 46m ) | Size: 3.4 GB

Master major and minor CAGED shapes, sus, 7th and Add9 chords, plus fingerpicking patterns through classic songs.

What you'll learn
⚡ Play essential open guitar chords cleanly and change between them smoothly with practical exercises for acoustic guitar beginners.
⚡ Use beginner strumming patterns, rhythm, accents and grooves to make chord progressions sound musical and confident.
⚡ Use a capo and the CAGED system to play major and minor chords in different keys and positions across the guitar neck
⚡ Learn new songs independently using chord charts, richer chord voicings, simple arpeggios and a repeatable step-by-step system.

Requirements
❗ No prior guitar experience or music theory is required.

Description
Learning acoustic guitarshould notfeel like memorizing endless chord shapes without understanding how they connect.

This course gives beginners and early-stage guitar players a clear, practical path to build a strong acoustic guitar foundation. You will start with essential chords and rhythm, then gradually expand those ideas across the fretboard using the CAGED system before moving into richer chord sounds and fingerpicking.

Build a Practical Acoustic Guitar Foundation

You will begin by learning how to hold and tune your guitar, followed by five essential chord shapes and a useful strumming pattern that can be applied to many songs.

From there, you will discover why those five chord shapes are so important and how theCAGED system allows you to find major and minor chords in different areas of the fretboard.

You will also learn how to expand basic chords with

✨ Sus2 and Sus4 chords

✨ Essential 7th chords

✨ Add9 chords

✨ Major and minor CAGED shapes

✨ Practical fingerpicking patterns

The goal is not to overwhelm you with unnecessary theory. Each concept is demonstrated directly on the guitar so you canunderstand it, hear it and apply it.

Put Everything Into Music

In the fingerpicking section, you will take the techniques you have learned and apply them to complete musical examples, including

✨Amazing Grace

✨How Great Thou Art

✨What a Friend We Have in Jesus

These lessons help you move beyond simply memorizing shapes and begin using chords and fingerpicking in real music.

Who this course is for
⭐ Absolute beginners and early acoustic guitar players who want to master chords, strumming and CAGED, and learn new songs without relying on song-by-song tutorials

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Category: Tutorials

AI Project Management: Deliver AI Products That Ship
AI Project Management: Deliver AI Products That Ship
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 10m | Size: 1.39 GB

Techniques and Strategies for Successful AI Product Delivery

What you'll learn
Run AI initiatives through a four-phase framework (Intake, Design & Build, Readiness & Release, Monitoring) with clear go/no-go gates
Frame AI opportunities with a measurable value hypothesis, explicit scope, a risk tier, and a governance path before any build begins
Manage AI-specific risks such as hallucinations, agent autonomy, and drift using evaluation datasets, human-in-the-loop design, and red teaming
Release and operate AI products with ring-based rollouts, a health dashboard, AI incident playbooks, and keep/change/retire reviews

Requirements
No AI experience needed. Project Management , Program Management, Business Process skills are helpful.

Description

Most AI projects never make it to production. This course teaches you how to deliver the ones that do.
Companies are spending record amounts on AI, yet about 95% of enterprise GenAI pilots show no measurable impact on profit (MIT NANDA, 2025), and more than 80% of AI projects fail, twice the rate of other IT projects (RAND). The technology is rarely the problem. The problem is delivery.

AI products behave differently from traditional software. They give plausible answers that are sometimes wrong, they depend on data, and they change over time. Agents go further: they take actions in real systems. Pure waterfall breaks down because you can't specify accuracy up front. Pure agile breaks down because leadership, risk, and compliance teams need evidence before they approve a release.

This course gives program and project managers a practicalAI Delivery Framework that bridges both worlds. Executives get gates and evidence, and teams keep room to iterate.

What you'll learn
-Why AI delivery is unique: hallucinations, agent autonomy, human-in-the-loop design, evaluation, drift, and adoption

-Phase 1, Opportunity & Intake: turn vague AI ideas into scoped, measurable initiatives with a risk tier and a governance path

-Phase 2, Design & Build Iterations: make the four design decisions that shape every AI product, run a four-lane backlog, and apply an "AI Definition of Done" that gathers evidence as you build

-Phase 3, Readiness & Release: stress testing, red teaming, operational and people readiness, ring-based rollouts, and a documented go/no-go decision

-Phase 4, Monitoring & Evolution: one dashboard that answersIs it good? Is it working? Is it used? Is it safe? , plus drift detection, AI incident playbooks, and keep/change/retire reviews

See it applied
You'll follow a real-world initiative through all four phases and see every deliverable along the way: opportunity briefs, charters, evaluation plans, readiness checklists, rollout plans, and monitoring dashboards.

Make it stick
The course closes with concrete steps for your first week and first month, and the four traps that catch teams adopting a new framework.

No coding required. The framework works alongside the methodology you already use (Agile, Waterfall, SAFe, or hybrid) rather than replacing it.

About your instructorsZorina Alliata is Director of AI Enablement and AI Adjunct Faculty at Georgetown University and OPIT. She helps enterprises move AI from pilot to production, people first.Lyuba Berzinis the co-founder of DeepPlum AI, a consulting company advising small and medium business of using AI efficiently.

Who this course is for
Program and project managers who have been handed an AI initiative and need a proven way to take it from idea to production
Delivery leads and PMO leaders who need gates, evidence, and governance for AI work without slowing down their agile teams
Scrum masters and agile coaches supporting teams that build AI products, agents, or GenAI features
Managers in regulated industries (finance, insurance, healthcare, automotive) who must deliver AI that stands up to compliance and audit
Experienced project managers who are new to AI. No coding or data science background is required.

Homepage

https://www.udemy.com/course/ai-project-management-deliver-ai-products-that-ship/





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Category: Tutorials

AI Forward Deployed Engineer Extensive Program
AI Forward Deployed Engineer Extensive Program
Published 10/2026
Created by Skill Surger
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 153 Lectures ( 22h 23m ) | Size: 21.7 GB

Build, deploy, secure and operate production-grade GenAI, RAG and agentic AI systems as a Forward Deployed Engineer.

What you'll learn
⚡ Understand AI, especially Gen AI from beginner to advanced, in both conceptual and hands on way
⚡ Build production-ready Python services and REST/GraphQL APIs for AI applications.
⚡ Explain transformer and LLM internals well enough to make model, context and serving decisions.
⚡ In depth topics deep dive on Gen AI like RAG, Fine tuning, Agentic AI, long running agents, MCP/ A2A
⚡ Lead the FDE consulting lifecycle from technical discovery and architecture through UAT, ROI and executive handoff.
⚡ Secure GenAI applications with SSO, RBAC, PII controls, sandboxing, guardrails and prompt-injection defenses.
⚡ Optimize inference for latency, throughput and cost using caching, batching, quantization and parallelism.
⚡ Lead the FDE consulting lifecycle from technical discovery and architecture through UAT, ROI and executive handoff.

Requirements
❗ Basic programming knowledge in Python and familiarity with SQL, APIs and Git.
❗ A laptop or development environment capable of running Python and Docker.
❗ Willingness to debug real systems and work through hands-on engineering exercises.

Description
This course contains the use of artificial intelligence.

Master Enterprise Generative AI Engineering: From Foundations to Production-Ready AI Systems and Forward Deployed Engineering (FDE)

Are you ready to move beyond AI demos and build enterprise-grade Generative AI solutions that solve real business problems?
This comprehensive, hands-on program is designed to equip aspiring AI engineers, software developers, solution architects, technical consultants, and Forward Deployed Engineers (FDEs) with the practical skills required to design, develop, deploy, optimize, and maintain production-ready Generative AI applications.

Starting with essential foundations in Python, APIs, cloud computing, machine learning, and deep learning, you will progressively explore Large Language Model (LLM) architectures, transformer fundamentals, tokenization, embeddings, context engineering, and prompt optimization.

You will learn to build sophisticated Retrieval-Augmented Generation (RAG) applications, implement hybrid search and reranking strategies, work with vector databases, develop multimodal AI solutions, and customize models using techniques such as LoRA, QLoRA, and supervised fine-tuning.

The course then advances into Agentic AI and autonomous systems, where you will design intelligent agents capable of reasoning, planning, using tools, maintaining memory, and executing complex workflows. You will explore modern interoperability approaches, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication, to integrate AI agents with enterprise applications and services.

Beyond development, you will gain practical experience with enterprise AI security, authentication, authorization, guardrails, evaluation frameworks, observability, LLMOps, inference optimization, scalability, latency reduction, and cost management.

What makes this program distinctive is its emphasis on the complete Forward Deployed Engineering lifecycle.
You will learn how to translate customer requirements into technical architectures, build proofs of concept, integrate solutions with enterprise infrastructure, evaluate production readiness, manage deployments, and demonstrate measurable business value.

Throughout the course, you will apply your knowledge through practical exercises, real-world enterprise scenarios, and implementation-focused projects.

By the end of the program, you will have completed two portfolio-ready FDE capstone projects, demonstrating your ability to engineer secure, scalable, reliable, and cost-efficient Generative AI systems.

Whether you want to become a Generative AI Engineer, AI Solutions Architect, Agentic AI Developer, or Forward Deployed Engineer, this course provides a structured pathway from foundational knowledge to enterprise AI implementation skills.

Go beyond prompting. Learn to engineer, deploy, and deliver Generative AI solutions for the real world.

Who this course is for
⭐ Beginners to advanced career people who want to pursue career in AI, especially Gen AI
⭐ Software engineers and backend engineers moving into Generative AI
⭐ AI/ML engineers who want production, integration and enterprise deployment skills.
⭐ Solution architects and technical consultants preparing for Forward Deployed Engineer roles.
⭐ Technical leaders who need an end-to-end understanding of enterprise GenAI and agentic systems
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Category: Tutorials

[img][/img]
AI and Fintech
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 27m | Size: 461.68 MB

Learn AI in FinTech, financial services use cases, banking innovation, implementation challenges, and future trends

What you'll learn
Understand AI and FinTech fundamentals and explore how artificial intelligence is transforming financial services.
Explore AI in FinTech use cases, including applications across banking, finance, customer services, risk, and financial operations.
Analyze the opportunities and challenges of combining AI and FinTech and understand key considerations for implementation.
Examine AI-powered innovation in banking and finance and explore emerging trends shaping the future of FinTech.

Requirements
No specific prerequisites are required. A basic understanding of AI, FinTech, banking, or financial services may be helpful but is not necessary. The course is suitable for professionals interested in understanding how AI is being applied across the FinTech industry.

Description
Explore the Impact of AI on FinTech and Financial Services

Artificial intelligence is transforming financial services by enabling smarter decision-making, improving operational efficiency, strengthening risk management, and creating more personalised customer experiences. This AI and FinTech course explores how these technologies work together and the opportunities they create for the financial industry.

What You'll Learn in This AI and FinTech Course

You'll begin by exploring the fundamentals of artificial intelligence and financial technology, building an understanding of how their combination is changing traditional banking and financial services.

Next, you'll examine practical AI in FinTech applications across financial operations, customer services, data analytics, fraud detection, and risk management. Real-world examples will help you understand how organisations use AI to improve services, streamline processes, and support better business decisions.

The course also examines the challenges and opportunities associated with adopting AI in FinTech. You'll explore implementation considerations, potential limitations, and the importance of evaluating AI solutions before integrating them into financial operations.

You'll then discover how AI-powered innovation is influencing banking and finance, including emerging approaches to delivering financial services and improving organisational performance. Finally, you'll explore future predictions and trends shaping the relationship between artificial intelligence and FinTech.

Who Should Take This Course?

This course is suitable for banking and finance professionals, FinTech specialists, innovation managers, business analysts, executives, entrepreneurs, and financial regulators interested in technology-driven transformation.

No specific prerequisites are required. Basic familiarity with AI, FinTech, or financial services may be helpful but is not essential.

By the end, you'll have a stronger foundation for evaluating AI applications, understanding their business value, and identifying opportunities for responsible AI adoption in financial services.

Who this course is for
Senior executives and decision-makers in financial services
FinTech professionals and innovation managers
Banking and finance professionals
Business professionals and analysts
Professionals interested in AI in FinTech
Learners looking for an AI and FinTech course online
Anyone interested in the intersection of artificial intelligence and financial technology

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Category: Tutorials

Agile & Scrum Governance for Non-Technical Business
Agile & Scrum Governance for Non-Technical Business
Published 10/2026
Created by Dr. Himani Vashishta
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 31 Lectures ( 3h 11m ) | Size: 4.4 GB

Master Lean-Agile Operations, Scrum Ceremonies, OKRs, and Risk Governance for Marketing, HR, Finance, and Legal

What you'll learn
⚡ You will adapt Agile and Scrum principles directly to non-technical business operations.
⚡ You will prioritize departmental backlogs based on business value, urgency, and cost of delay.
⚡ You will run crisp, 15-minute daily standups focused on unblocking work rather than reciting status.
⚡ You will structure high-impact, slide-free sprint showcases that engage executive leadership.
⚡ You will conduct actionable retrospectives that identify root causes and drive continuous improvement.
⚡ You will define precise Acceptance Criteria and Definitions of Done for non-technical deliverables.
⚡ You will balance team capacity and reduce burnout using work-in-progress limits and flow metrics.
⚡ You will resolve cross-departmental dependencies across legal, procurement, and shared enterprise services.
⚡ You will align annual strategic objectives and quarterly OKRs with actionable bi-weekly sprint goals.
⚡ You will assemble and execute a customized 90-day Agile governance charter for your own business team.

Requirements
❗ Basic familiarity with day-to-day corporate workflows, departmental reporting, and team collaboration.
❗ No prior coding experience, technical engineering background, or software development knowledge is required.
❗ An open mindset ready to shift from command-and-control task management to outcome-driven autonomy.

Description
"This course contains the use of artificial intelligence.

Most organizations preach enterprise agility, yet non-technical departments remain trapped in endless status meetings, shifting priorities, and rigid waterfall approvals. Agile and Scrum are not exclusively software tools—they are adaptive management operating systems engineered to eliminate corporate bottlenecks and accelerate value delivery across all business functions.

Agile & Scrum Governance for Non-Technical Business Teams delivers an end-to-end operational blueprint tailored specifically for non-developers. Across 30 modules, this course translates traditional agile theory into actionable execution strategies for marketing campaigns, talent acquisition pipelines, financial forecasting, and legal compliance workflows. You will master lightweight governance models, manage cross-functional dependencies, set clear decision rights using reimagined RACI frameworks, and steer execution using objective flow metrics rather than subjective status decks.

By enrolling, you gain access to practical toolkits, real-world operational templates, and a step-by-step capstone roadmap to establish an auditable 90-day team governance charter.

Key Takeaways
✨De-Jargonized Frameworks: Master core Scrum roles, artifacts, and ceremonies without software development terminology.

✨Streamlined Decision Rights: Eliminate steering committee gridlock using modern delegation and decentralized governance frameworks.

✨Strategic Execution Alignment: Directly link high-level quarterly OKRs to daily sprint goals and backlogs.

✨Audit-Proof Operational Agility: Embed compliance, risk mitigation (ROAM), and quality controls into a non-technical Definition of Done.

✨Executive-Ready Visibility: Replace 60-page slide decks with 1-page dashboards driven by lead time, cycle time, and throughput.

✨The 90-Day Team Charter: Leave with a concrete, ready-to-deploy operating governance charter for your department.

Who this course is for
⭐ Operations managers, department directors, and team leads in Marketing, Human Resources, Finance, and Legal.
⭐ Project managers and business analysts transitioning from traditional Waterfall to iterative Agile frameworks.
⭐ Aspiring Business Product Owners and Agile Facilitators orchestrating cross-functional operational squads.
⭐ Senior executives and PMO leaders seeking auditable governance models that preserve team autonomy.


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Category: Tutorials


Self-Hosting LLMs Securely: Hardening Ollama and vLLM
Self-Hosting LLMs Securely: Hardening Ollama and vLLM
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 109 Lectures ( 10h 33m ) | Size: 2.2 GB




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Category: Tutorials


The OWASP Top 10 - (2025) — AppSec & Architecture Masterclass
The OWASP Top 10 - 2025 — AppSec & Architecture Masterclass
Last updated 12/2025
Duration: 6h 17m | .MP4 1920x1080 30fps(r) | AAC, 44100Hz, 2ch | 7.44 GB
Genre: eLearning | Language: English




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Category: Tutorials


Game Dev Essentials: Code Architectures for Indie Developers
Game Dev Essentials: Code Architectures for Indie Developers
Duration: 11h 24m | .MP4 1920x1080 30fps(r) | AAC, 44100Hz, 2ch | 5.70 GB
Genre: eLearning | Language: English




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Category: Tutorials


Become Web Design Pro With Figma In 2025
Become Web Design Pro With Figma In 2025
Published 9/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.49 GB | Duration: 14h 13m




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Category: Tutorials


TTC Video - How The Stock Market Works 720p
TTC Video - How the Stock Market Works
WEBRip | English | MP4 | 1280 x 720 | AVC ~2564 kbps | 29.970 fps
AAC | 126 Kbps | 44.1 KHz | 2 channels | 09:14:57 | 10.5 GB
Genre: eLearning Video / Investing, Business, Trading, Economics & Finance




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Category: Tutorials


Core Kubernetes
Core Kubernetes
by Jay Vyas, Chris Love

English | 2022 | ISBN: 1617297550 | 425 pages | True EPUB, MOBI | 8.43 MB




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Category: Tutorials


Observability with OpenTelemetry and Grafana
Observability with OpenTelemetry and Grafana
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 24m | 184 MB
Instructor: Glenn Versweyveld




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Category: Tutorials


Blender Essential: From Beginner to 3D Masterclass
Blender Essential: From Beginner to 3D Masterclass
Published 6/2024
Duration: 4h1m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.05 GB
Genre: eLearning | Language: English




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Category: Tutorials


Kali Linux & Shell Scripting: Learn Linux for Cybersecurity
Kali Linux & Shell Scripting: Learn Linux for Cybersecurity
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 51 Lectures ( 7h 48m ) | Size: 4.1 GB




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Category: Tutorials

IEC 61000-4-27 – Voltage Unbalance Immunity Testing Course
Published 10/2026
Created by Purankumar Gajera
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 9 Lectures ( 3h 58m ) | Size: 11.3 GB

Learn IEC 61000-4-27 voltage unbalance immunity testing, including test setup, procedures, generator verification,

What you'll learn
⚡ Explain the fundamentals of voltage unbalance immunity testing and understand its importance in electromagnetic compatibility (EMC) testing of electrical
⚡ Understand the key concepts and parameters of IEC 61000-4-27, including voltage unbalance, phase relationships, test levels, and relevant testing terminology.
⚡ Calculate and interpret voltage unbalance using the appropriate electrical parameters and understand how unbalanced three-phase voltages can affect equipment pe
⚡ Describe the step-by-step procedure for conducting voltage unbalance immunity tests in accordance with the applicable IEC 61000-4-27 requirements.

Requirements
❗ The course is suitable for students, electrical and electronics engineers, EMC engineers, laboratory technicians, quality assurance professionals, and compliance engineers who want to develop their knowledge of voltage unbalance immunity testing.

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

Welcome toIEC 61000-4-27: Voltage Unbalance Immunity Testing, a technical training course designed to help you understand the principles, test setup, procedures, and evaluation methods associated with voltage unbalance immunity testing.

Voltage unbalance is an important power quality condition that can affect the operation and performance of electrical and electronic equipment connected to three-phase power systems. Understanding how equipment responds to voltage unbalance is essential for engineers and professionals involved in electromagnetic compatibility (EMC) testing, product development, laboratory testing, and compliance assessment.

This course introduces the key concepts associated with IEC 61000-4-27 and explains the voltage unbalance immunity testing process in a clear, structured, and practical manner. You will develop an understanding of the technical principles behind the test, the role of test equipment, the preparation of test conditions, and the evaluation and documentation of test results.

What Will You Learn?

Throughout this course, you will explore the fundamentals of voltage unbalance and its relevance to equipment immunity testing. You will learn about the important electrical parameters, phase relationships, and test terminology associated with voltage unbalance.

The course also covers test setup considerations, test generator configuration, laboratory arrangements, and the sequence of activities involved in conducting an immunity test. You will develop an understanding of generator verification, performance checks, equipment behavior during testing, and the importance of recording test conditions and results accurately.

By the end of the course, you will have a structured understanding of the voltage unbalance immunity testing process and the technical considerations involved in evaluating the performance of electrical and electronic equipment.

Topics Covered

The course covers voltage unbalance fundamentals, key concepts and parameters of IEC 61000-4-27, voltage unbalance calculations and interpretation, test equipment and laboratory setup, test generator configuration and verification, immunity test procedures, equipment performance evaluation, and test documentation and reporting considerations.

Who Should Take This Course?

This course is suitable for electrical and electronics engineering students, electrical engineers, EMC engineers, laboratory technicians, quality assurance professionals, compliance engineers, product testing professionals, and anyone interested in developing their understanding of voltage unbalance immunity testing.

It is particularly useful for professionals who work with electrical and electronic equipment, EMC laboratories, product compliance activities, or technical testing procedures.

Prerequisites

No previous experience with IEC 61000-4-27 is required. A basic understanding of electrical engineering concepts, including voltage, current, frequency, and three-phase systems, will be helpful. Beginners with an interest in EMC testing and electrical equipment performance are also welcome.

You do not need specialized laboratory equipment to participate in this course.

Why Take This Course?

This course provides a structured introduction to voltage unbalance immunity testing, helping you connect the underlying electrical principles with the practical considerations of test preparation, execution, and result evaluation. It is designed to support your technical learning and help you build a stronger foundation in EMC testing and compliance.

Enroll today and strengthen your understanding of IEC 61000-4-27 and voltage unbalance immunity testing.

Who this course is for
⭐ This course is designed for students, electrical and electronics engineers, EMC engineers, laboratory technicians, quality assurance professionals, and compliance engineers who want to develop their knowledge and practical understanding of voltage unbalance immunity testing in accordance with IEC 61000-4-27.

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Category: Tutorials

HTML & CSS Web Development + AI Workflows (Big Picture)
Published 10/2026
Created by ACHRAF ER-RAYA
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 11 Lectures ( 2h 21m ) | Size: 1.3 GB

Learn web development with HTML, CSS and AI. Build and publish a real responsive website in one weekend, no experience.

What you'll learn
⚡ Understand core web architecture, how browsers render pages, and client-server HTTP request cycles.
⚡ Build semantically structured, clean, and accessible web pages using modern HTML5 tags.
⚡ Style responsive, visually engaging websites using CSS3, modern Flexbox, and layout rules.
⚡ Add interactive logic and DOM event handling to web pages using plain jаvascript.

Requirements
❗ No prior coding experience required! You only need a computer (Windows, Mac, or Linux), an internet connection, and a free web browser.

Description
This course contains the use of artificial intelligence.

Master modern web development fundamentals combined with cutting-edge AI workflows. This comprehensive, practical guide takes you step-by-step through the core pillars of the web: HTML for structure, CSS for design, and jаvascript for interactivity. You will learn not only how to code from scratch, but also how to leverage modern artificial intelligence tools to write clean code faster, debug efficiently, and deploy real-world projects.

Who this course is for
⭐ Absolute beginners, aspiring web developers, entrepreneurs, and designers who want to learn HTML, CSS, jаvascript, and modern AI coding workflows.

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Category: Tutorials

Excel Pro: From Basics to Brilliance
Published 10/2026
Created by Raunak Singh
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 72 Lectures ( 6h 53m ) | Size: 5.4 GB

Master Excel fundamentals to advanced formulas, Pivot Tables, Power Query, charts, dashboards, and AI-assisted analysis

What you'll learn
⚡ Build a strong Excel foundation and confidently work with formulas, references, sorting, filtering, data validation, and data cleaning.
⚡ Use advanced Excel formulas including VLOOKUP, XLOOKUP, INDEX-MATCH, IF, IFS, SUMIF/SUMIFS, COUNTIF, AVERAGEIF, MAXIFS, MINIFS, and IFERROR.
⚡ Analyze and present data effectively using Pivot Tables, slicers, charts, advanced visualizations, and Power Query for data transformation and consolidation.
⚡ Use AI with Excel through Copilot and other LLMs to analyze data, generate ideas, and create simple macros using AI-assisted coding.

Requirements
❗ No prior Excel experience is required. You only need access to Microsoft Excel and a willingness to practice. The course starts from the basics and gradually moves to advanced analysis, Power Query, visualization, and AI-assisted Excel workflows.

DescriptionExcel Pro: From Basics to Brilliance is a practical, step-by-step course designed to help you become confident in Microsoft Excel, whether you are starting from scratch or looking to strengthen your existing skills.

The course begins with the foundations of Excel, including the interface, navigation, data types, formulas, and cell referencing. From there, you will learn how to organize and clean data using sorting, filtering, conditional formatting, data validation, Flash Fill, and text-cleaning techniques.

You will then move into some of the most important Excel functions used in real-world work, includingVLOOKUP, HLOOKUP, XLOOKUP, INDEX-MATCH, IF, IFS, AND, OR, SUMIF, COUNTIF, AVERAGEIF, MAXIFS, MINIFS, and IFERROR.

A major part of the course focuses on data analysis. You will learn how to create and analyzePivot Tables, use slicers and grouping, and quickly summarize large datasets. You will also learn how to present your analysis effectively usingcharts, maps, and advanced visualizations.

The course also introducesPower Query, helping you connect, clean, transform, consolidate, append, merge, and refresh data efficiently.

Finally, you will explore howAI is changing the way we work with Excel. You will learn how to use Copilot and other AI tools for analysis, idea generation, formula assistance, and even creating simple macros through AI-assisted coding.

Throughout the course, the focus is on practical application, not just theory. You will work through exercises and examples designed to help you use Excel confidently in academic, business, and professional settings.

By the end of the course, you will be able to clean, analyze, visualize, and transform data in Excel while also using modern AI tools to work faster and smarter.

Who this course is for
⭐ Students, working professionals, business users, aspiring analysts, and anyone who wants to become confident in Excel for data analysis, reporting, dashboards, automation, and practical workplace problem-solving.

Homepage

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Category: Tutorials

EMC Immunity Testing: IEC 61000-4-28 & IEC 61000-4-29
Published 10/2026
Created by Purankumar Gajera
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 9 Lectures ( 4h 24m ) | Size: 12.3 GB

Learn EMC immunity testing, test setups, generator requirements, frequency variations, DC voltage dips, performance

What you'll learn
⚡ Explain the fundamentals of EMC immunity testing and understand the purpose and application of IEC 61000-4-28 and IEC 61000-4-29.
⚡ Explain DC voltage disturbance immunity testing according to IEC 61000-4-29, including voltage dips, short interruptions, and voltage variations on DC input pow
⚡ Identify test equipment and generator requirements for conducting immunity tests, including waveform generation, power amplification, measurement instrument
⚡ Understand test setup and execution procedures, including Equipment Under Test (EUT) configuration, selection of operating modes, test parameter verification

Requirements
❗ This course is suitable for students, fresh graduates, electrical and electronics engineers, testing technicians, quality assurance professionals, and anyone who wants to develop a foundational understanding of IEC 61000-4-28 and IEC 61000-4-29.

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

Welcome to this comprehensive training course onIEC 61000-4-28 and IEC 61000-4-29, designed to help you understand the principles, procedures, test arrangements, and performance evaluation methods associated with power supply disturbance immunity testing.

Electrical and electronic equipment can be affected by variations in power supply frequency, DC voltage dips, short interruptions, and voltage variations. Understanding how equipment responds to these disturbances is important for engineers, testing professionals, product designers, and quality assurance teams involved in electrical product reliability and electromagnetic compatibility (EMC).

This course introduces the key concepts and technical considerations associated with these two IEC standards in a clear, structured, and learner-friendly manner.

What Will You Learn?

Throughout this course, you will explore IEC 61000-4-28, which addresses immunity testing for variations of power frequency on power supply input ports, and IEC 61000-4-29, which addresses immunity testing for voltage dips, short interruptions, and voltage variations on DC input power ports.

You will learn about power-frequency variation test levels, frequency deviations, transition periods, and the potential effects of frequency changes on electrical and electronic equipment. You will also study DC voltage disturbance testing principles, including the application of specified disturbances and the evaluation of equipment behaviour.

The course introduces test generator requirements, waveform generation, power amplification, measurement instrumentation, test setup configuration, and monitoring arrangements. You will also explore how to prepare the Equipment Under Test (EUT), select representative operating modes, establish performance criteria, and document test conditions.

Another important part of the course is performance evaluation. You will learn how to understand different equipment responses, including normal operation, temporary performance degradation, automatic recovery, recovery requiring operator intervention, and permanent loss of function. You will also examine the importance of recording observations and preparing technical test reports with a clear justification for the final assessment.

Topics Covered in This Course

✨ Fundamentals of EMC immunity testing.

✨ Introduction to IEC 61000-4-28 and IEC 61000-4-29.

✨ Power-frequency variation immunity testing.

✨ DC voltage dips, short interruptions, and voltage variations.

✨ Test levels, frequency deviations, and transition periods.

✨ Test generator architecture and performance characteristics.

✨ Measurement instruments and monitoring arrangements.

✨ Equipment Under Test configuration and pre-test planning.

✨ Test execution procedures and operating conditions.

✨ Equipment performance classification and recovery behaviour.

✨ Pass/fail evaluation and technical justification.

✨ Test documentation and report preparation.

Who Should Take This Course?

This course is suitable for electrical and electronics engineers, EMC engineers, testing laboratory personnel, quality assurance professionals, product compliance specialists, industrial automation engineers, engineering students, fresh graduates, and anyone interested in understanding immunity testing.

It is particularly useful for learners who want to develop their technical knowledge of power supply disturbance testing and become more familiar with the test principles and laboratory considerations associated with these IEC standards.

Prerequisites

No advanced EMC testing experience is required. A basic understanding of electrical and electronic engineering is helpful, especially familiarity with voltage, current, frequency, AC and DC power supplies, and electrical measurement concepts.

The course focuses on explaining the technical principles and procedures in an accessible way, making it suitable for both beginners and working professionals who want to strengthen their understanding.

Why Enrol in This Course?

This training provides a structured introduction to two important EMC immunity testing standards. It helps connect technical terminology and test parameters with generator configuration, measurement, equipment response, and reporting.

By completing the course, you should have a clearer understanding of the purpose of IEC 61000-4-28 and IEC 61000-4-29, the types of disturbances they address, and the key considerations involved in planning, performing, and evaluating immunity tests.

Build your technical knowledge, improve your understanding of EMC immunity testing, and strengthen your confidence in interpreting power supply disturbance test procedures.
Enrol today and begin your learning journey in IEC immunity testing!

Who this course is for
⭐ No advanced EMC testing experience is required. A basic understanding of electrical and electronic engineering is helpful, but the course is designed to introduce the key concepts in a clear and practical manner.

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Category: Tutorials

Elemental Rituals: Earth, Air, Fire & Water Magic
Published 10/2026
Created by Beti Paunoska
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 25 Lectures ( 1h 9m ) | Size: 1.2 GB

Learn the Foundations of Elemental Magic and Create Simple Rituals for Protection, Cleansing, Grounding, Manifestation

What you'll learn
⚡ How to harness the energies of Earth, Water, Fire, and Air for balance and inner peace.
⚡ Practical, simple rituals using everyday items (candles, water, salt, herbs, and incense).
⚡ Techniques for emotional cleansing and releasing old burdens and energetic cords.
⚡ Fire Element, Transformation & Protection, Cleansing with flame, lighting candles for transformation, and creating an energy shield.
⚡ Air Element , Mental Clarity & Breath: Working with the breath and scents/herbs, and clearing your thoughts and mental space.
⚡ How to create a powerful fiery shield of protection against external stress and negative influences.
⚡ Ways to independently create your own multi-elemental rituals for any life situation.

Requirements
❗ No prior experience in magic or energy work is required—the course is designed for absolute beginners and is easy to understand.
❗ An open heart, a desire for personal growth, and a little time for yourself.
❗ Common household items you likely already have: a candle, a glass of water, a little salt, a piece of paper, and a pen.

Description
This course involves the use of artificial intelligence.

I wholeheartedly congratulate you on deciding to gift yourself this course—*Elemental Rituals: Earth, Air, Fire & Water Magic*.

If you feel that you sometimes need a bit more balance, inner peace, protection from daily stress, or simply a way to reconnect with yourself, you have come to the right place. This course is designed as your personal guide—a small oasis where you will learn to work with the most powerful natural forces surrounding us every day: Earth, Air, Fire, and Water.

What will you learn, and what awaits you in the course?
Over the next few modules, we won't just be studying dry theory. On the contrary, this is a purely practical course.

Through the Earth element, you will learn how to stand firm when it feels like everything is slipping through your fingers, how to ground yourself when you are overwhelmed, and how to attract the energy of stability.

Through the Water element, we will delve into the world of emotions. Water helps us cleanse ourselves of whatever weighs us down, let go of things that no longer serve us, and awaken our intuition.

Through Fire, we will ignite inner transformation. Fire is a powerful cleanser—with its help, we will burn away blockages, create an energy shield, and restore our passion and zest for life.

Finally, we will work on our thoughts through the element of air. Air brings mental clarity, helping us clear the "fog" in our minds and transform our intentions into words and manifestation.

How can you get the most out of this course?
To gain the greatest benefit and achieve a truly transformative effect, I recommend a few simple steps

Go at your own pace: There is no need to rush. This isn't a race. Watch a lesson, reflect on it, and only then move on to the next one.

Be practical: Magic and energy don't live in books; they live in practice. When we reach the rituals, gather the necessary elements (a candle, some water, a stone or crystals) and perform the ritual along with me.

Create your own space: Find a quiet corner where no one will disturb you while you follow the course and work with the energy. Light a candle or some incense if you feel like it.

Trust yourself: In energy work, there is no strictly "right" or "wrong" way. Your intention is what carries the magic. Listen to your heart and your own intuition.

Once again, thank you for being here and for placing your trust in me. Get ready for a wonderful, soothing, and powerful journey through the four elements.

Note: Parts of this course were created with the assistance of artificial intelligence tools, carefully guided and reviewed by me to ensure accuracy and a supportive learning experience.

Who this course is for
⭐ Everyone who feel drained by the daily grind and want to reclaim their peace and inner strength.
⭐ For those interested in spiritual practices, intuition, personal development, and natural energy
⭐ For beginners looking for practical, warm, and easy ways to incorporate daily rituals without complicated rules.

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Category: Tutorials

Computer System Validation (CSV) Mastermind: Level 3
Computer System Validation (CSV) Mastermind: Level 3
Published 10/2026
Created by CSV Mastermind
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 11 Lectures ( 1h 32m ) | Size: 2.4 GB

Advanced CSV topics: data integrity, SaaS, change control, migration, supplier audits, API testing and CSA

What you'll learn
⚡ Explain ALCOA+ data integrity principles and validation considerations for spreadsheets and SaaS systems.
⚡ Distinguish configuration from customization and assess validation implications for computerized systems.
⚡ Plan lifecycle controls covering change control, periodic review, revalidation, data migration and supplier qualification.
⚡ Explore interface/API testing and computer software assurance, then connect concepts in a SaaS CAPA system case study.

Requirements
❗ CSV fundamentals and familiarity with validation planning and execution, such as CSV Mastermind Levels 1 and 2 or equivalent experience.

Description
Extend your computer system validation knowledge beyond the core project documentation and testing lifecycle. Computer System Validation (CSV) Mastermind: Level 3 explores the practical considerations that arise when computerized systems, data and suppliers change over time.

The course contains 11 lectures organized into three sections. Begin with ALCOA+ and data integrity, spreadsheet validation, and the distinction between configuration and customization. Then explore validation considerations for Software as a Service (SaaS) systems and how these topics connect with the broader CSV lifecycle.

The second section focuses on maintaining control after initial validation. Lessons address change control, periodic review and revalidation, data migration validation, and supplier qualification and audits. These topics help you think through the evidence, responsibilities and ongoing activities involved in maintaining a validated system.

The final section covers interface and API testing, introduces computer software assurance (CSA), and brings the course themes together through a recap case study involving a SaaS CAPA system. Follow the numbered lectures in order, take notes on the connections between topics, and revisit the case study as a way to organize your learning.

Ten downloadable Word resources are attached to relevant lectures. The selection includes electronic records and electronic signatures assessments, a functional design specification, a cloud validation guide, supplier evaluation, quality risk management and GAMP 5 supporting material. Validation planning, traceability and summary reporting templates accompany the case study for documentation practice.

This course is for QA, validation, IT and engineering professionals and learners who already understand CSV fundamentals and the validation lifecycle. CSV Mastermind Levels 1 and 2, or equivalent knowledge and experience, provide useful preparation. Level 3 develops your understanding of advanced topics without assuming that one template or approach fits every system.

Who this course is for
⭐ QA, validation, IT and engineering professionals who want to extend their CSV knowledge to SaaS, data integrity, lifecycle controls and assurance.

Homepage



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Category: Tutorials

Computer System Validation (CSV) Mastermind: Level 2
Computer System Validation (CSV) Mastermind: Level 2
Published 10/2026
Created by CSV Mastermind
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 28 Lectures ( 4h 2m ) | Size: 6 GB

Practical CSV: validation plans, URS, risk assessment, IQ/OQ/PQ, traceability, deviations and audit readiness

What you'll learn
⚡ Scope a CSV project, define responsibilities, and draft a validation plan with user requirements and acceptance criteria.
⚡ Apply high-level risk assessment, FMEA and GAMP 5 categorization to plan risk-based validation testing.
⚡ Develop IQ, OQ and PQ protocols, execute tests, capture evidence, and link requirements through a traceability matrix.
⚡ Document deviations and CAPA, prepare validation reports, organize records, and assess audit readiness and the validated state.

Requirements
❗ Basic familiarity with computer system validation, such as CSV Mastermind Level 1 or equivalent knowledge. Access to a word processor to use the templates.

Description
Build on your CSV fundamentals and work through the documentation and execution stages of a computer system validation project. Computer System Validation (CSV) Mastermind: Level 2 follows a seven-day learning path, from project kickoff and scope through testing, closeout and audit readiness.

Across 28 lectures, you will explore how system use and regulatory impact shape a validation effort, how responsibilities are defined, and how a validation plan connects with user requirements and acceptance criteria. The course then develops the risk assessment and testing strategy, including high-level risk assessment, risk-based testing and GAMP 5 categorization.

The practical sequence continues with installation, operational and performance qualification: IQ, OQ and PQ. You will study how to draft protocols and test cases, execute tests, capture evidence and screenshots, build a traceability matrix, and support QA review and sign-off. Later sections cover deviations, CAPA, validation summary reporting, archiving, common inspector questions and maintaining the validated state.

The course includes 22 downloadable, editable Word resources attached to relevant lectures. These include validation planning and requirements templates, risk assessment resources, IQ/OQ/PQ specifications, traceability and reporting templates, plus supporting guides for related CSV topics. Use these resources alongside the lessons to practice organizing your own documentation.

This Level 2 course is intended for learners who understand basic CSV concepts, including those who have completed CSV Mastermind Level 1 or have equivalent knowledge. It is relevant to QA, validation, IT and engineering professionals developing a practical understanding of the validation lifecycle. The final section introduces advanced concepts to support your next stage of learning.

Who this course is for
⭐ QA, validation, IT and engineering professionals, and learners with CSV fundamentals who want to practice validation documentation and execution.

Homepage




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Category: Tutorials

Angular AI: Generative AI Apps with Gemini, Genkit, Firebase
Angular AI: Generative AI Apps with Gemini, Genkit, Firebase
Published 10/2026
Created by ACHRAF ER-RAYA
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 16 Lectures ( 4h 26m ) | Size: 3 GB

Learn generative AI in Angular: build apps with Firebase AI Logic, Genkit, the Gemini SDK, and AI agents. Hands-on.

What you'll learn
⚡ Integrate Gemini SDK into Angular apps to build real-time streaming AI features and multi-modal chat interfaces.
⚡ Build serverless AI pipelines using Firebase AI Logic, Genkit, and modern Angular Signals for state management.
⚡ Construct multi-model provider-agnostic workflows to effortlessly switch between Gemini, Claude, and OpenAI.
⚡ Develop autonomous Agentic AI systems with client-side function calling to drive UI actions and application logic.

Requirements
❗ Basic understanding of Angular, TypeScript, and modern jаvascript (ES6+). No prior AI or Machine Learning experience required.

Description
This course contains the use of artificial intelligence.

Transform your Angular skills by mastering the integration of modern Generative AI features, cloud workflows, and autonomous agent systems.

Who this course is for
⭐ Angular developers and frontend engineers looking to integrate cutting-edge Generative AI features, Gemini models, and autonomous AI agents into real-world web applications.


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Category: Tutorials

AI Productivity & Automation with ChatGPT ; Copilot
AI Productivity & Automation with ChatGPT & Copilot
Published 10/2026
Created by Learn Edge
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 35 Lectures ( 2h 13m ) | Size: 4.9 GB

Boost productivity with ChatGPT and Copilot for writing, data analysis, automation, and communication

What you'll learn
⚡ Explain the complementary roles of ChatGPT and Microsoft Copilot in professional workflows.
⚡ Identify suitable AI tools for different tasks while considering privacy, security, and organisational requirements.
⚡ Use AI assistance to plan, draft, summarise, and refine professional documents and presentations.
⚡ Describe ways to use AI for email management, note organisation, and meeting follow-up.
⚡ Identify approaches to spreadsheet analysis, formula generation and debugging, data cleaning, and visualisation.
⚡ Map repetitive professional tasks into potential automation workflows with appropriate review points.
⚡ Adapt AI-assisted communication for different audiences, purposes, and professional tones.
⚡ Develop a personal approach to AI productivity, continuous learning, and responsible use.

Requirements
❗ No Prior knowledge
❗ No Required work Experience
❗ No Other mandatory preparation

Description
This course contains the use of artificial intelligence.

AI Productivity & Automation with ChatGPT and Microsoft Copilot

Artificial intelligence can help professionals create content, analyse information, improve communication, and manage repetitive tasks. The key is knowing which tool to use, how to guide it, and how to review its output responsibly.

In this course, you will explore how ChatGPT and Microsoft Copilot can complement each other in a modern professional workflow. You will learn how to select suitable AI tools for different tasks, work with Microsoft 365 applications, organise information, and plan practical AI-assisted workflows.

What you will explore
✨The modern AI workspace: Understand the different roles of ChatGPT and Microsoft Copilot, navigate their interfaces, and consider privacy and security when working with AI.

✨Microsoft 365 productivity: Explore AI-assisted drafting, summarisation, and editing in Word; presentation creation in PowerPoint; email management in Outlook; and note organisation in OneNote.

✨Data analysis: Learn about analysing spreadsheet trends, generating and debugging formulas, cleaning data, and selecting appropriate visualisations.

✨Workflow automation: Explore repetitive-task automation, process logic, Power Automate, custom GPTs, and AI assistants for routine professional work.

✨Professional communication: Practise adapting tone and style, preparing proposals and business reports, developing speaking content, and overcoming writer's block.

✨Virtual meetings: Explore meeting preparation, agenda creation, meeting support, summaries, action items, and task accountability.

✨Strategic AI implementation: Consider AI fatigue, information overload, continuous learning, personal productivity planning, and future AI automation trends.

What practical value can you gain?
You will develop a framework for selecting AI tools according to the task, preparing clearer instructions, reviewing AI-generated content, and identifying opportunities to improve everyday work. The course emphasises that AI should support professional expertise rather than replace human judgment.

Who should take this course?
This course is intended for professionals, office workers, managers, project coordinators, business teams, and other learners interested in using ChatGPT and Microsoft Copilot to support writing, analysis, communication, meetings, and routine workflows.

You will also explore why responsible information handling, output verification, and human oversight matter when integrating AI into professional activities.

Downloadable worksheets and practical templates accompany the course, helping you plan AI workflows, review outputs, organise meeting actions, and develop your own AI Productivity Playbook.

Begin building a more deliberate approach to AI-assisted work by learning when to use the right tool, how to review its output, and where human expertise remains essential.

Who this course is for
⭐ Office and administrative professionals
⭐ Managers and team leaders
⭐ Business and project professionals
⭐ Professionals who regularly prepare presentations or reports
⭐ Learners interested in practical AI productivity

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Category: Tutorials


Building AI Agents & Agentic AI System via Microsoft Autogen
Building AI Agents & Agentic AI System via Microsoft Autogen
2025-10-07
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 20.68 GB | Duration: 34h 29m




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Category: Tutorials











Akash Mastery - Holographic Healing 2
Akash Mastery - Holographic Healing 2 | 5,9 GB

Holographic Healing 2 – Akash Mastery
Most people arrive here having never heard the term.
Here’s the short version: it’s a structured, five-level practice for reading and shifting the patterns your body holds — emotional, mental, physical, spiritual —
taught the same way every time, so you can actually learn it.




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Category: Tutorials









Josh Gavin – Ascension Secrets
Josh Gavin – Ascension Secrets | 6.06 GB

Here’s the goal when you join:
After 30-Days: you will have a low-ticket funnel live that allows you spend $1 on ads and get $1 back the very same day while booking 20% of your buyers onto a sales call.




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Category: Tutorials


THE HACKERS LEGACY 2026
5.2 GB | 13min 6s | mkv | 1920X1080 | 16:9
Genre:eLearning |Language:English




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Category: Tutorials










AI Marketing Mafia - The AI UGC System
AI Marketing Mafia - The AI UGC System | 577 MB

AI UGC: The Exact System for AI UGC Videos That Look 100% Real





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Category: Tutorials


Math 0-1 Matrix Calculus in Data Science & Machine Learning
2.76 GB | 22min 36s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English




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Category: Tutorials


Linux NetWorking - Basics and Beyond
3.07 GB | 17min 31s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English




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Category: Tutorials


Pluralsight First Look OpenAI Astra 2026
67.75 MB | 2min 32s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English




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Jordan Rafealov – AI Systems Society
Jordan Rafealov – AI Systems Society | 11.1 GB

What you get:
Offer systems: offer builder, AI report builder, podcast kit ($997)
Marketing systems: lead machine, one-sentence email set-up, AI sales rep ($4,997)




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Nick Sabatalo – AI Production 2026 (Yearly Membership)
Nick Sabatalo – AI Production 2026 (Yearly Membership) | 10.9 GB

Members are getting over 1M views on AI films
+ getting paid $3k - $10k to create for clients.






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