S A N

File Name:   GenAI & AI Agents for Java Spring Boot Devs | Copilot,Claude Content Source:   https://www.udemy.com/course/generative-ai-agentic-ai-agents-claude-code-copilot/ Genre / Category: Premium courses Password:  
Original Price:   $49 Language: ENGLISH
 
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ABOUT THE COURSE:
Most AI courses teach you to use AI tools. This one teaches you to build AI agents that do engineering work autonomously — running in your CI pipelines, reacting to events, and fixing problems without waiting for you.
This is a hands-on course for freshers-mid-to-senior software engineers ready to move from AI user to AI agent builder.
You won't be building toy demos. Every agent in this course solves a real problem: automated PR reviews, slow query detection, with human approval gates, and more. Each build introduces a distinct architectural pattern you can adapt to your own stack.
What you'll learn
How LLMs actually work: context windows, hallucinations, token limits, and why it matters when you're building agents, not just chatting
Prompt engineering that holds up in production agent contexts
Claude Code: terminal-native agentic coding with filesystem ownership and MCP integration
GitHub Copilot: IDE-native and GitHub Actions agentic workflows
OpenAI Codex: async task delegation with PR-based output
Google Antigravity / Google Gemini: multimodal terminal input for Google ecosystem teams
MCP servers: extending your agents with custom tools and external integrations
n8n: event-driven orchestration that connects your agents to the rest of your workflow
JetBrains AI: Run all AI tools inside IntelliJ IDEA
Who this is for
Software engineers or Freshers who want to build and deploy real AI agents
Java and Spring Boot developers integrating AI into existing backend systems
DevOps and cloud engineers looking to automate repetitive operational work
Any developer tired of demos and ready to run agents in actual CI/CD pipelines
Requirements
Comfortable with at least one backend language (Java or Spring Boot experience is a plus)
No prior AI or machine learning experience needed

File Name:   Two Days Gen AI Mastermind International By Outskills Content Source:   N/A Genre / Category: Premium courses Password:  
Original Price:   ₹10,000 Language: ENGLISH
 
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Complete 22 Hours+ AI Training Program Master Al to become 10x more efficient, improve productivity and future proof career!

File Name:   React JS Masterclass: Zero To Job Ready With 10 Projects Content Source:   https://www.udemy.com/course/complete-reactjs-masterclass/ Genre / Category: Premium courses Password:  
Original Price:   $49 Language: ENGLISH
 
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ABOUT THE COURSE:
Welcome to React JS Masterclass, one single course to start your React journey as a beginner step-by-step. This course touches on each and every important topic through concept explanation, documentation, and implementation. The entire course is designed for beginners with one goal in mind, to learn concepts and build React projects.
Throughout the course, we will explore the most important React topics step-by-step:
JSX and components
State and props
Event handling
Built-in hooks (e.g. useState, useEffect, useCallback, useRef)
Working with forms, validations, and handling form data.
Client-side routing with React Router
Work with multiple API and handle data for projects
Integrating with other libraries and frameworks (e.g. Redux)
Testing and debugging React applications using popular libraries like Jest, RTL and React DevTools.
DOM manipulation and manipulating the Virtual DOM
Server-side rendering
Optimizing the performance of React application
Best practices for structuring and organizing React projects
Building and deploying production-ready React applications, including code splitting and optimization techniques.
Other Concepts:
Building and using advanced Custom Hooks
Styling with Tailwind CSS
Integrating Context & Reducers
Building mock backend with JSON Server & JSON Server Auth
Integrating Firebase storage as well as authentication
Project deployment on Netlify using Git & Github
Integrating external libraries: Toastify & React Skeleton
 
Why this course?
Complete course is focused on the concept learning approach, you learn every concept through a logical and visual learning approach.
Learn all important concepts in the simplest possible way with examples and real-life projects.
You need HTML, CSS and JavaScript knowledge, we will cover everything about React step-by-step from scratch.
The course is designed for developers who have some experience with JavaScript and web development and want to learn how to build dynamic, responsive user interfaces using React.
------------------
After completing this course you will be ready to work as an Intern, Fresher, or Freelancer and you will also be able to implement everything yourself! Most importantly you will have the potential to build, test and deploy your own projects. 

File Name:   Context Engineering Content Source:   https://www.manning.com/books/context-engineering Genre / Category: E-Books Language: ENGLISH Price:   $35.99  
ABOUT THE E-BOOKS
The responses from large language models (LLMs) are more accurate, consistent, and explainable when you provide specific relevant information, or context, to support your prompts. Context engineering is the discipline of selecting, organizing, updating, compressing, and prioritizing the precise context a model needs to generate accurate responses. This book shows you how to combine well-designed prompts with smart search, content filtering, and advanced RAG techniques incorporating many types of stored data to create reliable responses in your AI applications.

Because context engineering is typically implemented programmatically, automation is essential as applications evolve from simple prompts to workflows, agents, and agentic systems. Context engineering is particularly critical with the rise of autonomous agents and context windows that can take in a million or more tokens. Irrelevant or poorly selected context raises the chance of hallucinations, brittle agents, and unpredictable outputs. In Context Engineering, author Boni García helps you design an AI’s information environment with the same rigor as your codebase. It unifies every part of the context stack—including RAG, memory, and harness engineering—into one coherent discipline.

The book takes you hands on with the entire context engineering stack. You'll learn how to use tools such as DSPy, LangChain, CrewAI, and LlamaIndex to build context-aware AI applications with frontier models from OpenAI, Anthropic, and Google. Because each chapter builds intuition first and ends with a practical hands-on section grounded in real tools, you’ll come away thinking like a system designer who knows exactly what enters the context window, what stays out, what gets retrieved just in time, and what becomes persistent memory or state.
what's inside

Design instructions and agent skills to govern model behavior Ground responses with RAG and external knowledge retrieval Integrate tools and the Model Context Protocol (MCP) Manage memory and state in agents and agentic systems Orchestrate multi-agent coordination and interoperability Deliver production-ready AI systems through evaluation, observability, governance, and operations

File Name:   Codex CLI - Agentic Engineering from First Principles Content Source:   https://leanpub.com/codex-cli Genre / Category: E-Books Language: ENGLISH Price:   $19.99  
ABOUT THE E-BOOKS
Codex CLI: Agentic Engineering from First Principles is the most comprehensive guide to agentic software engineering with OpenAI's command-line coding agent. Across 28 chapters in six parts, you'll move from first principles to production workflows and team-scale practice: prompting and AGENTS.md configuration, approval modes and kernel-level sandboxing, model selection, context and cost management, MCP servers, hooks, skills, sub-agents and orchestration, worktrees, CI/CD integration, security hardening, and enterprise deployment. Later chapters cover debugging and testing agentic workflows, AI code review, practical engineering guides (codebase migration, backend, frontend, and infrastructure as code), and the bigger picture: benchmarks, competing tools, harness engineering, and how to structure an agentic engineering team.
 
Whether you're a solo developer looking to multiply your output or an engineering lead rolling out agentic workflows across a team, this book gives you the mental models and practical techniques to work effectively with AI coding agents.
 
Written by Daniel Vaughan and drawing on real-world experience and community insights, it equips every chapter with learning objectives, worked examples, and hands-on exercises.

File Name:   AWS Bootcamp: Build AI Apps with AWS Bedrock Content Source:   https://zerotomastery.io/courses/learn-aws-bedrock/ Genre / Category: Coding Courses Language: ENGLISH Original Price:   $249  
ABOUT THE COURSE:
AWS Bedrock is Amazon Web Services' fully managed platform for building Generative AI applications. It lets you work with powerful foundation models while abstracting away infrastructure complexity.
This course will take you from zero to building production-ready AI applications...even if you're completely new to Generative AI!
Projects will integrate AWS Bedrock with API Gateway, AWS Lambda, S3, AgentCore, Postman, and other essential AWS services.
Why This AWS Bedrock Course?
Well, because it's the best, most up-to-date, and practical AWS Bedrock course online that lets you get hands-on by building six AWS Bedrock projects so that you can actually use your skills in the real-world.
But of course we're biased. So here's some more details about what you'll learn in this AWS Bedrock course so that you can make up your own mind:
1. AWS Bedrock & Generative AI Foundations Understand what AWS Bedrock is, how it fits into the Generative AI ecosystem, and how modern AI applications are built using managed foundation models — explained in a beginner-friendly way.
2. Large Language Models (LLMs) Learn how LLMs work, what they excel at, and where their limitations lie. Explore real-world use cases including document understanding, chat systems, and code generation using Bedrock-hosted models.
3. Fine-Tuning & Reinforcement Fine-Tuning (RFT) Go beyond basic prompting. Learn how models can be improved using fine-tuning and RFT with human feedback, when and why to use these techniques, and how they fit into modern AI workflows.
4. Prompt Management & Optimization Design, manage, version, and optimize prompts for consistent, reliable results. Learn why prompt management becomes critical as applications scale and evolve.
5. Intelligent Model Routing Discover how to route requests intelligently between different models based on task type, cost, or quality — choosing the right model at the right time.
6. Batch Inference & Data Automation Process large volumes of data efficiently using batch inference, and automate document and data workflows using AWS Bedrock for scalable AI processing.
7. Image Generation with Diffusion Models Explore image generation concepts using diffusion models — including how to generate, control, and deploy image-based AI features at scale.
8. AI Safety, Evaluation & Watermark Detection Evaluate your LLMs for quality, accuracy, and toxicity. Understand AI safety concepts including watermark detection and responsible AI usage.
9. Serverless Deployment & Scaling Deploy Generative AI applications using a fully serverless stack — AWS Lambda, API Gateway, S3, and Bedrock — and scale AI applications without managing any servers.
10. AgentCore: From Prototype to Production Take your agents beyond local development. Learn what Amazon Bedrock AgentCore is, deploy agents on AgentCore Runtime, and monitor every tool call and decision with built-in observability — no servers to manage, production-ready from day one.
11. Agent Memory — Short-Term & Long-Term Give your agents the ability to remember. Implement short-term memory using get_last_k_turns so agents track conversation context within a session. Then add long-term memory with extraction strategies that automatically capture semantic facts, user preferences, and session summaries — so your agents personalize every interaction, even across sessions.
12. Guardrails & Responsible AI Learn how to use Amazon Bedrock Guardrails to add safety controls, filter harmful content, reduce risk, and enforce responsible AI behavior across your applications.
13. Model Comparison Compare different foundation models based on quality, speed, cost, capabilities, and use case fit so you can choose the right model for each task.
14. AWS Model Usage Quotas Understand AWS Bedrock model usage quotas, request limits, throttling, and how quotas affect real-world production applications.
15. Inference Profiles Learn how inference profiles work in Amazon Bedrock and how they help with scalable, reliable, and cross-region model invocation.
16. Marketplace Models on AWS Bedrock Explore Amazon Bedrock Marketplace Models and learn how to access additional foundation models beyond the default Bedrock catalog.
17. Advanced Bedrock Features Go beyond basic prompting and deployment by working with more production-focused AWS Bedrock capabilities used in real AI systems.

File Name:   The Complete Guide to Chess: From Beginner to 1600 ELO Content Source:   https://www.udemy.com/course/the-complete-beginners-guide-to-chess/ Genre / Category: Premium courses Password:  
Original Price:   $49 Language: ENGLISH
 
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ABOUT THE COURSE:
Welcome to The Complete Guide to Chess: From Beginner to 1600 ELO.
This comprehensive 40-hour chess masterclass is designed to take you from the rules of chess and basic piece movement through to openings, tactics, calculation, pawn structures, endgames, famous games, and practical improvement methods.
Created by FIDE Candidate Master Kingscrusher, this course gives you a structured journey through the full chess “value chain”: opening, middlegame, endgame, calculation, psychology, practical decision-making, and long-term improvement.
You will start with the foundations: how the board is set up, how the pieces move, how checks, checkmates, castling, captures, notation, tournament rules, wins, losses, and draws work. From there, the course builds progressively into the major areas every improving chess player needs to understand.
The course is organised around a “concentric circles” learning model, helping you revisit key ideas at deeper levels so that your chess understanding grows steadily and practically.
What You Will Learn
You will learn:
Chess rules, piece movement, notation, castling, checks, checkmate, and tournament basics
Opening principles such as development, centre control, king safety, and avoiding early mistakes
Opening traps including Fool’s Mate, Scholar’s Mate, Fried Liver ideas, Stafford Gambit traps, Vienna traps, Queen’s Gambit traps, Sicilian traps, and more
Practical opening systems such as the London System, Colle System, Torre Attack, King’s Indian Attack, Nimzo-Larsen Attack, and English setups
Major opening ideas from the French Defence, Sicilian Defence, Caro-Kann, Ruy Lopez, Italian Game, King’s Indian Defence, Nimzo-Indian, Slav Defence, Grünfeld Defence, and others
Exciting gambits including the King’s Gambit, Danish Gambit, Evans Gambit, Benko Gambit, Smith-Morra Gambit, Albin Counter-Gambit, Blackmar-Diemer Gambit, and more
Middlegame calculation methods including checks, captures, threats, forcing moves, common squares, and the weakness of the last move
Core tactics such as forks, pins, skewers, discovered attacks, deflections, decoys, removing the defender, interference, clearance, and x-ray tactics
Checkmate patterns including back rank mate, smothered mate, Anastasia’s mate, Arabian mate, Boden’s mate, Morphy’s mate, Opera mate, Légal’s mate, and many others
Pawn structures including doubled pawns, isolated queen’s pawns, backward pawns, hanging pawns, passed pawns, pawn breaks, holes, minority attacks, and thorn pawns
Essential endgames including queen mate, rook mate, two-rook mate, two-bishop mate, king and pawn vs king, opposition, triangulation, rule of the square, Lucena, Philidor, and Vancura defence
Famous instructive games from players such as Morphy, Steinitz, Lasker, Capablanca, Alekhine, Botvinnik, Tal, Petrosian, Fischer, Karpov, and Kasparov
Practical improvement tips including self-analysis, playing stronger opponents, choosing openings wisely, and developing a long-term training mindset
Chess ideas and games featured in Netflix’s The Queen’s Gambit, explained in detail
Why This Course Is Different
This is not a short “learn the rules” course. It is a complete beginner-to-intermediate chess curriculum designed to give you a broad and practical understanding of the game.
You will not only learn moves and patterns, but also how to think about chess: how to evaluate positions, spot tactical opportunities, avoid common mistakes, understand pawn structures, convert endgames, and connect the opening, middlegame, and endgame into one coherent whole.
Who This Course Is For
This course is ideal for:
Complete beginners who want a structured start in chess
Casual players who know the rules but want to improve seriously
Players aiming to build a foundation up to intermediate level
Learners who want a complete overview of openings, tactics, strategy, and endgames
Fans of The Queen’s Gambit who want to understand the chess ideas behind the series
Students who want to prepare for more advanced Kingscrusher chess courses
Whether you are starting from zero or looking to repair gaps in your chess understanding, this course is designed to help you build a strong foundation and progress confidently toward intermediate-level play.

File Name:   Master n8n AI Agents: Build & Sell AI Agents and Automations Content Source:   https://www.udemy.com/course/master-n8n-ai-agents-build-sell-ai-agents-and-automations/ Genre / Category: Coding Courses Language: ENGLISH Original Price:   $49  
ABOUT THE COURSE:
Master n8n AI Agents and Build a Profitable Automation Business
This comprehensive course teaches you how to build powerful AI agents and automation workflows using n8n which is open-source platform that's replacing expensive tools like Zapier and Make. You'll learn to create real business solutions that generate leads, automate sales, and deliver measurable ROI.
What You'll Learn:
You'll master n8n from the fundamentals through advanced implementations. Starting with basic concepts like nodes, APIs, and webhooks, you'll quickly progress to building sophisticated AI agents for lead generation, prospecting, enriching, sales automation, and business intelligence. The course covers cutting-edge topics including RAG implementations, MCP server integration, and voice AI automation.
Key Skills You'll Develop:
Build lead generation systems that find and qualify prospects automatically
Create AI voice agents for appointment booking and sales calls
Implement RAG systems with vector databases for intelligent automation
Connect n8n with several services including OpenAI, Google, and Claude
Design complete sales automation workflows that book real meetings
Set up self-hosted n8n to run unlimited workflows for free
Launch and price AI automation services for clients
Why Choose This Course:
Unlike basic automation tutorials, this course focuses on building AI agents that solve real business problems. You'll work with actual use cases like Google Maps lead scraping, LinkedIn automation, company research workflows, and AI voice agents. Every workflow is designed to deliver immediate business value.
Course Highlights:
The curriculum includes tons of ready-to-use workflow templates, covering everything from basic email automation to complex AI agent systems. You'll learn the trending "vibe coding" approach for rapid development, master prompt engineering for AI agents, and understand how to integrate reasoning models for smarter automation.
Practical Business Focus:
This isn't just about technology - it's about building a business. The final section provides a complete blueprint for launching your AI automation agency, including pricing strategies, client acquisition methods, and service packaging.
What Makes n8n Different:
n8n offers unlimited executions when self-hosted, advanced AI capabilities, complete data privacy, and an active open-source community. You'll learn to leverage these advantages to build solutions that would cost thousands of dollars per month with other platforms.
Where to Find n8n Files:
Complete working downloadable resources including blueprints, prompts, workflows and templates. You'll be able to work alongside me.
Take a look at our FREE PREVIEW lessons and get a feel for what you’ll learn!
Start Building AI Agents Today!
Don't hesitate; sign up right away to begin developing your AI Agents with n8n. This extensive course will teach you how to build intelligent AI Agents with n8n that can automate lead generation, sales operations, prospecting and enriching leads, scheduling, outbound and inbound lead generation method, and customer care for your company!
I'm excited to meet you in lesson 1!

File Name:   KK Create - Make Money from content - Live Workshop Content Source:   https://learn.kkcreate.in/web/checkout/698c4db3f42a7037f704e686 Genre / Category: Premium courses Password:  
Original Price:   ₹499 Language: HINDI
 
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ABOUT THE COURSE:
Want to earn money from your content?
Learn directly from creators who’ve built real businesses from content, not just views.
💰 Understand how money flows in the creator economy
🤝 Learn how brands think, spend, and choose creators
🧩 Create content and assets brands pay for
📩 Master outreach, pricing, and deal closing
📈 Turn one deal into repeat, long-term income
By the end of this workshop, you’ll have a clear monetisation roadmap, practical systems, and real-world frameworks you can apply immediately.

File Name:   SocketIO v4, with websockets - the details. Content Source:   https://www.udemy.com/course/socketio-with-websockets-the-details/ Genre / Category: Premium courses Password:  
Original Price:   $69 Language: ENGLISH
 
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ABOUT THE COURSE:
Websockets are one of the coolest api's to ever hit the web. They allow the browser real-time communication, bridging one of the last gaps in both human and web-based communication. Socket io is the king library that uses websockets under the hood. There's a good chance if you're reading this, you've heard about socketio. Maybe even done a tutorial on it. But how far did you get? In my experience, the vast majority of the material on the web goes no farther than a quick-start, instant chat app. You don't learn how anything works, never look at the docs, and are stuck at the end wondering what to do now. Is that all socketio can do? The remaining shred of material is waaay over everyone's head. The fact that the websocket API was standardized in 2011 and most developers still don't know how to use it is evidence of the gap.
This course is meant to alleviate that! It is not a quick start guide to socket IO. There are loads of those all over the Internet. You should definitely look elsewhere if you are wanting a 10 minute intro to the 3-4 things you need to know to make something quick. On the other hand, if you are looking to really learn one of the most awesome JavaScript libraries in socket io, you should stick around. Like Express and other JavaScript/Node pieces,  it's getting passed over in the wave to learn just enough to get to the term "full-stack developer." My main goal is to help you figure out how to go from being a good developer to a great developer. Understanding... not just knowing a few methods... of socketio is part of that! It even transcends the browser and node with implementations in most other languages, and even mobile/React Native. This means as you grow, you have the power of sockets without having to learn more than the socket io library.
I first used socketIO in 2013 for a tiny company directory app. I've been following since and have been frustrated that it hasn't gotten more mainstream notice because it opens the way for so many improvements to existing applications and obvious groundwork for new ones. Let's change that :) Prepare to for a detailed look at socketio and websockets and start going real-time.
Sections:
Introduction - course overview, github link, and the state of socketio and websockets
Before SocketIO... - TCP, network sockets, & a native websockets app
Socket.IO-101 - Why you'd want to use socketio (instead of just websockets), and how it works (simple chat app)
Socket.IO-201 - Making the chat app into a slack clone with namespaces and rooms
Project - real-time canvas game (agar.io-clone)
Project - Real-time performance data (uses React, Cluster, and the Cluster Module. Rotated Redis out until the new module is stable)
Supplemental - HTTP (for those in need of a review)
LEGACY - version 2 - Socket.IO-101
LEGACY - version 2 - Socket.IO-201
LEGACY - multi-player canvas game
LEGACY - Advanced Project
I hope to add sections for a streaming videos/socket.io-stream app, as well as a React Native app.

File Name:   Krish Naik - Building AI Agents & Agentic AI System via Microsoft Autogen Content Source:   https://www.udemy.com/course/building-ai-agents-agentic-ai-system-via-microsoft-autogen Genre / Category: Premium courses Password:  
Original Price:   $49 Language: ENGLISH
 
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ABOUT THE COURSE:
Welcome to “Building AI Agents and Agentic AI Systems Using AutoGen”, a hands-on, project-driven course designed to help you master the future of intelligent software: Agentic AI. As large language models (LLMs) become more powerful, the next evolution is enabling them to work collaboratively through AI agents—and this course is your complete guide to making it happen using Microsoft's AutoGen framework.
Whether you're a data scientist, ML engineer, AI researcher, or product builder, this course will take you step-by-step into the world of multi-agent AI systems. You’ll learn to design, build, and deploy AI agents that can autonomously plan, reason, and execute complex tasks by communicating with each other and interacting with external tools.
What you’ll learn:
Understand the fundamentals of Agentic AI and how it differs from traditional GenAI applications.
Explore the architecture of AutoGen and how it orchestrates multiple LLM-powered agents to collaborate effectively.
Build and customize various types of agents (e.g., UserProxyAgent, AssistantAgent, GroupChatAgent).
Implement multi-agent workflows that solve real-world problems with code generation, task breakdown, and dynamic decision making.
Integrate tools like web APIs, databases, and Python functions into your agent ecosystem.
Use AutoGen Studio for visual development and monitoring of agent interactions.
Optimize agents for cost, speed, and performance using configuration tuning and role specialization.
Deploy agentic systems for use cases like coding assistants, research bots, multi-agent chat applications, and automated task runners.
This course is project-focused—you won’t just learn the theory, you’ll build powerful agentic AI applications from scratch. You’ll understand how to design autonomous AI teams that mirror human workflows, assign responsibilities, communicate efficiently, and adapt to dynamic tasks.
We’ll also compare AutoGen with other orchestration frameworks like LangChain and CrewAI, giving you a well-rounded perspective of what tools to use and when.
Who should take this course?
This course is ideal for:
ML and AI professionals wanting to transition into LLM-powered agentic development.
Developers interested in building intelligent apps that go beyond chatbots.
GenAI enthusiasts eager to push the limits of LLM capabilities using agent collaboration.
Startup founders and product teams working on AI-first applications.
Students and researchers looking to build hands-on projects with cutting-edge agentic frameworks.
By the end of this course, you will have the confidence and skills to build, scale, and deploy AI agent ecosystems that can reason, act, and collaborate just like teams of humans—powered by the latest advancements in AutoGen and Agentic AI.

File Name:   Code with Harry - Ultimate Web Development Course 2026 - Build Modern Websites Content Source:   https://www.udemy.com/course/codewithharry-web-development-course/ Genre / Category: Premium courses Password:  
Original Price:   $49 Language: ENGLISH
 
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ABOUT THE COURSE:
To deliver the best learning experience, especially for beginners, it’s essential to introduce them to the most modern, complete, and industry-relevant tools in web development. Many old courses either overwhelm learners with outdated practices or skip over important real-world skills.
I created The Ultimate Web Development Course to bridge this gap. This course is carefully designed to take you from absolute beginner to job-ready developer by teaching you modern technologies like AI, best practices, and hands-on project-building skills that reflect how real websites and applications are built today.
Whether you're just starting out or looking to solidify your foundation with up-to-date tools, this course will equip you with everything you need to build professional-grade websites and applications with confidence.
My goal is to help you become a profitable, skilled, and independent web developer so you can confidently build projects, take on freelance work, or land a high-paying job and start making real money with your skills.
To help you get the most out of this course, I’ve structured it in a clear, step-by-step manner. Start from the first section and progress sequentially - don’t skip ahead. I’ve also included a handbook that contains all the code we write throughout the course. Use it to follow along, revise, and refer back whenever needed. Treat this course like a bootcamp: watch the videos, code along, and practice on your own. That’s the key to mastering web development.

File Name:   Python GUI Programming Using PyQt5 Content Source:   https://www.udemy.com/course/python-gui-programming-using-pyqt5/ Genre / Category: Premium courses Password:  
Original Price:   $69 Language: ENGLISH
 
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ABOUT THE COURSE:
Python programmers are among the highest paid developers on the planet.  Lots of programmers are trying to build an edge as Python developers in order to stand out of the crowd.
One of the best ways for you to do this is by being able to create applications in Python that are cross-platform, and have a graphical user interface (GUI).
This course will allow you to add GUI programming using PYQT5 to your box of tricks. 

PYQT is a set of bindings that enable you to use the QT toolkit.    QT was created nearly 25 years ago and is continually improved, and is one of the most popular toolkits of it's type available.   Many companies have turned to QT to bring cross platform capabilities to their applications. 
Programmers who are experienced with QT, and by extension PYQT are in high demand.
The latest version of PYQT is 5, so this course focuses on that version - PYQT5.
If you are looking to learn Python GUI programming and specifically QT and PYQT5 then this is the course for you.
Volkan Atış, your instructor is a very experienced developer, and knows Python GUI application development inside out.  He is here to pass on those skills to you.
Whats covered in the course?
Python GUI Programming using PYQT5.
Not only will you learn how to use Python to build Desktop applications, but Volkan will take you on a journey where you will also explore advanced GUI programming, creating actual Python applications, using Sqlite advanced database queries and loads more!
Key topics in the course include:-
PyQt5.
Python GUI programming (beginner and advanced).
Python advanced GUI programming.
Python PyQt5 widgets.
Creating real Python applications.
Sqlite advanced database queries.
Python PyQt5 module widgets.
 
What you will learn in this course?
You will learn how to build real GUI Python programs using PYQT5 and by the end of the course will be a super productive and skilled Python PYQT5 programmer.

Volkan Atış, your instructor is an expert Python developer so you can be assured you are learning from a true professional and learning the real-world skills you need to know to succeed.

File Name:   Harness Engineering & Agent Orchestration Content Source:   https://frontendmasters.com/workshops/harness-engineering/ Genre / Category: Premium courses Password:  
Original Price:   $390 Language: ENGLISH
 
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ABOUT THE COURSE:
The Course on Designing, Coordinating, and Operating AI Agents assists developers in mastering the key principles of creating reliable and scalable intelligent systems. The focus is on engineering practices and infrastructure components that ensure the stable operation of agent solutions in corporate and production environments.
The program is structured around modern approaches to creating AI agents that require memory, tools, execution control, and observability mechanisms. The key concept of the course is Agent Harness: an intermediary layer that provides agents with stable operations and secure integration with external systems.
 
Main Areas of Study
Architectures of AI applications and multi-agent systems
Management of memory, context, and state of agents
Durable Execution for long-term processes
Safe code execution in isolated environments
Organization of interaction and coordination of multiple agents
Practical Part
Each module is accompanied by real examples using TypeScript and Node.js, demonstrating the development, testing, and operation of intelligent systems. Participants will learn techniques for building fault-tolerant processes, automatic recovery, and management of tools within the agent environment.
 
Key Practices
Error handling and failure recovery
Organization of secure tool calls
Embedding humans in the decision-making loop (Human-in-the-Loop)
Modeling interaction of specialized agents
Who the Course Is For
The course is designed for specialists who want to design and implement modern corporate-level AI systems.
 
Recommended Level of Preparation
Confident proficiency in TypeScript and Node.js
Understanding of LLM API principles
Basic knowledge of agent cycle architecture
Experience in asynchronous programming and integration of external services
Especially Beneficial For
Full-stack developers
Engineers creating AI solutions
Technical leaders and architects
Learning Outcomes
After completing the course, participants will be able to design complex multi-agent systems, manage interactions between different types of agents, and implement proven engineering approaches to develop reliable AI applications.

File Name:   AI Coding for Real Engineers Matt Pocock Content Source:   https://www.aihero.dev/cohorts/ai-coding-for-real-engineers-m0k0w Genre / Category: Premium courses Password:  
Original Price:   $995 Language: ENGLISH
 
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ABOUT THE COURSE:
A two-week intensive course for developers who want to implement AI tools in real production: from context management and architectural planning to autonomous agents and effective code review.
 
Are you using AI correctly?
I am. And daily development with the help of neural networks has completely changed my perspective on modern engineering work.
 
The main thing I realized is that AI is both hype and a powerful tool. But the potential is unlocked only for those who possess the skill of systematic design.
 
Inexperienced use of AI (for example, Claude Code) creates technical debt and chaotic code. Developers usually fall into one of two traps:
 
Delegate too much. Fall into a mindless generative flow, creating spaghetti code.
Delegate nothing. Fear AI, keep everything in their head, and quickly burn out.
We propose an engineering path—a balanced working model where AI becomes a predictable tool, not a chaotic generator.
 
Course Program: From "Vibe-Coder" to AI‑Hero
In 2 weeks, you will go from chaotic requests to systematic automation. The program is divided into logical modules:
 
Course Modules
Pre-course: Rapid immersion into Claude Code, basics of LLM and the Explore/Build/Clear cycle.
Context Management: Working with configuration (AGENTS.md), custom skills, and targeted content delivery.
Architecture and Planning: PRD, multi-step plans, tracer bullets for solution testing.
Feedback Loops: How to build a constraint system ensuring the quality of output code.
Autonomous Work (AFK): Launching agents through Ralph loops with progress monitoring.
Product Design: How to combine research, prototyping, and engineering practices for mature IT solutions.
What will change in your work?
Before the Course
"YOLO" mode and chaotic code generation.
Confused codebase without architecture.
Either hundreds of useless tests or none at all.
Loss of understanding of one's own system.
AI that needs constant oversight.
After the Course
Sandboxes, constraints, and predictability of AI behavior.
Architecturally clean codebase with deep structure.
Testing at key boundaries of the system.
Control of structure and logic without overload.
A reliable AI agent to whom tasks can be delegated.
Why This Methodology Works
Engineering is a mindset, not an IDE. Tools change, but the foundation remains: communication, decomposition, systematic planning, and skill in managing complexity. These skills are equally effectively applied to working with both people and AI agents.
 
The Author's Personal Experience
Using Claude Code and established automation cycles, I single-handedly created a professional video editor and CMS on TypeScript/Effect.ts—over 1000 commits and 500+ tasks without sacrificing work and personal life.
 
Now, I want to share this superpower with you.

File Name:   PyTorch for Deep Learning Bootcamp Content Source:   https://www.udemy.com/course/pytorch-for-deep-learning/ Genre / Category: Coding Courses Language: ENGLISH Original Price:   $49  
ABOUT THE COURSE:
What is PyTorch and why should I learn it?
PyTorch is a machine learning and deep learning framework written in Python.
PyTorch enables you to craft new and use existing state-of-the-art deep learning algorithms like neural networks powering much of today’s Artificial Intelligence (AI) applications.
Plus it's so hot right now, so there's lots of jobs available!
PyTorch is used by companies like:
Tesla to build the computer vision systems for their self-driving cars
Meta to power the curation and understanding systems for their content timelines
Apple to create computationally enhanced photography.
Want to know what's even cooler?
Much of the latest machine learning research is done and published using PyTorch code so knowing how it works means you’ll be at the cutting edge of this highly in-demand field.
And you'll be learning PyTorch in good company.
Graduates of Zero To Mastery are now working at Google, Tesla, Amazon, Apple, IBM, Uber, Meta, Shopify + other top tech companies at the forefront of machine learning and deep learning.
This can be you.
By enrolling today, you’ll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors.
Most importantly, you will be learning PyTorch from a professional machine learning engineer, with real-world experience, and who is one of the best teachers around!
What will this PyTorch course be like?
This PyTorch course is very hands-on and project based. You won't just be staring at your screen. We'll leave that for other PyTorch tutorials and courses.
In this course you'll actually be:
Running experiments
Completing exercises to test your skills
Building real-world deep learning models and projects to mimic real life scenarios
By the end of it all, you'll have the skillset needed to identify and develop modern deep learning solutions that Big Tech companies encounter.
Fair warning: this course is very comprehensive. But don't be intimidated, Daniel will teach you everything from scratch and step-by-step!
Here's what you'll learn in this PyTorch course:
1. PyTorch Fundamentals — We start with the barebone fundamentals, so even if you're a beginner you'll get up to speed.
In machine learning, data gets represented as a tensor (a collection of numbers). Learning how to craft tensors with PyTorch is paramount to building machine learning algorithms. In PyTorch Fundamentals we cover the PyTorch tensor datatype in-depth.
2. PyTorch Workflow — Okay, you’ve got the fundamentals down, and you've made some tensors to represent data, but what now?
With PyTorch Workflow you’ll learn the steps to go from data -> tensors -> trained neural network model. You’ll see and use these steps wherever you encounter PyTorch code as well as for the rest of the course.
3. PyTorch Neural Network Classification — Classification is one of the most common machine learning problems.
Is something one thing or another?
Is an email spam or not spam?
Is credit card transaction fraud or not fraud?
With PyTorch Neural Network Classification you’ll learn how to code a neural network classification model using PyTorch so that you can classify things and answer these questions.
4. PyTorch Computer Vision — Neural networks have changed the game of computer vision forever. And now PyTorch drives many of the latest advancements in computer vision algorithms.
For example, Tesla use PyTorch to build the computer vision algorithms for their self-driving software.
With PyTorch Computer Vision you’ll build a PyTorch neural network capable of seeing patterns in images of and classifying them into different categories.
5. PyTorch Custom Datasets — The magic of machine learning is building algorithms to find patterns in your own custom data. There are plenty of existing datasets out there, but how do you load your own custom dataset into PyTorch?
This is exactly what you'll learn with the PyTorch Custom Datasets section of this course.
You’ll learn how to load an image dataset for FoodVision Mini: a PyTorch computer vision model capable of classifying images of pizza, steak and sushi (am I making you hungry to learn yet?!).
We’ll be building upon FoodVision Mini for the rest of the course.
6. PyTorch Going Modular — The whole point of PyTorch is to be able to write Pythonic machine learning code.
There are two main tools for writing machine learning code with Python:
A Jupyter/Google Colab notebook (great for experimenting)
Python scripts (great for reproducibility and modularity)
In the PyTorch Going Modular section of this course, you’ll learn how to take your most useful Jupyter/Google Colab Notebook code and turn it reusable Python scripts. This is often how you’ll find PyTorch code shared in the wild.
7. PyTorch Transfer Learning — What if you could take what one model has learned and leverage it for your own problems? That’s what PyTorch Transfer Learning covers.
You’ll learn about the power of transfer learning and how it enables you to take a machine learning model trained on millions of images, modify it slightly, and enhance the performance of FoodVision Mini, saving you time and resources.
8. PyTorch Experiment Tracking — Now we're going to start cooking with heat by starting Part 1 of our Milestone Project of the course!
At this point you’ll have built plenty of PyTorch models. But how do you keep track of which model performs the best?
That’s where PyTorch Experiment Tracking comes in.
Following the machine learning practitioner’s motto of experiment, experiment, experiment! you’ll setup a system to keep track of various FoodVision Mini experiment results and then compare them to find the best.
9. PyTorch Paper Replicating — The field of machine learning advances quickly. New research papers get published every day. Being able to read and understand these papers takes time and practice.
So that’s what PyTorch Paper Replicating covers. You’ll learn how to go through a machine learning research paper and replicate it with PyTorch code.
At this point you'll also undertake Part 2 of our Milestone Project, where you’ll replicate the groundbreaking Vision Transformer architecture!
10. PyTorch Model Deployment — By this stage your FoodVision model will be performing quite well. But up until now, you’ve been the only one with access to it.
How do you get your PyTorch models in the hands of others?
That’s what PyTorch Model Deployment covers. In Part 3 of your Milestone Project, you’ll learn how to take the best performing FoodVision Mini model and deploy it to the web so other people can access it and try it out with their own food images.
What's the bottom line?
Machine learning's growth and adoption is exploding, and deep learning is how you take your machine learning knowledge to the next level. More and more job openings are looking for this specialized knowledge.
Companies like Tesla, Microsoft, OpenAI, Meta (Facebook + Instagram), Airbnb and many others are currently powered by PyTorch.
And this is the most comprehensive online bootcamp to learn PyTorch and kickstart your career as a Deep Learning Engineer.

File Name:   Build AI Agents Without Coding Using Claude Code With N8N Content Source:   https://www.skool.com/claude-code/about Genre / Category: Free Courses Language: ENGLISH Original Price:   $49

File Name:   Automate Everything with Python Content Source:   https://www.udemy.com/course/automate-everything-with-python/ Genre / Category: Coding Courses Language: ENGLISH Original Price:   $49  
ABOUT THE COURSE:
In a fast-growing world, Python programming is becoming a must-have skill. Whether you want to automate email sending, rename 10 thousand files at once, schedule SMS, auto-start the webcam, create APIs, auto-login to websites, scrape values, and many, other cool programs, this course has it all. In the process of learning to do all those cool programs, you will master Python and will create programs with ease.
What will students learn to automate?
One of Python's strongest points is to make our jobs easier and more fun by automating tasks in any area. You will learn to send emails with attachments to hundreds of CSV contacts, automate SMS messages, filter photos from your albums, detect faces in photos and videos, spin up and deploy quick web apps, extract data from websites and PDF files, convert between different file formats, clean text using natural language processing, and many many more. At the end of the course, you will be equipped with a strong set of skills and a good GitHub portfolio.
Who is this course for?
This course is literally for anyone, from data scientists to students to doctors to musicians to new prospective programmers. With Python, you can do things from web scraping to generating music. There is always something that can be done with Python.
Do I need prior Python knowledge?
Yes. You need to know Python basics that are variables, data types, functions, conditionals, and loops. This course does not cover those because you can find such content easily on YouTube.
Can we use the apps to build our own GitHub portfolio?
Yes. You can publish the apps in your own GitHub account. However, it is recommended that you first change something from the code or even better, improve the code to make the apps really unique and yours. That will help your learning.
Do I have to follow the course in the given order?
No, you can pick the topics you like and only watch the videos and do the practice activities only for those topics.
What if I get stuck?
You will get stuck at some point. Every programmer does. When that happens, we've got your back. You can drop a question in the Q&A, and the instructor or the teaching assistant will answer your questions within the same day. You can also use the chat in the course Discord server to ask questions and chat with fellow students about Python.
What if I don’t like the course?
That will likely not happen. But, if it does, you are covered by the Udemy 30-day money-back guarantee, so you can quickly return the course. No questions asked.
Does this course cover Python 2 or Python 3?
Python 3.
What IDE/editor is used in the course?
We use the Repl IDE which is becoming a gold standard nowadays due to the share and collaborate features the IDE offers which are especially useful when you are still learning However, you are free to use your favorite IDE.
Do I need Windows, Mac, or Linux to take the course?
The operating system does not matter. You can even use a mobile device since the IDE we are using works in the browser.

File Name:   Hitesh Choudhary - Complete React and NextJS course with AI powered Projects Content Source:   https://www.udemy.com/course/complete-react-and-nextjs-course-with-ai-powered-projects/ Genre / Category: Coding Courses Language: ENGLISH Original Price:   $49  
ABOUT THE COURSE:
This course is designed for developers who want to master React and Next.js by building real-world, full-stack AI-powered applications. Instead of learning concepts in isolation, you’ll build production-grade projects using modern tools like Convex, Supabase, Drizzle ORM, and secure payment gateways. Each module takes you from fundamentals to deployment, ensuring you understand both how things work and why they work that way.
You’ll start by strengthening your React and Next.js foundations - routing, components, server actions, caching, and performance optimization. Then you’ll move into backend development using Convex and Supabase to create scalable databases, authentication systems, and API layers. You’ll learn relational modeling with Drizzle ORM, manage global state with  Zustand, or Context, and implement real payment flows using industry-standard gateways.
The course includes multiple AI-based projects where you integrate models from OpenAI, Gemini, and other providers to create intelligent SaaS applications. You’ll build dashboards, file-handling systems, chat assistants, automation tools, and more.
Finally, you’ll deploy your applications using modern hosting platforms and learn how to optimize them for real users. This is a complete, hands-on course that gives you the skills needed to build and ship full-stack, AI-driven web apps confidently.
 
This course is a one stop solution to master React and NextJS so that you can ship your next project with confidence!

File Name:   Ultimate AWS Certified Security Specialty [NEW 2026] SCS-C03 Content Source:   https://www.udemy.com/course/ultimate-aws-certified-security-specialty/ Genre / Category: Coding Courses Language: ENGLISH Original Price:   $49  
ABOUT THE COURSE:
Welcome! I'm here to help you prepare and PASS the newest AWS Certified Security Specialty exam.
I'm so excited to have you here, but first, let's make sure this AWS Certified Security Specialty course is the right one for you
 
[Jan 2026 Update]: The course is fully updated for SCS-C03
[Jun 2023 Update]: The course is fully updated for SCS-C02
 
-- -- -- -- -- -- --
**PLEASE READ**:
The course is MOSTLY SLIDES-BASED: If you're new to AWS, just finished AWS Certified Solutions Architect Associate and need to acquire some hands-on experience, I strongly recommend doing the following courses: AWS Certified Developer Associate, AWS Certified SysOps Administrator Associate, AWS Certified DevOps Engineer.
Expert course - you MUST have AT LEAST the AWS Certified Solutions Architect Associate: a lot of pre-requisite knowledge is assumed for that course. If you don't feel confident, please review the AWS Certified Solutions Architect Associate course first. Other certifications and extra-hands on experience is a huge plus.
This course is FAST-PACED: You must be ready to learn fast. I will not waste time over some basics. The slides are downloadable. I advise you to use the slides for some offline review after your session. I also recommend to not hesitate to go over some lectures you might have not understood fully.
NO PRACTICE EXAM INCLUDED: This course does not contain a practice exam. Please enroll in a separate course for that. This course focuses on teaching you the knowledge to ace the exam.
-- -- -- -- -- -- --
 
The AWS Certified Security Specialty certification is a fun certification and a challenging exam. It requires some substantial hands-on and real-world experience for you to pass. This course is going to help you solidify the knowledge you already have and put it in perspective through the study of various solutions architectures and services.
 
With the right dedication and thanks to this course, you should be prepared for your exam and maximize your chances of passing your AWS Certified Security Specialty certification!

File Name:   [XO Multimedia] Taushif Khalid Courses Collection Content Source:   https://xomultimedia.com/ Genre / Category: Premium courses Password:
  Price:   ₹9,999+ Language: HINDI
 
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Courses You Will Get:
1️⃣Photoshop Course 2️⃣Illustrator Course 3️⃣Adobe In-Design Course. 4️⃣Adobe After Effects Course - OLD. 5️⃣Generative AI course. 6️⃣WordPress Website Development Course. 7️⃣Adobe After Effects Course - NEW. 8️⃣Adobe Premiere Pro Editing Course  

File Name:   Claude for Coaches Content Source:   https://www.skool.com/claudeforcoaches/about Genre / Category: Premium courses Decryption Key:  
Original Price:   $47 Language: ENGLISH
 
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ABOUT THE COURSE:
AI systems, agents, and automations that actually run your coaching, consulting or service based business
Step #1: Join for $47 (founders pricing, lifetime access) and get instant access to:
✅ Behind-the-scenes demo of a $50K/month AI-powered coaching business
✅ Claude Code Install — set up your first AI employee
✅ The Chat Closer — book calls and close in the DMs with AI
✅ Micro Offer Builder + Ads — AI builds your lead magnets and runs traffic
✅ AI Powered Delivery — proprietary IP and frameworks managed by AI
✅ The Wealth Warp — fast cash strategies you can activate in 48 hours
✅ Skool Ads — fill your community with qualified prospects daily
✅ GPTs, prompts, tools, and resources — ready to deploy
Built by someone who runs his business on this stuff:
🔥 Replaced a team of 5 with AI agents
🔥 $25M+ Career Sales
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🔥 750+ coaches helped

File Name:   CodeWithHarry - Complete 2026 Python Bootcamp: Learn Python from Scratch Content Source:   https://www.udemy.com/course/codewithharry-python/ Genre / Category: Coding Courses Language: ENGLISH Original Price:   $49  
ABOUT THE COURSE:
Welcome to Complete 2026 Python Bootcamp: Learn Python from Scratch! This course is your ultimate starting point to master Python and become a confident coder—whether you’re a complete beginner or looking to sharpen your skills.
In this comprehensive, step-by-step course, you’ll start with the basics and gradually progress to advanced topics, learning how to build real-world applications along the way. Python is one of the most versatile and in-demand programming languages, used in fields like web development, data science, machine learning, automation, and more. By the end of this course, you’ll have the skills and knowledge to take on professional coding challenges and start your career in tech.
What You'll Learn:
Python programming fundamentals, including variables, loops, conditionals, and data types.
How to build Python projects from scratch, including games, automation scripts, and web applications.
Object-Oriented Programming (OOP) concepts and how to apply them to real-world problems.
Debugging and problem-solving techniques to write clean, efficient code.
Practical tips and techniques to prepare for coding interviews and real-world development tasks.
Why Take This Course?
Beginner-Friendly: No prior programming experience is required.
Project-Based Learning: Gain hands-on experience by building projects that showcase your skills.
Real-World Applications: Learn Python in the context of actual use cases, from web scraping to automating tasks.
Career-Focused: Equip yourself with the skills needed to land your first job or advance your career in tech.
Whether you want to automate daily tasks, create web apps, or explore data science, this course is the perfect place to start your Python journey. Join me, and let’s transform you from a Python novice to a confident coder ready for the job market!

File Name:   Rishi Jain – Ai Mastery Course 2026 | Digital Scholar Content Source:   https://workshop.digitalscholar.in/ai-mastrey-course-2026 Genre / Category: Coding Courses Language: ENGLISH Original Price:   ₹1,499

File Name:   Outskill By Vaibhav Sisinty Content Source:   https://www.outskill.com/ Genre / Category: Premium courses Password:  
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