Awesome AI Agents › Courses and Tutorials
Copilot Studio Agent Academy is a Microsoft-maintained repository that hosts the content for a three-part course teaching people how to build agents with Microsoft Copilot Studio. The rendered course is published separately and reached through an aka.ms short link, while the repository holds the underlying markdown source, contribution rules and shared components. Course material is organized into missions grouped under progressive levels named Recruit, Operative and Commander, each with its own contributing guide describing how lessons are written and reviewed. Alongside the main track, the repository carries standalone Special Ops missions for self-contained topics and a Cowork Collective section with missions for Copilot Cowork, again each with dedicated contribution guidance. A general contributing guide documents the project's documentation standards, markdown linting rules and spell checking requirements that submissions must satisfy, and a custom components guide catalogs the reusable elements authors can place inside the markdown files so lessons render consistently on the course site. Contributions follow the standard Microsoft open source process: most require agreeing to a Contributor License Agreement, which a bot checks automatically when a pull request is opened and which contributors only need to sign once across Microsoft repositories using the same agreement. The project has adopted the Microsoft Open Source Code of Conduct, and the README includes the usual trademark notice explaining that use of Microsoft names and logos is governed by the company's brand guidelines and that modified versions must not imply Microsoft sponsorship. The repository is therefore an educational resource and authoring workspace rather than a runnable framework or library: readers are directed to the hosted academy site to take the course, while developers and community contributors use the repository to add or improve missions.
https://github.com/microsoft/agent-academy
A comprehensive guide and resource hub for prompt engineering, context engineering, retrieval-augmented generation, and AI agents, offering tutorials, papers, tools, and courses to optimize the use of large language models.
Learn Claude Code is an educational project that teaches how to build modern AI coding agents like Claude Code through a progressive tutorial covering core concepts, planning, subagents, and skills mechanisms.
AI Engineering Hub is a comprehensive repository offering in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for learners and practitioners.
The Hugging Face Agents Course is a comprehensive educational resource that teaches the fundamentals and advanced concepts of AI agents and large language models through structured units, practical frameworks, and community collaboration.
GenAI_Agents is a comprehensive repository offering tutorials, implementations, and community resources for building and advancing generative AI agents from basic to advanced levels.
This course provides a comprehensive project-based tutorial on Harness Engineering for building reliable AI coding agents, covering environment setup, state management, verification, and control.
An AI-powered tool that analyzes GitHub repositories and generates beginner-friendly tutorials with visualizations to simplify understanding complex codebases.
A comprehensive guide to prepare for machine learning and AI technical interviews at major tech companies, covering coding, ML fundamentals, system design, and behavioral aspects.