The AI Agents for Beginners repository is a comprehensive educational course created by Microsoft that teaches developers how to build AI agents from the ground up. The course consists of 12 core lessons plus additional supplementary content, covering everything from foundational concepts to production deployment. The primary language is Jupyter Notebook, making the content interactive and executable for learners.
The repository has achieved significant reach with 68,566 stargazers as of the latest tracking period, having grown by 2 stars since July 5, 2026. The project maintains active engagement with a median issue and pull request response latency of 0.0 hours and a mean latency of 3.1 hours across 121 tracked items. The most active contributors tracked by GitGenius are koreyspace with 216 events, leestott with 91 events, and Copilot with 14 events. The repository overlaps with other major Microsoft projects including vscode, typescript, and rust-lang/rust through shared contributors.
The course covers 12 primary lessons addressing core agent concepts: introduction to AI agents and use cases, exploration of agentic frameworks, understanding agentic design patterns, tool use design patterns, agentic RAG, building trustworthy agents, planning design patterns, multi-agent systems, metacognition patterns, production deployment, agentic protocols including MCP and A2A, and context engineering. Additional lessons cover agent memory management, the Microsoft Agent Framework specifically, computer use agents, deploying scalable agents, creating local AI agents, and securing AI agents.
Each lesson includes written content in README format, accompanying video tutorials, Python code samples using Microsoft Agent Framework with Azure AI Foundry, and links to supplementary learning resources. The code examples utilize the Microsoft Agent Framework with Azure AI Foundry Agent Service V2, though some samples also support OpenAI-compatible providers like MiniMax which offers large-context models up to 204K tokens.
A distinctive feature of this repository is its extensive multi-language support. The course is available in over 50 languages including Arabic, Bengali, Bulgarian, Chinese (multiple variants), French, German, Japanese, Korean, Spanish, and many others. This translation infrastructure is maintained through GitHub Actions, ensuring translations remain up-to-date automatically. The repository provides sparse checkout instructions for users who want to clone locally without downloading all translation files, significantly reducing download size.
The course is designed for beginners and assumes no prior experience with agentic AI. It recommends that learners unfamiliar with generative AI first complete the Generative AI For Beginners course, which covers 21 lessons on foundational GenAI concepts. The repository includes a dedicated Discord channel for learners to ask questions and connect with others. The project actively encourages community contributions through issue reporting and pull requests, with clear documentation on how to participate in the course development and improvement process.
