AI Agents for Beginners - A Course

A course teaching everything you need to know to start building AI Agents

🌐 Multi-Language Support

Supported via GitHub Action (Automated & Always Up-to-Date)

French | Spanish | German | Russian | Arabic | Persian (Farsi) | Urdu | Chinese (Simplified) | Chinese (Traditional, Macau) | Chinese (Traditional, Hong Kong) | Chinese (Traditional, Taiwan) | Japanese | Korean | Hindi | Bengali | Marathi | Nepali | Punjabi (Gurmukhi) | Portuguese (Portugal) | Portuguese (Brazil) | Italian | Polish | Turkish | Greek | Thai | Swedish | Danish | Norwegian | Finnish | Dutch | Hebrew | Vietnamese | Indonesian | Malay | Tagalog (Filipino) | Swahili | Hungarian | Czech | Slovak | Romanian | Bulgarian | Serbian (Cyrillic) | Croatian | Slovenian | Ukrainian | Burmese (Myanmar)

If you wish to have additional translations languages supported are listed here

🌱 Getting Started

This course has lessons covering the fundamentals of building AI Agents. Each lesson covers its own topic so start wherever you like!

There is multi-language support for this course. Go to our available languages here.

If this is your first time building with Generative AI models, check out our Generative AI For Beginners course, which includes 21 lessons on building with GenAI.

Don't forget to star (🌟) this repo and fork this repo to run the code.

Meet Other Learners, Get Your Questions Answered

If you get stuck or have any questions about building AI Agents, join our dedicated Discord Channel in the Azure AI Foundry Community Discord.

What You Need

Each lesson in this course includes code examples, which can be found in the code_samples folder. You can fork this repo to create your own copy.

The code example in these exercises, utilize Azure AI Foundry and GitHub Model Catalogs for interacting with Language Models:

• Github Models - Free / Limited
• Azure AI Foundry - Azure Account Required

This course also uses the following AI Agent frameworks and services from Microsoft:

• Azure AI Agent Service
• Semantic Kernel
• AutoGen

For more information on running the code for this course, go to the Course Setup.

🙏 Want to help?

Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request

📂 Each lesson includes

• A written lesson located in the README and a short video
• Python code samples supporting Azure AI Foundry and Github Models (Free)
• Links to extra resources to continue your learning

🗃️ Lessons

Lesson	Text & Code	Video	Extra Learning
Intro to AI Agents and Agent Use Cases	Link	Video	Link
Exploring AI Agentic Frameworks	Link	Video	Link
Understanding AI Agentic Design Patterns	Link	Video	Link
Tool Use Design Pattern	Link	Video	Link
Agentic RAG	Link	Video	Link
Building Trustworthy AI Agents	Link	Video	Link
Planning Design Pattern	Link	Video	Link
Multi-Agent Design Pattern	Link	Video	Link
Metacognition Design Pattern	Link	Video	Link
AI Agents in Production	Link	Video	Link
Using Agentic Protocols (MCP, A2A and NLWeb)	Link	Video	Link
Context Engineering for AI Agents	Link	Video	Link
Managing Agentic Memory	Coming - September 11th
Evaluating AI Agents	Coming - September 18th
Building Computer Use Agents (CUA)	Coming - September 25th
Deploying Scalable Agents	Coming - September 25th
Creating Local AI Agents	Coming - October 3rd
Securing AI Agents	Coming - October 10th

🎒 Other Courses

Our team produces other courses! Check out:

• NEW Model Context Protocol (MCP) For Beginners
• Generative AI for Beginners using .NET
• Generative AI for Beginners
• Generative AI for Beginners using Java
• ML for Beginners
• Data Science for Beginners
• AI for Beginners
• Cybersecurity for Beginners
• Web Dev for Beginners
• IoT for Beginners
• XR Development for Beginners
• Mastering GitHub Copilot for AI Paired Programming
• Mastering GitHub Copilot for C#/.NET Developers
• Choose Your Own Copilot Adventure

🌟 Community Thanks

Thanks to Shivam Goyal for contributing important code samples demonstrating Agentic RAG.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos is subject to those third-parties' policies.