AI Agents for Beginners
Free educational course from Microsoft to learn building AI agents from scratch.

Overview
AI Agents for Beginners is a free educational course developed by Microsoft for those who want to learn how to build AI agents from scratch. The course is a structured program of 15 lessons that progressively takes learners from basic concepts of agentic systems to practical development of their own solutions. Course materials are available in an open repository on GitHub, and with translations into 50+ languages, they have become accessible to a broad international audience.
The course is designed with a strong focus on practice: each lesson includes not only theoretical explanations but also short video materials and ready-to-use Python code examples. The primary tool learners master throughout the course is the Microsoft Agent Framework, but the curriculum also covers working with Azure AI Foundry Agent Service V2 and support for OpenAI-compatible providers. The project is actively evolving: Microsoft regularly adds new lessons to the program, and the user community keeps the materials up to date.
AI Agents for Beginners Features
| Feature | Value |
|---|---|
| Type | Educational course |
| Developer | Microsoft |
| Categories | Developer tools, AI courses, free |
| Business model | Free |
| Number of lessons | 15 |
| Languages | More than 50 languages |
| Material format | Text explanations, short videos, Python code examples |
| Frameworks | Microsoft Agent Framework, Azure AI Foundry Agent Service V2, support for OpenAI-compatible providers |
| Platform | GitHub (repository can be forked) |
Who is AI Agents for Beginners for?
Beginner developers
The course is an ideal starting point for those who have not yet worked with AI agents but want to understand this field. No deep prior knowledge of agentic systems is required — the material is structured to smoothly guide beginners toward understanding complex concepts through simple explanations and clear examples.
Professionals looking to systematize their knowledge
Even if you have already worked with AI agents in practice, the course will help you organize your existing knowledge. The structured program of 15 lessons allows you to look at the topic systematically: from basic concepts to multi-agent systems and advanced design patterns. It serves as a kind of "map of the territory" for those who want to see the full picture of the agentic approach.
Anyone who wants hands-on experience
Thanks to ready-made code examples and the ability to run materials locally, the course suits those who prefer learning through practice. You don't just read theory — you can immediately run the code, experiment, and see how the described approaches work in action.
How to use AI Agents for Beginners?
Fork the repository on GitHub
The first step is to go to the course repository on GitHub and fork the project. This allows you to have your own copy of all materials, make changes, and keep track of updates. All course content — lesson texts, code, and additional materials — is openly available.
Run examples locally
Each lesson contains practical Python code examples. To run them, you'll need a configured Python development environment. It's recommended to complete the assignments sequentially to better understand the connections between lessons. Experiment with the code, change agent parameters, and observe the results — this will help you absorb the material more deeply.
Ask for help on Discord
If questions or difficulties arise during your studies, you can reach out to the Microsoft Foundry Discord channel. The community actively answers questions from beginners, and participating in discussions will help you quickly grasp the nuances of AI agent development.
Key features of AI Agents for Beginners
Comprehensive learning program
The course covers 15 lessons dedicated to various aspects of building AI agents: basic concepts, frameworks, design patterns, tools, agentic RAG, multi-agent systems, metacognition, trust, planning, memory, interaction protocols, and context engineering. There are also dedicated lessons on the Microsoft Agent Framework and building browser-capable agents.
Multi-format materials
Each lesson includes a text explanation, a short video, and Python code examples. This approach allows you to absorb information through different channels: read the theory, watch demonstrations, and immediately try writing code yourself.
Flexibility in tool selection
Although the primary framework of the course is the Microsoft Agent Framework, the program also covers working with Azure AI Foundry Agent Service V2 and supports alternative OpenAI-compatible providers. This gives learners flexibility and a broader view of the agent development ecosystem.
Advantages of AI Agents for Beginners
Completely free access
The main advantage of the course is its accessibility to everyone. No payment, subscription, or additional conditions are required — all materials are freely available in the GitHub repository.
Practical guide with ready-made code
Unlike many theoretical courses, AI Agents for Beginners offers working code examples that you can clone, run, and modify. This saves time and lets you move faster from understanding concepts to actual development.
Active project development
Microsoft regularly adds new lessons to the course, expanding its content. This means the materials don't become outdated and stay aligned with the current state of the industry. The project can be seen as a long-term resource worth returning to as new modules are released.
Community support
Through the Microsoft Foundry Discord channel, learners can ask questions, share experiences, and get help from other participants. This turns the learning process from a solo activity into part of a living community.
Drawbacks of AI Agents for Beginners
The course is oriented toward the Microsoft ecosystem and primarily introduces learners to the Microsoft Agent Framework. Developers planning to work exclusively with other infrastructures may need to adapt the knowledge gained to their own tools. Additionally, running the examples requires a configured Python development environment, which could be a slight barrier for absolute programming beginners. It's also worth noting that the course is an educational program, not a tool with technical support: help is provided by the community rather than Microsoft's official support team.
What problems does AI Agents for Beginners solve?
Learning to build AI agents from scratch
The main goal of the course is to help beginners take their first steps in agentic system development. The program is structured so that even someone without experience in this field can progressively master all the necessary concepts and skills.
Understanding the basic concepts of agentic systems
The course explains fundamental concepts: what an AI agent is, how it works, what design patterns are used when building agents, and what planning, memory, and agent tools are. This is the foundation without which successful progress in the field is impossible.
Structuring knowledge about AI agents
For those who have already encountered AI agents, the course helps build a clear knowledge system. Multi-agent systems, agentic RAG, metacognition, trust, and context engineering — these complex topics are organized and connected into a unified picture.
Mastering Microsoft Agent Framework and Azure AI Foundry
The practical part of the course gives learners hands-on experience with Microsoft's key tools for agent development. These skills can be valuable in a professional career, especially if you plan to build solutions on Microsoft technologies.
AI Agents for Beginners Pricing
The course is completely free. No payments, subscriptions, or hidden costs are required. All materials, including lesson texts, videos, and code examples, are freely available. The only thing you might need to run examples locally is your own development environment and Python, but the tools for installing these components are also free.
Terms of use for AI Agents for Beginners
Course materials are hosted in an open repository on GitHub, and anyone can fork it for personal use. To run examples and complete practical assignments, you'll need to set up a local Python development environment. If questions arise during your studies, you can join the Microsoft Foundry Discord channel, where community members help each other work through challenging topics. No official paid support from Microsoft is provided as part of the course.
Availability of AI Agents for Beginners
The entire course is available on GitHub without any registrations or restrictions. The program has been translated into 50+ languages, making it accessible to an international audience. Running the code examples requires a Python development environment, but the course itself can be studied from any device with internet access. Thanks to the open repository, materials can be downloaded and used offline, increasing the course's accessibility for users with unstable internet connections.
How is AI Agents for Beginners different from alternatives?
The key difference between this course and most other free AI agent materials is its systematic and practical approach. Instead of scattered articles or standalone video lessons, you get a cohesive program of 15 interconnected lessons that takes you through the entire agent development journey: from explaining basic concepts to building multi-agent systems with metacognition and trust. The multi-format materials (text + video + code) and the focus on the Microsoft Agent Framework ecosystem also set this course apart from alternatives. It's also significant that the project is actively evolving — new lessons are added regularly, which is rare among free educational initiatives.
Conclusion
AI Agents for Beginners is a high-quality free educational product from Microsoft that provides practical knowledge on building AI agents. Including theory, videos, and code examples, the course suits both beginners and professionals looking to structure their knowledge. Thanks to active community support and regular content updates, the course remains a relevant resource for entering the world of agentic systems.
Frequently asked questions
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