AI Agents for Beginners: From Concept to Code

About this path

This learning path is based on the 'AI Agents for Beginners' course by Microsoft Developer. It covers what AI agents are, how to choose a framework, design patterns, tool use, RAG, memory, multi-agent systems, and deployment. Each lesson is a short video with practical examples and code samples. You'll learn by watching and then applying the concepts to your own projects.

What you will learn

• Define what AI agents are and identify their best use cases.
• Compare different AI agent frameworks and choose the right one for your project.
• Apply design principles to create effective and reliable AI agents.
• Implement agentic RAG to enhance your applications with retrieval-augmented generation.
• Use the tool use design pattern to give agents the ability to interact with external systems.
• Plan for production deployment, including cost management and common pitfalls.
• Engineer context to provide agents with the right information at the right time.
• Understand and apply agentic protocols like MCP, A2A, and NLWeb.
• Design multi-agent systems and know when to use them.
• Build agents that improve over time using memory and metacognition.

Who this is for

Beginners who want a structured free introduction before deeper practice.

Curriculum