microsoft / ai-agents-for-beginners

2026-04-21 · Source: Github Trending: All languages · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Robotics & Autonomous Systems · Depth: Novice, long

Summary

Microsoft has released "AI Agents for Beginners," a comprehensive course designed to teach the fundamentals of building AI agents. This course, available on GitHub, includes lessons, written content, video tutorials, and Python code samples. It leverages Microsoft Agent Framework (MAF) and Azure AI Foundry Agent Service V2, with some examples also supporting OpenAI-compatible providers like MiniMax. The curriculum covers essential topics such as AI agent introduction, agentic frameworks, design patterns (Tool Use, Agentic RAG, Planning, Multi-Agent, Metacognition), building trustworthy agents, agents in production, agentic protocols (MCP, A2A, NLWeb), context engineering, and managing agentic memory. The course offers extensive multi-language support, with over 50 translations, and provides guidance on sparse cloning to manage repository size.

Key takeaway

For AI Engineers and developers looking to implement AI agents, this course offers a structured path to understanding and building them. You should explore the provided Python code samples and experiment with different large language models to grasp agentic design patterns. Pay close attention to context engineering and memory management to create more robust and context-aware AI applications.

Key insights

The course provides foundational knowledge and practical code for building AI agents using Microsoft's frameworks.

Principles

• AI agents require LLMs for reasoning, memory for context, and tools for actions.
• Agentic design patterns enhance AI agent capabilities and trustworthiness.
• Context and memory management are crucial for effective agent interactions.

Method

The course teaches building AI agents by combining large language models (LLMs) for reasoning, memory for retaining context, and external tools/functions for performing actions, demonstrated with Python code samples.

In practice

• Utilize Microsoft Agent Framework (MAF) for agent development.
• Integrate Azure AI Foundry Agent Service V2 for agent services.
• Implement Tool Use and Agentic RAG design patterns.

Topics

• AI Agents
• Microsoft Agent Framework
• Azure AI Foundry
• Large Language Models
• Agentic Design Patterns

Code references

• microsoft/ai-agents-for-beginners
• ai-agents-for-beginners
• microsoft/ai-agents-for-beginners
• Azure/co-op-translator
• microsoft/langchain-for-beginners

Best for: AI Student, AI Engineer, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Github Trending: All languages.