ai-agents-for-beginners and agentic-ai-engineering
These are complements: Microsoft's beginner-focused curriculum provides foundational concepts (LLM APIs, prompt engineering, agent loops) that serve as prerequisites for the hands-on engineering tutorials in the smaller project, which dive deeper into practical implementation patterns.
About ai-agents-for-beginners
microsoft/ai-agents-for-beginners
12 Lessons to Get Started Building AI Agents
Structured curriculum covering agent fundamentals, reasoning patterns, and tool integration using Microsoft Agent Framework paired with Azure AI Foundry Agent Service V2. Each of the 12 lessons includes written content, Python code samples, and video walkthroughs demonstrating practical implementations. Available in 50+ languages with automated translation updates via GitHub Actions.
About agentic-ai-engineering
agenticloops-ai/agentic-ai-engineering
Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.
Built from first principles with runnable Python scripts, the tutorials progress from basic LLM API calls through autonomous agent loops to production patterns like prompt chaining, routing, and human-in-the-loop workflows. It covers practical engineering challenges—context management, structured outputs, multimodal input, RAG, and streaming—alongside framework comparisons (LangGraph, Pydantic AI, CrewAI, etc.) to help developers make informed architecture choices.
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