ai-agents-from-zero

An open-source, systematic AI agent tutorial that takes learners from zero to enterprise-level deployment. Centered on Python with LangChain and LangGraph, it covers prompting, Coze/Dify, MCP, RAG, deployment, and fine-tuning. It includes runnable source code, hands-on projects such as e-commerce NL2SQL and deep research multi-agent systems, an interview question bank, and a continuously updated learning path aligned with LLM application engineering roles.