This repository offers a systematic, practical guide for building AI agents, covering foundational concepts through enterprise deployment, including interview preparation.
It offers a structured learning path for AI agent development with Python, focusing on frameworks like LangChain and LangGraph, along with platforms like Coze and Dify. The guide provides runnable code examples, enterprise-level projects, and an extensive `AI智能体与大模型应用开发面试题库.md` for job readiness. Users can quickly start using its practical `教程案例链接汇总.md` and consult `教程目录大纲.md` for the full curriculum.
This repository offers a systematic, practical guide for building AI agents, covering foundational concepts through enterprise deployment, including interview preparation.
It's ideal for Python developers aiming to become AI Agent or LLM application engineers, from beginners to those seeking enterprise deployment skills and interview readiness.
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2026 持续更新中 · 目标打造「全网最完整」AI Agent 教程 —— 系统教程 + 可跑源码 + 面试题库 + 企业级实战项目，全面对齐「AI 智能体 / 大模型应用开发工程师」培训课表与招聘 JD的一条龙学习路线
📢 说明：教程持续迭代，为 2026 年最新版 AI 智能体 笔记与教程，预计 5 月第一版更新完毕，完成「从入门到企业级」闭环。当前已完成并更新概念篇内容，接下来将进入实战项目篇的持续更新。你可以点击更新日志，了解最新仓库动态。若对你有帮助，欢迎 Star ⭐~
