A Chinese roadmap for learning to build AI Agents
A Chinese AI Agent learning roadmap takes beginners from basic programming to building full products. It covers Python, , React, FastAPI, databases, LLM basics, AI , and a final product project. The material includes 110 Markdown tutorials and about 580,000 Chinese characters, with plain examples, runnable code, expected output, exercises, and answers.
It also includes more than 30 chapter projects and over 400 GitHub projects, grouped by how they should be used for learning. The path is planned in stages: foundations in months 1 to 3, frontend work in months 4 to 7, backend work in months 8 to 10, LLM and AI Agent work in months 11 to 15, and a final project in months 16 to 18. The AI Agent section includes building a mini-agent-sdk and an .
Suggested pacing ranges from 8 to 24 months depending on available study time. The end goal is to build and deploy web apps and design, tune, and deploy systems where multiple AI Agents work together.
Key points
- The roadmap starts from basic programming and ends with AI Agent product building.
- It includes 110 Markdown tutorials, about 580,000 Chinese characters, and more than 30 projects.
- More than 400 GitHub projects are organized for beginner, advanced, , and small complete project learning.
- The AI Agent section includes a mini-agent-sdk and an .
- It is useful for learning agent engineering, but it is not mainly a token cost guide.