#385 · Primary category: Education & Research
ai-engineering-from-scratch-zh
Most comprehensive learning path for Agent engineers: Master AI engineering from scratch in 20 stages with 503 lessons, Chinese translations, companion site, and animated videos - a guide to becoming an AI Agent engineer.
Project last updated:08/24/26
GitHub Stars
1.0K
Forks
159
Contributors
12
License
MIT
Why we included this project
If your team is tired of just stringing together API calls and wants to actually understand what happens under the hood, this Chinese-language curriculum is worth a look. It walks through roughly 500 lessons in 20 phases, starting with linear algebra and machine learning fundamentals and moving up through transformers, LLM engineering, and multi-agent systems. The build-it-then-use-it structure stands out: you hand-write algorithms in plain code before reaching for PyTorch or a framework, so the libraries stop feeling like magic. Each lesson also leaves you with something reusable, whether that is a prompt, an agent loop, or an MCP server. The site is not a machine-translated mirror either; it localizes lesson text, quizzes, and diagrams, has a searchable companion website, and includes narrated math videos. Treat it as a structured study path or onboarding plan, not deployable software.
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