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Ai Engineering From Scratch

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Description

2026 持续更新中 · 目标打造 「地表最强」 AI Agent 教程 —— 系统教程 + 可跑源码. 市面上 AI 大模型应用内容很多,但绝大多数是碎片化帖子、收费训练营等;本仓库就是让你不用先花大几千甚至上万,也能系统进入大模型应用开发。Learn it. Build it. Ship it for others.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

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MIT License 503 lessons 20 phases GitHub stars Website

From the creator of [Agent Memory - #1 Persistent memory ⭐](https://github.com/liangdabiao/agentmemory) GitHub stars which naturally works with any agents or chat assistants.

检验一门实战课的标准其实只有一个:大家跟着课程里的步骤,能不能亲手把结果做出来。

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**84% of students already use AI tools. Only 18% feel prepared to use them professionally.** This curriculum closes that gap.

503 lessons. 20 phases. ~320 hours. Python, TypeScript, Rust, Julia. Every lesson ships a reusable artifact: a prompt, a skill, an agent, an MCP server. Free, open source, MIT.

You don't just learn AI. You build it. End-to-end. By hand.