ai-engineering-from-scratch

概要

435レッスン、20段階で構成され、数学、ML、深層学習、LLM、エージェントなどをカバーしています。各レッスンでは、再利用可能なツール（プロンプト、スキル、エージェント、またはMCPサーバー）を1つ生成します。AIを深く理解し、実用的なツールを構築したい学習者に適しています。

README プレビュー

\n  \n\n\n\n  \n  \n  \n  \n  \n\n\n```\n░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒\n```\n\n> **84% of students already use AI tools. Only 18% feel prepared to use them\n> professionally.** This curriculum closes that gap.\n>\n> 435 lessons. 20 phases. ~320 hours. Python, TypeScript, Rust, Julia. Every lesson ships\n> a reusable artifact: a prompt, a skill, an agent, an MCP server. Free, open source, MIT.\n>\n> You don't just learn AI. You build it. End-to-end. By hand.\n\n## How this works\n\nMost AI material teaches in scattered pieces. A paper here, a fine-tuning post there, a\nflashy agent demo somewhere else. The pieces rarely line up. You ship a chatbot but can't\nexplain its loss curve. You hook a function to an agent but can't say what attention does\ninside the model that's calling it.\n\nThis curriculum is the spine. 20 phases, 435 lessons, four languages: Python, TypeScript,\nRust, Julia. Linear algebra at one end, autonomous swarms at the other. Every algorithm\ngets built from raw math first. Backprop. Tokenizer. Attention. Agent loop. By the time\nPyTorch shows up, you already know what it's doing under the hood.\n\nEach lesson runs the same loop: read the problem, derive the math, write the code, run\nthe test, keep the artifact. No five-minute videos, no copy-paste deploys, no hand-holding.\nFree, open source, and built to run on your own laptop.\n\n```\n░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒░░░▒▒▒\n```\n\n## The shape of the curriculum\n\nTwenty phases stack on top of each other. Math is the floor. Agents and production are the roof.\nSkip ahead if you already know the lower layers, but don't skip and then wonder why something at\nthe top is breaking.\n\n```mermaid\n%%{init: {'theme':'base','themeVariables':{'primaryColor':'#fafaf5','primaryTextColor':'#1a1a1a','primaryBorderColor':'#3553ff','lineColor':'#3553ff','fontFamily':'JetBrains Mono','fontSize':'12

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