ai-engineering-from-scratch

개요

435개 수업, 20개 단계로 구성되어 있으며 수학, ML, 딥러닝, LLM, 에이전트 등을 포함합니다. 각 수업마다 재사용 가능한 도구(프롬프트, 스킬, 에이전트 또는 MCP 서버)를 1개씩 생성합니다. AI를 깊이 이해하고 실용적인 도구를 구축하고자 하는 학습자에게 적합합니다.

README 미리보기

\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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