What is AI Engineering from Scratch?

A comprehensive 503-lesson curriculum that teaches AI engineering starting from foundational math. Every algorithm is built from scratch before using frameworks. Covers ML, Deep Learning, LLMs, Agents, Computer Vision, NLP, and Reinforcement Learning. Available in English and Korean (bilingual).

How many phases and lessons are there?

The curriculum consists of 20 phases with a total of 503 lessons. Phases range from Setup & Tooling, Math Foundations, ML Fundamentals, Deep Learning, Computer Vision, NLP, Speech & Audio, Transformers, Generative AI, RL, LLMs from Scratch, to Agent Engineering and Capstone Projects.

What prerequisites are needed?

No prior AI knowledge required. The curriculum starts from basics (setup, math foundations) and progressively builds to advanced topics. Basic programming knowledge is helpful. Phase 1 covers all necessary math including linear algebra, calculus, probability, and statistics.

What makes this curriculum different?

Unlike typical courses that start with frameworks, this curriculum teaches by building every algorithm from the math up first - backprop from scratch, tokenizer from scratch, attention mechanism from scratch - then shows how the same operation works in production libraries. This gives deep understanding rather than black-box usage.

Is the content available in Korean?

Yes, the entire curriculum is bilingual (English/Korean). Use the EN/KO toggle button to switch between languages. Both the UI and lesson content are fully translated.

AI Engineering from Scratch / AI 엔지니어링 기초부터

Curriculum · 20 Phases (요약)

기초 수학부터 프로덕션 AI 시스템까지, 각 Phase를 직접 구현하며 배우는 실전 커리큘럼입니다. 아래 요약은 JavaScript 없이도 읽을 수 있도록 HTML에 직접 포함되어 있습니다.

P00Setup & ToolingPython·Git·GPU·Docker 개발환경 구축12 lessons

첫 레슨: Dev Environment

AI Engineering from Scratch AI 엔지니어링 기초부터

Guides │ 운영자 직접 작성

Curriculum · 20 Phases (요약)