felixFELIX
forlearnai
OPEN SOURCE · MIT · ~290H
felix

LEARN AI.BUILD IT. SHIP IT.

260+ lessons across 20 phases. From linear algebra to autonomous agent swarms. Python, TypeScript, Rust, Julia.

0+
LESSONS
20
PHASES
4
LANGUAGES
0
DONE
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MATH FOUNDATIONSDEEP LEARNINGTRANSFORMERSLLMS FROM SCRATCHAGENT ENGINEERINGMULTI-AGENT SWARMSPRODUCTION AICOMPUTER VISIONNLPREINFORCEMENT LEARNINGGENERATIVE AISPEECH & AUDIOETHICSMATH FOUNDATIONSDEEP LEARNINGTRANSFORMERSLLMS FROM SCRATCHAGENT ENGINEERINGMULTI-AGENT SWARMSPRODUCTION AICOMPUTER VISIONNLPREINFORCEMENT LEARNINGGENERATIVE AISPEECH & AUDIOETHICS
THE 20 PHASES
CLICK TO EXPLORE →
WHY THIS COURSE
Build, don't import
Implement every algorithm from raw math. You write the backprop, the tokenizer, the attention.
Real code, real projects
Python, TypeScript, Rust, Julia. Every lesson has runnable code. No slides, no theory-only.
Ship something reusable
Each lesson produces a prompt, skill, agent, or MCP server. Your toolkit grows every phase.
Free & open source
MIT licensed. Clone it, fork it, learn at your own pace. No paywall, no gatekeeping.
ROADMAP
overall progress — 0/303 lessons
00Setup & Tooling
01Math Foundations
02ML Fundamentals
03Deep Learning Core
04Computer Vision
05NLP: Foundations to Advanced
06Speech & Audio
07Transformers Deep Dive
08Generative AI
09Reinforcement Learning
10LLMs from Scratch
11LLM Engineering
12Multimodal AI
13Tools & Protocols
14Agent Engineering
15Autonomous Systems
16Multi-Agent & Swarms
17Infrastructure & Production
18Ethics, Safety & Alignment
19Capstone Projects
START BUILDING

Everything is open source and free. No account required.

git clone https://github.com/cookie-may/felixforlearnai
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