Levels
The curriculum as a journey: four levels of five phases, from your first line of Python to architecting autonomous AI systems. Levels suggest an order — every phase stays open, so start wherever you are. Sign in to see your progress light up the path.
Setup and Tooling
Get your environment ready for everything that follows.
12 lessonsMath Foundations
The intuition behind every AI algorithm, through code, not textbooks.
22 lessonsML Fundamentals
Classical machine learning is still the backbone of most production AI.
18 lessonsDeep Learning Core
Neural networks from first principles. No frameworks until you build one yourself.
13 lessonsComputer Vision
From pixels to understanding across image, video, and 3D.
28 lessons
NLP Foundations to Advanced
Language is the interface to intelligence. Master every layer.
29 lessonsSpeech and Audio
The other half of human communication. Hear, understand, speak.
17 lessonsTransformers Deep Dive
The architecture that changed everything. Understand every layer.
16 lessonsGenerative AI
Create images, video, audio, 3D, and more.
15 lessonsReinforcement Learning
Agents that learn by doing. The foundation of RLHF.
12 lessons
LLMs from Scratch
Build, train, and understand large language models.
24 lessonsLLM Engineering
Put LLMs to work in production applications.
17 lessonsMultimodal AI
Models that see, hear, read, and reason across modalities.
25 lessonsTools and Protocols
The interfaces between AI and the real world.
31 lessonsAgent Engineering
The core of modern AI engineering. Build agents from first principles.
54 lessons
Autonomous Systems
Agents that run without human intervention, safely.
22 lessonsMulti Agent and Swarms
Coordination, emergence, and collective intelligence.
25 lessonsInfrastructure and Production
Ship AI to the real world. Scale, monitor, optimize.
28 lessonsEthics Safety Alignment
Build AI that helps humanity. Not optional.
30 lessonsCapstone Projects
Prove everything you learned. Build portfolio-grade systems.
85 lessons