Curriculum phases
Twenty phases, foundations to capstone. Each phase lists every lesson it contains and the learning paths that cover it.
- Phase 00Setup and Tooling
Get your environment ready for everything that follows.
- Phase 01Math Foundations
The intuition behind every AI algorithm, through code, not textbooks.
- Phase 02ML Fundamentals
Classical machine learning is still the backbone of most production AI.
- Phase 03Deep Learning Core
Neural networks from first principles. No frameworks until you build one yourself.
- Phase 04Computer Vision
From pixels to understanding across image, video, and 3D.
- Phase 05NLP Foundations to Advanced
Language is the interface to intelligence. Master every layer.
- Phase 06Speech and Audio
The other half of human communication. Hear, understand, speak.
- Phase 07Transformers Deep Dive
The architecture that changed everything. Understand every layer.
- Phase 08Generative AI
Create images, video, audio, 3D, and more.
- Phase 09Reinforcement Learning
Agents that learn by doing. The foundation of RLHF.
- Phase 10LLMs from Scratch
Build, train, and understand large language models.
- Phase 11LLM Engineering
Put LLMs to work in production applications.
- Phase 12Multimodal AI
Models that see, hear, read, and reason across modalities.
- Phase 13Tools and Protocols
The interfaces between AI and the real world.
- Phase 14Agent Engineering
The core of modern AI engineering. Build agents from first principles.
- Phase 15Autonomous Systems
Agents that run without human intervention, safely.
- Phase 16Multi Agent and Swarms
Coordination, emergence, and collective intelligence.
- Phase 17Infrastructure and Production
Ship AI to the real world. Scale, monitor, optimize.
- Phase 18Ethics Safety Alignment
Build AI that helps humanity. Not optional.
- Phase 19Capstone Projects
Prove everything you learned. Build portfolio-grade systems.