Learning resources
Take the courses that make modern AI feel understandable.
A guided library of interactive lessons across AI foundations, transformers, LLMs, vision, robotics, production ML, and frontier science. Start anywhere, learn by touching the idea, and keep a clear path forward.
50
Live lessons
7
Learning paths
8
Beginner starts
19
Advanced dives
Start here
A few strong places to begin
The catalog is broad, so these six make good first doors: intuition, architecture, retrieval, fine-tuning, deployment efficiency, and agentic systems.
Embeddings
BeginnerFrom words to vectors
~15 min lesson
Attention Mechanism
IntermediateQ, K, V and multi-head attention
~15 min lesson
RAG
IntermediateGive LLMs a search engine
~18 min lesson
LoRA & Fine-tuning
IntermediateCustomize billion-param models
~15 min lesson
Quantization
IntermediateShrink models 4× without losing intelligence
~15 min lesson
AI Agents & Tool Use
AdvancedPlanning, calling tools, memory
~20 min lesson
See the idea move
Lessons use diagrams, sliders, simulations, and checks so concepts feel tangible instead of abstract.
Build a real mental model
Each path moves from intuition to implementation, so the next topic has somewhere solid to land.
Learn in focused sessions
Most lessons fit into a short, serious sitting. You can finish one before the day gets away from you.
Choose a track
Follow a path, or pull one lesson into your day
Choose a complete track when you want depth, or pick one focused lesson when you want a useful idea before the next meeting.
ML Foundations
Build the core intuitions every ML practitioner needs — from vectors to gradients to loss surfaces.
Transformer Deep Dive
Master every component of the architecture that powers modern AI — from tokens to attention heads.
Vision & Generation
From CNNs to diffusion models — how machines learn to see and create images.
LLM Mastery
Go from understanding Transformers to fine-tuning, aligning, and deploying large language models.
RL & Intelligent Agents
From Q-tables to embodied robots — teach machines to act in the world.
Production ML Systems
Ship models to the real world — distributed training, serving, GPUs, and compilers.
Frontier & Cross-Disciplinary
Where AI meets biology, security, audio, and the cutting edge of research.
Full catalog