An interactive universe for learning artificial intelligence
Learn Artificial Intelligence From Zero to Research.
Explore the complete AI universe through interactive lessons, simulations, projects, experiments and research, from “What is AI?” to designing and defending novel work.
The AI Universe
A connected map of disciplines, from computing foundations and mathematics to agents, infrastructure and research.
Foundations & Programming
Computers, code, and the ideas every other track builds on.
Mathematics for AI
Algebra, calculus, probability, and linear algebra for machine learning.
AI Fundamentals
What artificial intelligence is, its history, and how to think about it.
Machine Learning
How machines learn patterns from data to make predictions.
Deep Learning
Neural networks, backpropagation, and the architectures behind modern AI.
Transformers
Attention, tokens, and the architecture powering today's language models.
Large Language Models
How LLMs are trained, generate text, and are controlled at inference.
Prompt Engineering
Designing, structuring, and evaluating prompts for reliable outputs.
Learning by doing, not by reading
Every major concept follows an active learning loop, built on evidence-based principles: retrieval practice, spaced repetition, interleaving and mastery learning.
- 1Understand
- 2Visualize
- 3Example
- 4Interact
- 5Practice
- 6Apply
- 7Test
- 8Recall
- 9Build
Learning paths for every goal
Follow a role-based track, or build your own route through the knowledge graph.
AI Engineer
Build production AI applications with LLMs, RAG, agents, tool use and evaluation.
Levels 2–5
ML Engineer
Train, evaluate, deploy and monitor machine-learning and deep-learning models.
Levels 3–5
LLM Engineer
Specialize in LLM inference, fine-tuning, serving, quantization and optimization.
Levels 3–6
Forward Deployed Engineer
Embed with customers to design, build and ship AI systems end-to-end in the field.
Levels 3–5
AI Researcher
Read, reproduce and extend research toward novel, defensible contributions.
Levels 5–6
AI Product Manager
Scope, evaluate and ship AI products responsibly and effectively.
Levels 2–4
The AI Lab
Experiment directly in the browser, every lab runs real math client-side. More are rolling out.
Tokenizer Playground
Tokenization
L1 · BeginnerSampling & Temperature
Sampling
L2 · IntermediateGradient Descent Simulator
Optimization
L2 · IntermediateAttention Visualizer
Attention
L3 · AdvancedNeural Network Playground
Neural networks
L3 · AdvancedQ-Learning Gridworld
Reinforcement learning
L3 · AdvancedEmbedding Explorer
Embeddings
L2 · IntermediateVector Search Simulator
Vector search
L3 · AdvancedRAG Pipeline Simulator
RAG
L3 · AdvancedAgent Loop Simulator
Agents
L3 · AdvancedGPU / VRAM Calculator
Inference memory
L3 · AdvancedEvaluation Playground
Evaluation
L3 · Advanced