Learn AI like it's a game you actually want to play.
Hands-on lessons, real projects, and a code sandbox that grades your work instantly — climb from your first Python script to shipping production AI systems, one belt at a time.
- 11 belts, Explorer to AI Chief Engineer
- Real code, graded instantly
- No credit card required
Every level ends in a harder, multi-skill challenge before you earn your next belt.
Every lesson and passed practice task earns real XP — keep your streak alive as you climb.
Mini projects and capstones — a to-do list CLI, a spam classifier, a deployed model API.
Built to actually teach you, not just entertain you
Every mechanic below exists to make the hard parts of learning AI stick — not to gamify for its own sake.
A real code sandbox
Write actual Python, run it against hidden tests, get graded in seconds — every practice task runs in a real, isolated sandbox, not a quiz.
Gamified, not gimmicky
Belts, XP, streaks, and boss challenges track real progress through real skill — the game layer sits on top of a genuinely rigorous curriculum.
Projects, not just quizzes
Every level builds toward a mini project or capstone you actually ship — a CLI tool, a data pipeline, a model behind a live API.
AI Tutor
Coming soonA tutor that knows your progress and helps when you're stuck — in active development.
The full climb — 11 belts, start to finish
Every level is real, hands-on curriculum — not a preview. This is the actual path every learner climbs.
- Level 0
Explorer
Your first steps into AI and programming — what AI, data, and a model actually are.
- Level 1
Python Apprentice
Real programming fundamentals from the ground up, plus your first look at NumPy/Pandas.
- Level 2
Data Explorer
A deep dive on Pandas, visualizing trends, and the statistics you need — taught just-in-time.
- Level 3
Data Scientist
Hypothesis testing, feature engineering, and your first regression models with real evaluation.
- Level 4
ML Engineer
Classification, clustering, decision trees, random forests, and deploying a model behind a live API.
- Level 5
Deep Learning Engineer
Neural networks from the ground up — backpropagation, CNNs, RNNs, and an early look at Transformers.
- Level 6
NLP Engineer
Tokenization, embeddings, BERT-family models, classification, NER, and summarization.
- Level 7
Generative AI Engineer
Prompt engineering, LLM APIs, embeddings and vector databases, RAG, and AI agents.
- Level 8 · 1st Dan
MLOps Engineer
Running ML in production — Docker, FastAPI, MLflow, model registries, and CI/CD.
- Level 9 · 2nd Dan
AI Systems Architect
Designing AI systems — architecture decisions, cost/latency tradeoffs, and production security.
- Level 10 · 3rd Dan
AI Chief Engineer
From building to leading — responsible AI, org-scale cost optimization, and team strategy.
Ready to start climbing?
Your first lesson is free, no credit card required. Come back tomorrow and keep your streak alive.