Project-based courses in machine learning, deep learning, and generative AI — taught by practitioners and designed to take you from first principles to production.
Learn by building
12 hands-on projects included
Bite-sized lessons, real datasets, and code reviews from mentors at every step.
Beginner
Build rock-solid intuition for regression, classification, and model evaluation — no PhD required.
Intermediate
Train CNNs and transformers from scratch, and learn the tuning tricks that make models converge.
Advanced
Fine-tune large language models, master RAG pipelines, and ship production-ready AI apps.
A guided progression — each stage unlocks the next, with projects that compound.
Python, linear algebra, and core ML concepts — taught through notebooks you run in the browser.
3 weeks · 20 lessons
Train models on real datasets, get code reviews from mentors, and grow a public portfolio on GitHub.
6 weeks · 5 projects
Deploy models behind real APIs, choose a career track, and interview-prep with our hiring partners.
4 weeks · Career support
Lead Instructor · Deep Learning
Elena spent eight years building large-scale recommendation and vision systems before turning to teaching full-time. Her courses have been taken by engineers at Google, Shopify, and Shopify-scale startups alike.
Every lesson is recorded live, then re-cut with your questions baked in — so you learn from the mistakes real learners actually make.
“You don't need a decade of math to build with AI. You need the right map, real projects, and someone who's shipped it before.”