Foundations & your first model
FoundationsHow ML really works, and a full end-to-end project: framing, data, training, and honest evaluation.
A free, project-first series for students and makers. We start from your very first model and build all the way up to deep learning and a deployed system you can show off — live, three evenings a week, beginner-friendly.
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Every module ends in something real. By the end you'll have a portfolio, not just notes.
Each session is hands-on and builds on the last — from fundamentals to deep learning to deployment.
How ML really works, and a full end-to-end project: framing, data, training, and honest evaluation.
Regression and classification done right — the workhorses, the metrics that matter, and why models behave the way they do.
Decision trees, random forests, boosting, plus clustering and dimensionality reduction for when there are no labels.
Neural networks from the ground up with Keras — building, training, and the tricks that make deep nets actually learn.
Convolutional networks for images and transfer learning, then recurrent models for sequences and time series.
Attention and transformers in practice, a tour of generative models, and deploying a model so people can actually use it.
New to coding? There's an optional warm-up before Session 1 — Python and the bit of math you actually need.
All 40 seats are taken, but seats do open up — and the next cohort is coming. Join the waitlist below and we'll contact you first, in order, the moment a spot frees up.
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Yes. The Lab is free to join. If it helps you and you'd like to support the time behind it, there's a small optional contribution — never required, and it changes nothing about your access.
No. It's beginner-friendly and built for a mixed group. We share an optional warm-up (Python + the little math you actually need) before Session 1, and we keep every session hands-on.
A laptop and curiosity. We use free tools like Google Colab, so you don't need a powerful machine or a GPU.
Sessions run live on Mon/Wed/Fri, but we share notes and materials so you can catch up. Tell us and we'll help you stay on track.
Finish the series and ship your capstone, and you'll get a certificate of completion you can share on LinkedIn.