From the "84% of Devs Use AI. Only 18% Feel Ready. This Free 320-Hour Course Is the Bridge." video

Get the 30-Day AI Engineering On-Ramp

84% of developers use AI every day. Only 18% feel professionally prepared. That gap has a name — and as of this month, it has a free, open-source, 11,538-star bridge across it: github.com/rohitg00/ai-engineering-from-scratch by Rohit Ghumare (435 lessons / 20 phases / 320 hours / Python+TypeScript+Rust+Julia / MIT-licensed). The pitch, verbatim from the homepage: "no five-minute videos, no copy-paste deploys, no hand-holding." It is the anti-bootcamp. THE 30-DAY ON-RAMP is the exact 4-week schedule for a working operator with ~10 hours per week — NOT all 320 hours, just the right 36. WEEK 1 — FOUNDATIONS (8hr): Phases 1-3 — linear algebra refresh, probability, gradient descent + logistic regression + 2-layer NN from scratch in NumPy, backprop derivation. Deliverable: working MLP classifying MNIST in <100 lines of NumPy. Stuck? Skip to Phase 3 "MLP from scratch". WEEK 2 — BUILD-FROM-SCRATCH CORE (10hr): Phases 7-9 — tokenization + embeddings, self-attention QKV from scratch, multi-head + positional encoding, tiny transformer block end-to-end, train on tiny Shakespeare, sampling strategies. Deliverable: 6M-parameter transformer that completes Shakespeare lines. WEEK 3 — THE AGENT LAYER (8hr): Phases 13-14 — MCP spec read, minimal MCP server in Python, connect to Claude Desktop, agent loop (plan → tool call → observe → repeat), memory + retry. Deliverable: working MCP server + agent that does ONE useful thing in your workflow. WEEK 4 — SHIP A CAPSTONE (10hr): Phase 19 — pick 1 of 17 capstones, cut to fit 10hr, scaffold + README first, implement core (no frameworks where Rohit said no frameworks), wire production equivalent, push to public GitHub. Deliverable: shipped repo + 500-word write-up. PLUS: the Beyond-Day-30 phase order for the remaining 280 hours (Phases 4-6 / 10-12 / 15-16 / 17-18 / remaining capstones). Full credit to Rohit Ghumare — go star the repo. In 24 months, the gap between framework user and from-scratch engineer is going to decide who is employable. The crossing is on you.

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