Become an AI Engineer

Learn to Code from Scratch

Every AI engineer starts with a working Python environment and basic programming intuition. Skip this if you already write Python daily.

Master Python for Real Projects

Python is the lingua franca of AI engineering. You need to be fluent before you can reason about what a library is doing under the hood.

Build and Deploy Your First Web App

AI features live inside products. Building a web app first teaches you how to wire an LLM response into a UI that real users interact with.

Become AI Engineer

The anchor milestone. Six verified steps from your first API call to a multi-agent system with a real evaluation suite.

skills-ship-ai-product

Shipping to 10 real users is the proof that you can build something people actually want — not just something that works in a demo.

Make Your First Open Source Contribution

Optional but strongly recommended. OSS contributions build your professional reputation and force you to read production-quality code at scale.

The best free practical deep learning course. Starts with working code, explains the theory later. Jeremy Howard's top-down approach is the fastest path from zero to shipping.

Harvard's free Python course. Rigorous, well-paced, and forces you to solve real problems. Better than any tutorial series for building genuine Python fluency.

MIT's free course on the dev tools every engineer uses daily — shell, git, editors, debugging. Most courses skip this entirely. Do not.

Free full-stack curriculum with certificates. Use it to fill specific gaps — the JavaScript, Python, and data structures sections are particularly good.

The best free neural network course on YouTube. Karpathy builds everything from scratch — watching someone who understands it deeply do it slowly is irreplaceable.