Most AI/ML roadmaps stop at “learn Python, learn TensorFlow, get a job” — and leave you to figure out the part that actually gets you hired.

This free 15-page guide walks through the whole path, with nothing held back:

The real foundations — what to actually learn, and in what order, without wasting months on math or theory you won’t use yet
A portfolio that gets noticed — why the typical tutorial projects don’t work, and what to build instead (by role: applied ML, NLP/LLM, computer vision, research)
The two interview battles nobody preps for — standard technical/behavioral rounds, and a full step-by-step framework for ML system design interviews, the format that trips up even strong candidates
The stage everyone forgets — how to actually negotiate your offer once you get one

No paywalls, no “upgrade to see the rest” — every stage is fully explained. If you want done-for-you resources at any step (interview question bank, ML system design prep, comp calculator, negotiation scripts), those exist too — but this guide stands completely on its own.