This course contains the use of artificial intelligence. Interviews are expensive. A real number: 350 applications produced four to five interviews. You cannot afford to practice on them.
This is not another machine learning theory course. It is organized by interview round: what the phone screen tests, what signal each of the four onsite rounds is really reading, and what to prepare when. The content comes from one-on-one coaching that continued and kept current, including what has changed lately: whiteboards returning, LLM becoming a resume gate, and interviewers actively screening for candidates reciting answers.
You build four projects on real data: a 480,000-user email A/B experiment where the primary metric “wins” and you still have to veto the launch; a real conversion model; half a million Amazon reviews solved classically and with a transformer, compared on cost and quality; and a timed pandas screen simulation. Every project ships with a verified solution notebook. They go on your resume and they survive the deep-dive.
