No prior AI background is required — Week 1 starts with onboarding and fast-track foundations, including a Python and API refresher. Comfort with basic coding helps, but you don't need to know AI or ML going in.

170+ hours across 17 weeks — roughly 10 a week. Weekday content is recorded so you fit it around work; build sessions are live on weekends and recorded, so missing one doesn't put you behind.

Two real projects every week for 16 weeks, plus a capstone — 33 builds in total, all on your GitHub. Project 1 is built live with the instructor; Project 2 is the same skill applied to a new input, shipped by you and graded. They start at streaming services and classifiers, move through RAG, evaluation and fine-tuning, then agents, guardrails, deployment, reliability and cost.

Full refund within 14 days of payment, no questions asked. After 14 days the fee is non-refundable, since by then you've had the live sessions and graded reviews. Week 1 is free either way, so you see the real teaching before any money moves.

Check the people, not our word: Vinay's Google and PhD credentials, Randeep's Twitch and Audible record, Sanjay's role at Siemens — all public and verifiable in minutes. Week 1 costs nothing, so you can judge the teaching directly.