Coursera
Multimodal Retrieval Augmented Generation (RAG) using the Vertex AI Gemini API
Artificial Intelligence
Library / Artificial Intelligence
On Udemy
The Generative AI Leader is Google Cloud's business-focused credential — it's less about writing model code and more about knowing when to reach for Gemini, what RAG actually solves, and how to talk about responsible AI without hand-waving. That's exactly where most candidates get tripped up, and it's what these six tests drill.
You get 330 questions spread over six full-length, timed papers that mirror the real 55-question, 90-minute format. The mix matches the live blueprint: generative AI fundamentals, business strategy and use cases, Google Cloud's gen AI tooling (Vertex AI, Gemini, Agent Builder), responsible AI, and getting projects into production.
Every question carries a written explanation that tells you why the right answer is right and why each distractor falls apart — because on this exam the wrong options are usually "almost correct," and spotting the difference is the whole skill. Questions and answer order shuffle on every attempt, so you're learning the concept, not memorising "C."Sit one test cold to find your gaps, then work the rest until you're clearing 80%+ comfortably. Do that and the real exam feels familiar.
Disclaimer: This is an independent preparation course. It is not affiliated with, endorsed by, or sponsored by Google LLC. Google Cloud, Vertex AI and Gemini are trademarks of Google LLC. All questions are original practice items written by the author.
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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