Generative AI Leader Exam Prep

What you will be able to do

• You will be able to explain what generative AI is and how it differs from traditional predictive AI, using the exam's core vocabulary of foundation models, tokens, embeddings, and prompts.
• You will be able to identify high-value generative-AI use cases by business function and frame them in terms of ROI, pilots, and build-versus-buy decisions.
• You will be able to apply Google's responsible-AI themes (fairness, transparency, privacy, safety, and human oversight) to real scenarios.
• You will be able to recommend change-management, data-readiness, and cost actions that move a gen-AI initiative from pilot to production.
• You will be able to match a business need to the right Google Cloud offering, including Gemini, Vertex AI, Model Garden, grounding, and agents.
• You will be able to describe how grounding and retrieval reduce hallucination and connect a model to an organization's own data.
• You will be able to answer scenario-based Generative AI Leader questions that use BEST and MOST phrasing with confidence.

What is inside

5 modules, 5 lessons. Each module ends in a graded quiz.

1. 01

   Generative AI fundamentals

   What generative AI is, how it differs from traditional AI, and the core vocabulary the exam assumes you know: foundation models, LLMs, tokens, embeddings, and prompts.

   1 lessons · 5 quiz questions

2. 02

   Business value & use cases

   How generative AI creates measurable value, the common enterprise use cases by business function, and how leaders frame ROI, build-versus-buy, and the cheapest-first way to customize a model.

   1 lessons · 5 quiz questions

3. 03

   Responsible AI

   Google's responsible-AI themes and how leaders operationalize fairness, transparency, privacy, safety, accountability, and human oversight across the generative-AI lifecycle.

   1 lessons · 5 quiz questions

4. 04

   Adoption & change

   What it takes to move generative AI from pilot to production at scale: change management, culture and skills, executive sponsorship, data readiness, and managing cost and risk.

   1 lessons · 5 quiz questions

5. 05

   Cloud AI landscape

   Google Cloud's generative-AI stack: the Gemini model family, the Vertex AI platform and Model Garden, grounding and agents, Gemini for Workspace and Cloud, and the infrastructure beneath them.

   1 lessons · 5 quiz questions