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Google Cloud Generative AI Leader Study Guide

Google Cloud Certified - Generative AI Leader

Google Cloud Generative AI Leader is a business-focused certification for people who lead gen AI adoption. It covers gen AI fundamentals, Google Cloud's gen AI offerings, techniques to improve model output, and business strategies for successful, secure and responsible gen AI. It suits leaders and decision makers in business and technical roles; it tests strategic understanding, not technical implementation.

  • Foundational level
  • 4 exam sections
  • 50 to 60 questions

This guide is free, with no sign-up. It explains every Google Cloud Generative AI Leader exam topic in plain English, one chapter at a time. Read them in order or jump straight to the topic you need.

  • 4chapters
  • 21topics
  • 8diagrams and exhibits
  • 1 h 22 minfast track
Start with Fundamentals of gen AI
  • Every topic follows the same simple pattern: what it is, how it works, common mistakes
  • Diagrams and real command output where a picture explains it best
  • Exam tips and worked subnetting and IPv6 practice, with answers

How the exam is weighted

Each domain is worth this share of the exam, so spend your study time in proportion. Select a domain to open its chapter.

Chapters

Open a chapter to see its topics and how long each takes.

1Fundamentals of gen AI6 topics · 24 min fast trackGen AI concepts, ML approaches and lifecycle, data for AI, the gen AI landscape and Google models.
  1. 1Core Gen AI Concepts4 min
  2. 2Machine Learning Approaches and the ML Lifecycle4 min
  3. 3Choosing a Foundation Model and Gen AI Use Cases4 min
  4. 4Data for Gen AI4 min
  5. 5The Gen AI Landscape4 min
  6. 6Google's Foundation Models4 min
Read the chapter overview →
2Google Cloud's gen AI offerings6 topics · 24 min fast trackGoogle Cloud's AI strengths, Gemini apps, customer experience tools, Agent Platform, RAG and agent tooling.
  1. 1Google Cloud's Strengths in Gen AI4 min
  2. 2Data Control and Democratized AI Development4 min
  3. 3Gemini App, Gemini Enterprise and Gemini for Google Workspace4 min
  4. 4Agent Search and Customer Engagement Suite4 min
  5. 5Building with Agent Platform and RAG4 min
  6. 6Agent Tooling, Agent Studio and Google AI Studio4 min
Read the chapter overview →
3Techniques to improve gen AI model output5 topics · 19 min fast trackModel limitations, monitoring, prompt engineering, grounding and RAG, and sampling parameters.
  1. 1Foundation Model Limitations and How to Address Them4 min
  2. 2Monitoring and Evaluating Gen AI4 min
  3. 3Prompt Engineering Techniques4 min
  4. 4Grounding and RAG4 min
  5. 5Sampling Parameters and Settings3 min
Read the chapter overview →
4Business strategies for a successful gen AI solution4 topics · 15 min fast trackChoosing and implementing gen AI, measuring impact, secure AI with SAIF, and responsible AI in business.
  1. 1Choosing and Implementing a Gen AI Solution4 min
  2. 2Measuring the Impact of Gen AI3 min
  3. 3Secure AI and SAIF4 min
  4. 4Responsible AI, Privacy and Fairness4 min
Read the chapter overview →

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The full Google Cloud Generative AI Leader question bank has 512 questions, with timed practice exams and an explanation for every answer.

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This study guide is independent and is not affiliated with, endorsed by, or sponsored by Google Cloud. Vendor names, certification names and exam codes are trademarks of their respective owners and are used for identification only.