Complete AI Training
Sign inGet started

Certification

Certification in Implementing and Leading Generative AI Solutions on Google Cloud

Get certified in Google Cloud Generative AI Leadership. Prove you can set GenAI strategy, pick the right Vertex AI tools, lead secure, responsible deployments, define governance and guardrails, and deliver ROI with pilots and scaled solutions.

Exam of 10 to 20 questionsCertificate for LinkedInBeginner · Intermediate
Executives and strategyManagementIT and developmentProduct developmentGoogle
Take the exam Share

The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

Become a memberAlready a member? Sign in

What the exam covers

2 questions from each of the 10 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Introduction and exam overview26:49
  2. 02Core GenAI concepts47:51
  3. 03Security2:21
  4. 04Vertex AI Search and RAG Engine26:34
  5. 05Model Garden11:07
  6. 06Customer Engagement Suite25:49
  7. 07Google Agentspace9:03
  8. 08Gemini with Google Workspace7:35
  9. 09Vertex AI Studio40:11
  10. 10Agent Builder6:59
About the course

Google Cloud Generative AI Leader Certification Exam Prep (Video Course) equips you with a practical, exam-focused playbook to pass Google's Generative AI Leader certification. You'll master GenAI fundamentals and the right Google Cloud tools to drive Increased Productivity, Improved Decision-Making, Competitive Advantage, and a Future-Proof Career. Enroll now to gain adaptable, real-world blueprints, tactics for tricky wording, and drill-based practice that accelerate your path to confident, responsible GenAI leadership.

This certification covers the following topics:

  • Core AI and Generative AI fundamentals
  • Foundation models and LLMs (multimodality, limitations, and mitigation)
  • Grounding and Retrieval-Augmented Generation (RAG)
  • Prompt engineering and output quality tuning
  • Google model families: Gemini, Gemma, Imagen, Veo
  • Vertex AI platform and Google AI Studio: when to use each
  • Vertex AI Search and customer engagement solutions (Dialogflow CX, Agent Assist)
  • Responsible AI principles, risk controls, and governance
  • Security for AI: SAIF, secure-by-design practices, and monitoring
  • Business strategy and scenario blueprints: mapping use cases to Google services
  • Exam strategy: high-frequency topics, tricky wording tactics, and practice drills