Cheat sheet
Cheat sheet
A compact revision page covering the core domains and key concepts for your exam.
Open cheat sheetStudy guide
A structured study path for your Google Cloud certification.
Plan your preparation around the official exam domains. Select your certification below.
Choose your certification.
A structured study path for Generative AI Leader.
The exam is not a deep ML engineering test. Prepare by connecting AI concepts, Google Cloud products, and responsible AI principles to business and adoption scenarios.
01
Recommended preparation order
Start with GenAI fundamentals: what LLMs are, how they generate text, and what limits them.
Move into Google Cloud's AI portfolio by connecting each product to a business or developer use case.
Finish with responsible AI principles, governance, organizational readiness, and the AI adoption lifecycle.
02
Weekly rhythm
Watch the guided video for one domain, then review the matching slide material to reinforce terminology.
Use quiz questions before reading explanations — identifying wrong answers teaches more than confirming correct ones.
Ask for AI clarification only after forming your own answer, connecting the concept to a concrete scenario.
03
Before booking the exam
Verify current exam rules, prerequisites, and recommended experience with the official certification provider.
Review responsible AI principles and how each applies to organizational decisions around deploying AI.
Prioritize strategy, adoption, and business implications over deep model architecture or implementation detail.
Use structure to reduce noise.
The NextPrep workspace keeps video, slides, quiz practice, progress, and AI clarification in one preparation loop.
Lead resources
Free entry points for Generative AI Leader preparation.
Practice quiz
Practice quiz
Preview a Google Cloud quiz path before continuing into the full 300-question practice bank.
Try free quiz