Study guide
How to prepare for the Google Cloud Generative AI Leader exam
The Generative AI Leader certification is a business-oriented exam: it tests whether you can identify, evaluate and champion generative AI solutions on Google Cloud rather than whether you can write the code. Below is the plan and the resource list I used to pass it.
What the exam covers
Generative AI fundamentals
How foundation models, tokens, embeddings and context windows work, and where generative AI fits versus traditional ML. Know the difference between pre-training, fine-tuning and prompting.
Gemini models
The Gemini model family, multimodal inputs, grounding with your own data, and when to pick a smaller/faster model over a larger one for cost and latency.
Vertex AI
Model Garden, Vertex AI Studio, tuning options, evaluation, and deploying models to endpoints. Understand managed vs. self-hosted trade-offs.
Prompt engineering
Zero-shot, few-shot and chain-of-thought prompting, system instructions, structured output, and how retrieval-augmented generation reduces hallucination.
Responsible AI & governance
Google's AI principles, safety filters, bias and fairness, data residency and privacy, plus human-in-the-loop review for high-risk use cases.
AI business strategy
Identifying high-value use cases, estimating ROI, change management, and building an adoption roadmap across teams.
A four-week study plan
Week 1 · Foundations
Read the official exam guide end to end and list every objective. Work through the Generative AI fundamentals learning path and write your own one-line definition for each key term.
Week 2 · Google Cloud tooling
Hands-on time in Vertex AI Studio: run prompts against Gemini, try grounding with a document, and compare model outputs. Practical exposure sticks far better than reading.
Week 3 · Responsible AI & strategy
Study the AI principles and governance material, then map two use cases from your own workplace to a business case: value, risk, and rollout plan.
Week 4 · Review and mock exams
Take the official sample questions, review every wrong answer against the exam guide, and re-read your term list the day before the exam.
Exam-day tips
- Answer from a business perspective — the “best” option is usually the one that balances value, risk and effort, not the most technical one.
- Watch for questions where responsible AI or data governance is the deciding factor.
- When two answers look right, pick the managed Google Cloud service over the custom build.
- Flag and move on; the last ten minutes are better spent on flagged items than on re-reading.