How to prepare for the Generative AI Leader exam (and is it worth it?)

You've read the exam pattern, syllabus and cost and you're wondering two things: how do I prepare, and is it actually worth it for me? This post answers both honestly. The exam facts here come from Google's official certification page: 90 minutes, 50–60 multiple-choice questions, USD 99 plus tax, valid for 3 years, no prerequisites.

Step 1: collect the official resources

Everything you need to start is free:

Google notes the exam "was recently updated to reflect branding changes" (for example Gemini Enterprise Agent Platform, formerly Vertex AI). Use the exam guide as your source of truth for names.

Step 2: plan your time by domain weight

The offerings domain trips people up most. Questions are often scenarios: a company wants X; which offering fits best? Make a one-page table of every product in the exam guide with what it is, who uses it and when you'd recommend it.

What a good product-table row looks like

Keep each row short enough to revise in seconds:

Fill in the rest from the exam guide, in your own words. Writing it yourself is half the learning.

Step 3: a 4-week self-study plan

This plan assumes about an hour on weekdays and a longer session at the weekend. Stretch it if gen AI is new to you.

Week 1: fundamentals

• Modules 1–2 of the learning path; study guide section 1.
• Write your own one-line definitions: foundation model, LLM, multimodal, diffusion, fine-tuning, grounding, hallucination.
• Try the parameter playground in Google AI Studio: same prompt at different temperatures.

Week 2: Google Cloud offerings

• Module 3 and the offerings section of the exam guide.
• Build your product table. Explore the Gemini app, Gems and Gemini Notebook (NotebookLM) with a personal account.
• If you can, open a Google Cloud free trial and look around Agent Platform and Model Garden.

Week 3: techniques and agents

• Modules 4–5. Practise zero-, one- and few-shot prompting, chain-of-thought and ReAct.
• Do the RAG in action and build your own agent exercises in AI Studio.
• Learn when grounding with your own data beats grounding with Google Search.

Week 4: business strategy and practice

• Study guide section 4: choosing solutions, change management, ROI, SAIF and responsible AI.
• Take the official sample questions, then a full-length timed practice test (around 55 questions in 90 minutes).
• Review every wrong answer by domain and revise that domain.

Step 4: practise like the real exam

• Time yourself. 90 minutes for 50–60 questions is under two minutes each. Mark hard questions and come back.
• Read the scenario first. Many questions hinge on one detail: data privacy, no-code users, existing Workspace customers.
• Eliminate. Two options are often clearly wrong; choose between the remaining two on the business need.
• Don't trust dumps. Google doesn't publish a passing score and the exam was recently updated, so old question banks mislead. Leaked content can also break the exam terms.

Step 5: exam day

• Online: check Google's online testing requirements in advance: a quiet room, a clear desk, a valid ID, a stable connection and a compatible computer.
• Test centre: arrive early with your ID.
• Read every option, flag and return, and use all 90 minutes.

Is the Generative AI Leader certification worth it?

Here's my honest view for people in India.

It's worth it if you…

• lead, sell or manage projects where AI is being proposed, and need to evaluate options confidently;
• work in pre-sales, consulting or delivery at a company that partners with or sells Google Cloud;
• are a manager or analyst who wants a structured, recognised way to learn gen AI concepts;
• want a business-facing credential to complement technical skills.

It's less useful if you…

• want to become an AI or ML engineer. This is a business-level exam and doesn't test building. Pair it with hands-on projects, or look at Google's engineering certifications;
• expect a certificate alone to get you hired. No foundational certification does that by itself;
• work only with other cloud platforms and never touch Google Cloud or Workspace. A big part of the exam is Google product knowledge.

What makes it count

The certification proves you can hold the conversation. Make it count by showing what you can do: a small grounded assistant over your team's documents, a business case with ROI, a prompt library your team uses. That's why our prep program ends with a capstone: a business proposal plus a working agent or RAG demo.

Self-study or a course?

Our 12-week prep program covers Google's 5 modules and 4 domains with weekly labs, 8 quizzes and two full 90-minute mock exams. We recommend booking the exam only after scoring 80% or more on the second mock. It's independent prep, not official Google training; you pay the exam fee to Google directly, and no one can guarantee a pass.