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Free course · AI and machine learning

Google Cloud Generative AI Leader Exam Preparation

Preparation for Google Cloud's Generative AI Leader exam, organised around the four sections of the current exam guide: gen AI fundamentals, Google Cloud's gen AI offerings, techniques to improve model output, and business strategy. Covers Gemini, Gemma, Imagen and Veo, Gemini Enterprise and Gemini Enterprise Agent Platform (the successor to Vertex AI), Gemini in Workspace and Gemini Notebook, agents and tooling, prompting, grounding and RAG, the Customer Engagement Suite and AI APIs, SAIF and responsible AI, and choosing and measuring use cases. Preparation for the exam, not the Google Cloud certification itself.

See the modules

Free to learn. Verifiable certificate £19 when you pass the final exam (optional, VAT included).

Level
Beginner
Modules
12
Video
16 hours
Price
Free

Outcome

What you will be able to do

Explain AI, ML, foundation models and the ML lifecycle and judge data quality; place Google's products in the five layers of the gen AI landscape and choose between Gemini, Gemma, Imagen and Veo; use Gemini in Workspace and Gemini Notebook and explain Gemini Enterprise; design an agent with tools and human approval; overcome model limitations with prompting, grounding, RAG, fine-tuning and human review; set sampling parameters; match customer-service needs to the Customer Engagement Suite and AI APIs; apply SAIF, IAM, Model Armor and responsible AI; score and measure gen AI use cases; and sit the Generative AI Leader exam with a plan.

  • Map the four Generative AI Leader sections and the 2026 product renames to a study plan
  • Explain foundation models, learning approaches, data quality and the ML lifecycle
  • Place Google's products in the five gen AI layers and choose between Gemini, Gemma, Imagen and Veo
  • Use Gemini in Workspace and Gemini Notebook, and explain Gemini Enterprise and Agent Platform
  • Design an agent with the right tools and human approval
  • Improve output with prompting, grounding, RAG, fine-tuning and sampling parameters
  • Apply SAIF, IAM, Model Armor, privacy and responsible AI to a gen AI system
  • Score gen AI use cases on value and feasibility and measure a pilot with KPIs

Software

A web browser and a Google account. The Gemini app and Google AI Studio have free tiers for the prompting tasks, and Gemini Notebook is free with a personal Google account (check the current limits). Google Cloud Skills Boost's free Generative AI Leader learning path and Google's sample questions are recommended. No Google Cloud billing account is needed.

Hardware

None.

Syllabus

12 modules

Each module has video lessons, notes and a short quiz. The final exam closes the course.

  1. 1The Generative AI Leader exam: sections, format, current product names and a study plan3 lessons
  2. 2Generative AI fundamentals: AI, ML, foundation models, data and the ML lifecycle7 lessons
  3. 3The gen AI landscape on Google Cloud: layers, Google's models and AI infrastructure7 lessons
  4. 4Gemini for everyday work: the Gemini app, Gemini in Workspace and Gemini Notebook8 lessons
  5. 5Agents: Gemini Enterprise, Agent Platform and agent tooling8 lessonsLab
  6. 6Improving model output: limitations, prompt engineering and model choice5 lessonsLab
  7. 7Grounding, RAG, search and sampling parameters7 lessonsLab
  8. 8Customer experience and prebuilt AI APIs6 lessons
  9. 9Secure and responsible AI: SAIF, IAM, Model Armor, privacy and fairness5 lessonsLab
  10. 10Business strategy: choosing use cases, measuring value, and cases from manufacturing and energy8 lessons
  11. 11Exam technique and full review across the four sections1 lesson
  12. 12Final Assessment1 lesson

How it works

How this course works

  1. Watch the video lessonsOne module at a time, at your own pace.
  2. Take the module quizA short quiz at the end of each module shows what stuck.
  3. Keep your notesWrite in My notes beside each module and ask the trainer if you are stuck.
  4. Practise in the labOptionalTry a task from the module in the EDWartens Lab, in your browser.
  5. Sit the final examPass it once you have been through the modules.
  6. Certificate, if you want oneOptionalPaid, and only after you pass. Anyone can check it online.

EDWartens Lab

Practise this in the EDWartens Lab

See the ideas behind the exam in action: write a prompt that returns exact output, make an assistant cite its sources, keep an agent safe, and check a model for fairness.

Works alongside Google Cloud Generative AI Leader Exam Preparation. The Lab is ai for industry practice in your browser: no install, no hardware, free to use. Sign in as a learner and it opens with your account.

Open the free lab See the Lab
AI for industry: Build AI models.

Levels to try with this course

Optional. Skip it whenever you like: it never blocks your progress or your certificate.

Why practise in a lab

Technical work is judged on what you can do: wiring, commissioning, finding a fault. Doing a task yourself teaches more than watching it a second time, and a lab lets you try it safely before you meet real equipment. It does not replace working on real hardware.

  • Practise safely, so a mistake costs nothing.
  • The lab checks your work like a site test, so you know when it is right.
  • Free, in your browser, with nothing to install.

Certificate

An optional certificate when you pass

Learning is free. Pass the final exam and you can have a certificate for £19, including VAT, with a number employers can check online. It records that you completed a free online course; it is not a regulated qualification or a CPD certificate.

  • Your name, the course, its study time and your final exam score
  • A unique certificate number and a QR code to its verification page
  • Issued by Wartens Ltd; add it to your LinkedIn profile in one click
  • Pay now or after you pass: it is issued the moment you pass the final

How the certificate works

Sample certificate for Google Cloud Generative AI Leader Exam Preparation

Credits

Who made the lessons

The video lessons belong to their creators. EDWartens wrote the study plan, notes, quizzes and the final exam.

  • Google Cloud

    Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI, the short lessons of the Generative AI Leader learning path (foundations, data, the gen AI layers, agents and tooling, Workspace and NotebookLM, RAG and search agents, foundation model limitations, top-down and bottom-up strategy, the creative matrix), Gemini Enterprise and Agent Platform overviews, the Customer Engagement Suite and Agent Assist, AI Hypercomputer, measuring the business value of gen AI, common business use cases, and manufacturing examples

  • Google Cloud Tech

    what Gemini Enterprise Agent Platform is, AI agents explained, Model Garden, TPUs, prompt engineering and Gemini prompt design, grounding with Google Search and with enterprise data, how to use RAG, Gemini Enterprise CX, getting started with the ML APIs and Document AI, securing AI with SAIF, and Model Armor

  • Google Workspace

    the Gemini at Work lessons: Gemini in Workspace, meeting notes and scheduling, Help me write and Gems in Gmail, and Google's AI Principles explained

  • Grow with Google

    few-shot prompting from Google AI Essentials

  • ExamPro

    Google's models explained (Gemini, Gemma, Imagen and Veo) and grounding and RAG for the Generative AI Leader exam

  • freeCodeCamp.org

    the full-length Generative AI Leader certification course by Andrew Brown, used as the complete review

  • Victor Dantas

    building an enterprise search app (now Agent Search) and a Conversational Agents walkthrough

  • Stewart Gauld

    Gemini Notebook after the rename from NotebookLM

  • Rishab in Cloud

    how one candidate prepared for and passed the Generative AI Leader exam

  • Ali H. Salem

    a 20-minute summary of Google's gen AI leadership learning path with an exam guide

  • Cloud MadeEasy

    an exam review from a candidate who passed in 2026

Questions

About this course

Is this the Google Cloud Generative AI Leader certification?
No. It is preparation for Google Cloud's Generative AI Leader exam, organised around the exam guide on Google Cloud's site as read on 5 October 2026. The certification is awarded only by Google Cloud to candidates who pass its proctored exam, which you book and pay for with Google Cloud. EDWartens is not affiliated with Google, and every practice question here is original.
What certificate do I get?
An EDWartens Certificate of Completion, issued when you finish the modules and pass the 15-question final at 60 percent, with a number anyone can verify on our site. It is a certificate of completion for a preparation course, not a Google Cloud certification, and it is never described as one.
Is the course free to learn?
Yes. Every module, the notes, the practice tasks, the project and the final assessment are free. Only the EDWartens certificate is paid, if you want one. The Google Cloud exam is booked and paid for separately with Google Cloud.
Does it use the new product names such as Gemini Enterprise Agent Platform and Gemini Notebook?
Yes. The notes use the names in the current exam guide: Gemini Enterprise Agent Platform (the successor to Vertex AI, announced April 2026), Agent Search, Agent Studio, Gemini Enterprise (formerly Agentspace) and Gemini Notebook (formerly NotebookLM). Some videos were recorded before the renames, and module 1 gives a table to translate the old names.
Do I need coding skills or a Google Cloud account?
No. The exam is for leaders in any role and tests no coding. The practice tasks use the Gemini app, Gemini Notebook or Google AI Studio with a free Google account, and can also be done on paper from the videos and notes. No Google Cloud billing account is needed.
Who is this course for?
Engineering managers, project leads, consultants, engineers and graduates anywhere who need to lead or discuss gen AI work and want a recognised business-level credential. The exam guide's target candidate has business-level knowledge of Google Cloud's gen AI products, not technical implementation skills.
How long does the course take?
About 16 hours of video, notes and practice at your own pace, of which about 11.6 hours is video, including a 3.4-hour full review course. The optional project takes about 8 hours more. Most learners plan four weeks before booking the exam.
What should I take next?
Generative AI and LLM Foundations and RAG and Chatbots with LangChain go deeper into how these systems are built, and AI Agents and MCP for Engineers covers agents in code. For another cloud AI exam, AWS Certified AI Practitioner (AIF-C01) Exam Preparation and Microsoft Azure AI Fundamentals (AI-901) Exam Preparation cover the same ideas on AWS and Azure.

The Professional Module is five live days of Siemens PLC, HMI and SCADA with an instructor, then a resume session and a CPD certificate.

See the Professional Module