AI and machine learning 路 Free
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.
Inside the course
From the lessons
The Generative AI Leader exam: sections, format, current product names and a study plan
Rishab in Cloud
Generative AI fundamentals: AI, ML, foundation models, data and the ML lifecycle
Google Cloud
The gen AI landscape on Google Cloud: layers, Google's models and AI infrastructure
Google Cloud
Gemini for everyday work: the Gemini app, Gemini in Workspace and Gemini Notebook
Google Cloud
Agents: Gemini Enterprise, Agent Platform and agent tooling
Google Cloud
Improving model output: limitations, prompt engineering and model choice
Google Cloud
Lesson frames belong to the creators named in the Credits below and are shown from YouTube.
What you will learn
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
For you
Taking Google Cloud Generative AI Leader Exam Preparation from the United States
- Free in the United States, as everywhere, and self-paced: lessons, notes and the final assessment are open at any hour, so your time zone and shift pattern do not matter.
- The optional certificate for learners in the United States is a one-off US$23.99. What you get for it
- Plants across the Americas most often run Allen-Bradley, Siemens and Inductive Automation; each has its own free course to take next.
- See automation and engineering jobs in the United States, and what the industry looks like in Houston, Detroit and Chicago.
- EDWartens also has a regional site for the United States, for classroom training and local support: edwartens.com/us.
The course project 路 about 8 hours
A gen AI adoption proposal for an engineering firm: use-case scoring, Google product mapping, risks and a measured pilot
Write the two-page proposal a Generative AI Leader would take to a board: which gen AI use cases to start with and why, the Google offering for each, the risks and their controls, and how the pilot's value will be measured. Behind it sit the evidence documents: a scored long list of use cases, a product mapping register, a risk register and a pilot measurement and change plan. The sample pack shows each document for an EPC and maintenance services firm in Pune with site teams in Gujarat and Saudi Arabia.
Sample document pack, 5 documents, filled in for the scenario
- ReportGen AI use cases: long list, scores and data readiness
- RegisterGoogle product mapping for the shortlisted use cases
- Risk registerRisks of the gen AI programme and the first pilot
- PlanPilot plan: procedure assistant, KPIs and change management
- PlanGen AI adoption proposal to the managing director
Read inside the course and download as a workbook. The project is optional practice, marked when you submit it; the certificate needs only the modules and the final assessment.
Course content
12 modules 路 66 lessons 路 11h 35m
In order, at whatever pace suits you. Each module ends with a practice task that builds on the last.
- 01The Generative AI Leader exam: sections, format, current product names and a study plan3 lessons40m
- 02Generative AI fundamentals: AI, ML, foundation models, data and the ML lifecycle7 lessons47m
- 03The gen AI landscape on Google Cloud: layers, Google's models and AI infrastructure7 lessons39m
- 04Gemini for everyday work: the Gemini app, Gemini in Workspace and Gemini Notebook8 lessons41m
- 05Agents: Gemini Enterprise, Agent Platform and agent tooling8 lessons37m
- 06Improving model output: limitations, prompt engineering and model choice5 lessons53m
- 07Grounding, RAG, search and sampling parameters7 lessons56m
- 08Customer experience and prebuilt AI APIs6 lessons58m
Requirements
- Who it is for
- Beginner. For managers, project leads, consultants, engineers and graduates in any role who need to lead or discuss gen AI work. No coding, machine learning or Google Cloud experience is needed.
- 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. What to download, and how
- Hardware
- None.
Software you need
What to download, where from, what it costs and how to install it. Every link goes to the maker's own site, never a mirror.
Nothing to install
A web browser is enough for every module; a free Google account lets you try the Gemini app and Gemini Notebook in the practice tasks.
Optional
Useful, not needed to finish the course.
- 01Free with limits
Google Gemini
Google, in the browser
- Runs on
- Any modern web browser, plus Android and iOS apps
- Account
- A free Google account
Free with a Google account, including a Flash model, limited access to the Pro model, image generation, Deep Research and Gems. Paid Google AI plans give higher limits. Some features require you to be 18 or over.
Steps
- 1.Open gemini.google.com.
- 2.Sign in with your Google account.
- 3.Accept the terms the first time you use it.
- 4.Type your question or upload a file in the prompt box.
- Use a personal Google account. Work or school accounts depend on your administrator's settings.
Open Google Geminigemini.google.com - 02Free with limits
Gemini Notebook (formerly NotebookLM)
Google, in the browser
- Runs on
- Any modern web browser, plus Android and iOS apps
- Account
- A free Google account (age verified)
Free with a personal Google account. Usage limits apply and paid Google AI plans give higher limits and extra features.
Steps
- 1.Open notebook.google (the old notebooklm.google address redirects there).
- 2.Sign in with your Google account and verify your age if asked.
- 3.Create a new notebook.
- 4.Add sources such as PDFs, web links or Google Docs, then ask questions about them.
- NotebookLM was renamed Gemini Notebook in July 2026. Existing notebooks and links still work.
- Only upload documents you have the right to share.
Open Gemini Notebook (formerly NotebookLM)notebooklm.google
Checked against each maker's own page on 27 September 2026. Trial lengths and editions change; the maker's page is the final word.
Google Cloud Generative AI Leader Exam Preparation at a glance
Google Cloud Generative AI Leader Exam Preparation is a free, self-paced online course from EDWartens for managers, project leads, consultants and engineers preparing for Google Cloud's Generative AI Leader exam. It has 12 modules and 11h 35m of video lessons by Google Cloud, Google Cloud Tech, Google Workspace and others, with written notes and worked problems, a practical project with a document pack and a 15-question final assessment (pass mark 60%). Learning is free with an account; an optional certificate with a public verification code is issued when you pass. Last updated 27 September 2026.
All course factsHide course facts
- Price
- Free, for good. No trial, no card. The only paid item is the optional certificate, a small one-off fee.
- Who it is for
- Managers, project leads, consultants and engineers preparing for Google Cloud's Generative AI Leader exam
- Format
- 12 self-paced modules, 11h 35m of video, written notes, a practice task per module and one final assessment.
- Level
- Beginner. Beginner. For managers, project leads, consultants, engineers and graduates in any role who need to lead or discuss gen AI work. No coding, machine learning or Google Cloud experience is needed.
- Brand
- Vendor-neutral
- 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.
- Certificate
- Optional EDWartens Certificate of Completion, verifiable by code. Not a vendor credential.
- Video lessons by
- Google Cloud, Google Cloud Tech, Google Workspace, Grow with Google, ExamPro, freeCodeCamp.org, Victor Dantas, Stewart Gauld, Rishab in Cloud, Ali H. Salem, Cloud MadeEasy (independent creators, credited below)
- Language
- English
- Last updated
- 27 September 2026
A shareable EDWartens certificate
Finish every module and pass the final assessment, and the optional EDWartens certificate is yours. It carries a unique verification code on a public page anyone can check, so it stands up when a recruiter looks it up. See it below.
The course itself stays free whether or not you ever buy one.
Stuck? Ask a practising engineer
A free course usually means a comment section and hope. This one does not. Every module has an Ask-your-trainer panel that reaches the same engineers who teach our paid programme: people who commission panels for a living, not moderators.
Pairs well with
PLC programming 路 FreeSiemens TIA PortalFrom zero electrical knowledge to a working, simulated S7-1200 program, for nothing.
PLC programming 路 FreeSiemens TIA Portal in Three HoursThe first three hours of the Siemens TIA Portal course, cut to end on a win: what a PLC is, how it is wired, a project configured in TIA Portal, and your first ladder program running in simulation. Finish it in an evening or two, earn a certificate, and carry straight on into the full course.
PLC programming 路 FreeTIA Portal: Build a MachineOne machine, start to finish. Take a bottle filling line from a written specification and an I/O list to a structured S7-1200 program with a fill station, a capper, a reject sorter and an operator screen with alarms, then test it against a written record and archive it for hand-over. The lessons are the reference; the machine is yours, and it is what you submit.
Instrumentation 路 FreeInstrumentation for PLC EngineersThe half of the loop that is not code. Follow one measurement from the transmitter in the field, down the 4-20 mA loop, into the analog card, through NORM_X and SCALE_X into engineering units, out again to a valve, and back to the control room when the reading is wrong.More free courses: Free AI courses for engineers 路 Free AI certification exam preparation courses
Learner reviews
No reviews yet
Reviews here are written only by learners who have finished every module of Google Cloud Generative AI Leader Exam Preparation, and they are published exactly as written. Finish the course and yours will be the first.
Common questions
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 does the Google Cloud Generative AI Leader Exam Preparation course give?
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 the Google Cloud Generative AI Leader Exam Preparation 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 Google Cloud Generative AI Leader Exam Preparation 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.
What you walk away with
Your certificate for Google Cloud Generative AI Leader Exam Preparation
Finish the course, pass the final, and this is the document with your name on it.
Verifiable by anyone
Adds to LinkedIn in one click
QR code on the certificate
Names what you can do
A permanent link
Earned, not attended
Learning is free. The certificate is optional.
Add it now and pay only when you have finished the course, or come back for it later. One-off, US$23.99, with a receipt.
Issued by EDWartens, the training division of Wartens, as a Certificate of Completion for this self-paced course. Sold by Wartens Ltd (England and Wales). It is not a vendor certification, a university award or a CPD-accredited activity, and it does not certify competence on live equipment. Delivered electronically; see the refund policy.
Credits
Who made the video lessons
The video lessons in this course were created by the people below, not by EDWartens. Every lesson streams from its creator's own YouTube channel; EDWartens neither hosts nor sells that footage, and the creators are not affiliated with EDWartens and do not endorse this course. What EDWartens wrote is the study plan, the notes, the practice tasks and the assessments.
- Google CloudIntroduction 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 Techwhat 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 Workspacethe 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 Googlefew-shot prompting from Google AI Essentials
- ExamProGoogle's models explained (Gemini, Gemma, Imagen and Veo) and grounding and RAG for the Generative AI Leader exam
- freeCodeCamp.orgthe full-length Generative AI Leader certification course by Andrew Brown, used as the complete review
- Victor Dantasbuilding an enterprise search app (now Agent Search) and a Conversational Agents walkthrough
- Stewart GauldGemini Notebook after the rename from NotebookLM
- Rishab in Cloudhow one candidate prepared for and passed the Generative AI Leader exam
- Ali H. Salema 20-minute summary of Google's gen AI leadership learning path with an exam guide
- Cloud MadeEasyan exam review from a candidate who passed in 2026
If you are one of these creators and would like a lesson removed or credited differently, write to info@wartens.com.