Explain gen AI plainly
Describe foundation models, prompts and data types to both technical and business colleagues.
Partners and press
Overview
You do not have to build the model. You do have to know what to ask of it.
Generative AI Leader is a Foundational exam for anyone influencing gen AI initiatives, technical or not, with no prerequisites. It tests business-level knowledge of how gen AI works, where it fits, and which strategies make a solution succeed. About 35% covers Google Cloud’s own gen AI offerings, and the rest covers core concepts, output quality and responsible adoption.
9Modules
50–60Questions
90Minutes
8Roles
What it tests
Learn all the way down.
Learn all the way down.
Perform when it matters.
Match Google’s tools to needs
Tell Gemini Enterprise, the agent platform and customer engagement tools apart, and pick one for a use case.
Improve the answers
Reduce hallucination and stale answers with grounding, retrieval-augmented generation and better prompts.
Adopt it responsibly
Plan an adoption, measure its impact, and address security, privacy, bias and accountability.
Course outline
Explain gen AI plainly,
Explain gen AI plainly,
and lead its adoption with care.
We design this course ourselves. Google Cloud runs the exam and issues the credential, and LUNARTECH is independent of Google Cloud.
Leaders need a working picture, not the mathematics. You learn how generative AI differs from earlier AI, what a foundation model is, how models are trained, and how the layers of the landscape fit together.
- Generative and predictive AI compared
- Foundation models and large language models
- How models are trained and used
- The machine learning life cycle in plain terms
- The layers: infrastructure, models, platform, agents and apps
- Explaining it to a non-technical colleague
You build A one-page explainer of how generative AI works, written for your own colleagues.
Different models do different jobs. You learn what Google’s model families produce, how text, image and video models differ, and how to pick a model for a use case by modality, size, openness and cost.
- Gemini and multimodal capability
- Gemma and open models
- Imagen for images and Veo for video
- Model size, speed and cost trade-offs
- Open versus proprietary choices
- Choosing a model for a stated use case
You build A model choice table for five use cases with reasons.
A model is limited by the information it sees. You learn the kinds of data used with generative AI, why quality and coverage matter, and how poor or biased data leads to poor or biased answers.
- Structured, unstructured and multimodal data
- Labeled and unlabeled data
- Data quality, coverage and freshness
- How bias enters through data
- Who owns and may use the data
- Questions to ask before using data
You build A data readiness checklist applied to one candidate use case.
Google Cloud offers ready tools and build-your-own options. You compare Gemini Enterprise, the agent platform, the customer engagement products and developer tooling, and match each to a type of business need.
- Google Cloud’s strengths for generative AI
- Gemini Enterprise for everyday work
- The agent platform for building applications and agents
- Customer engagement products
- Agent tooling for developers
- Matching an offering to a business need
You build A matching guide that maps six business needs to Google offerings.
Models sound sure even when wrong. You learn the limits of generative AI, including made-up answers and stale knowledge, and the main fixes: grounding answers in trusted sources and retrieval-augmented generation.
- Hallucination and why it happens
- Knowledge cutoffs and stale answers
- Grounding with trusted sources
- Retrieval-augmented generation in plain terms
- Human review where errors are costly
- Judging whether answers are good enough
You build A risk review of one generative AI use case that proposes the right fix for each failure mode.
How you ask changes what you get. You learn prompting techniques and sampling settings such as temperature and top-p, and how they trade creativity against consistency.
- Clear instructions, context and format
- Roles, examples and step-by-step prompts
- Temperature and top-p explained
- Output length and stop settings
- Testing prompts on realistic inputs
- Sharing good prompts in a team
You build A prompt guide for one team, with tested examples and recommended settings.
Technology alone does not change results. You choose use cases, run pilots, set measures before starting, and plan how people and processes change so that a tool gets used.
- Choosing use cases by value and feasibility
- Running a pilot with clear success measures
- Measuring impact and cost
- Involving stakeholders early
- Training and change management
- Scaling what works
You build An adoption plan for one pilot with measures, owners and a review date.
Responsible use is part of success, not an afterthought. You learn security and privacy risks specific to generative AI, Google’s Secure AI Framework, and how to address bias, fairness and accountability.
- Security and privacy risks in generative AI
- Google’s Secure AI Framework
- Protecting sensitive and customer data
- Bias and fairness
- Transparency and accountability
- Human oversight and review
You build A responsible AI checklist applied to an adoption plan.
Combine the whole subject in one proposal. You choose a use case, pick a model and offering, plan how to improve output, address risk, and set the measures that show whether it worked.
- Choosing and framing the use case
- Selecting a model and Google offering
- Planning grounding and prompts
- Covering security and responsible AI
- Presenting the proposal
You build A short proposal for one generative AI initiative covering approach, risks and measures.
Issued by
Certifying body · Independent of LUNARTECH
Google Cloud
Google Cloud runs this program itself. Exams are taken online with a proctor or at a test center, and list prices rise with the level, from Foundational to Professional. Credentials last two or three years and can be renewed. LUNARTECH is independent of Google Cloud.
How you get there
Top-tier roles go to people who can do the work.
Top-tier roles go to people who can do the work.
Here’s how you get there.
Know where you start.
Open to anyone in any job role, with or without hands-on technical experience. Google lists no prerequisites.
Work through the course.
Nine modules, designed by LUNARTECH, at your own pace.
Sit it with Google Cloud.
Google Cloud runs the exam and issues the credential, so you register and book directly with them.
Support
Support at every stage.
Support at every stage.
You won’t be working through this alone.
Before you start
Try it first.
A 3-day free trial opens a selection of the content. Your card is only charged once it ends.
While you learn
Mentors within reach.
Stuck on a concept? Reach out to a mentor whenever you need help.
While you learn
One-on-one sessions.
On the yearly plan, one-on-one sessions give you dedicated support.
Any time
A team behind you.
Write to info@lunartech.ai at any point, from your trial onwards. If your employer is funding you, we’ll set it up with them directly.
All the way through
A schedule that fits around your life.
Your own paceFrom anywhereAt any hour
After the last lesson
Stay in the network.
Your alumni network stays with you: ongoing support, opportunities and industry insight.
Career support
Career support, past the last lesson. Coaching, a sharper resume, real interview preparation and the people to know.
Career direction
Tailored coaching helps you decide where to aim and how to get there.
Strong portfolio
Hands-on projects become work you can show, not just claim.
Resume and profile
Personalized refinement, so what you send says what you can actually do.
Interview preparation
Preparation for the questions that decide it, so you walk in ready.
Network and search
Connections with industry leaders, and an alumni network that stays with you.
Reviews
Real stories from the community.
LUNARTECH Academy has been the most empowering learning experience of my life, giving me a clear, structured path from the absolute basics to building real-world AI systems with confidence.
Your page is fantastic. As a bachelor’s student in Data Science now accepted for a master’s at UConn, your work has been a real source of motivation.
The programme’s clear, bite-sized content and practical projects dramatically improved my speed from fuzzy idea to MVP and my ability to communicate AI value. I followed the system, and it works.
I really appreciate your teaching style and the way you break down complex topics. It has been incredibly helpful.
After years working mainly with R for econometrics, I found your Python machine learning course a refreshing and engaging way to learn Python.
As a Data Science graduate, I want to thank you for the effort you put into making videos to support growing data scientists.
I’ve been following your work since taking your machine learning course, and I’m impressed by your practical approach to applying AI.
Why choose us
Built around how you actually learn.
One standard behind every course, from the first lesson to long after the last.
Hands-on practice
Apply every idea to real problems, so it becomes something you have used, not only seen.
Industry-aligned curriculum
We keep courses current with the tools, techniques and skills the field asks for.
Flexible learning
Study at your own pace, from anywhere, at any hour.
Certificate of completion
Finish the course and earn a certificate that shows what you have learned.
Focus on your success
Personalized learning plans and support structures carry you through the hard parts.
Lifetime alumni network
Stay connected after you finish, with ongoing support, opportunities and industry insight.
Your certificate
It doesn’t raise its voice. Neither will you.
Finish a LUNARTECH course and its certificate is issued in your name, under our signature. Google Cloud’s credential comes from Google Cloud, when you pass its exam.
Certificate of completion
Your Name
Generative AI Leader course
LUNARTECH RISE Academy
Pricing
This course comes with the membership.
This course comes with the membership.
So does everything else.
One membership opens every course, certification, workshop and masterclass in the Academy. Every plan starts with a 3-day free trial. You register and book the exam directly with Google Cloud.
3 days free, then $29.97 a month. Your card is only charged once the trial ends.
Included in every plan
- Every course in the Academy
- Every certification course
- Workshops and masterclasses
- A certificate of completion
- A 3-day free trial
- Learning at your own pace
- The lifetime alumni network
- Upgrades at any time
In practice
Eight roles.
Eight roles.
One credential across them all.
No single job owns it. Here’s where each role leans hardest, and where its work ends up.
- 01Fundamentals
- 02Google offerings
- 03Output quality
- 04Strategy
-
Choosing a gen AI product is a product decision. Fit and measurement come before features.
Google offerings, Strategy
Business strategy, Customer service
-
Gen AI pilots stall without a clear use case. Know what it creates, summarizes and automates.
Fundamentals, Strategy
Business strategy, Financial services
-
Chat agents answer wrongly when ungrounded. Grounding is how you fix that.
Google offerings, Output quality
Customer service, Marketing
-
Clients ask what gen AI can and cannot do. This exam gives you the vocabulary.
Fundamentals, Google offerings, Strategy
Operations, Public sector
-
Responsible adoption needs rules before wide rollout. You can only set them if you know the risks.
Strategy, Output quality
Financial services, Public sector
-
Gen AI drafts quickly and can state wrong facts. Output-quality methods let you steer and check it.
Output quality, Fundamentals
Marketing, Business strategy
-
Process owners find where gen AI really saves effort. Strategy covers which use cases are worth running.
Strategy, Fundamentals
Operations, Customer service
-
A pilot succeeds when goals and owners are clear. Google offerings are the tools you choose from.
Strategy, Google offerings
Public sector, Operations
- Business strategy
- Marketing
- Customer service
- Operations
- Financial services
- Public sector
Product Manager
Choosing a gen AI product is a product decision. Fit and measurement come before features.
Over 10,000 students trust LUNARTECH
LUNARTECH gives you the skills
to learn, build, create and lead.
Engineers
Understand systems all the way down. Build the ones others rely on.
Scientists
Understand what the data says. Build models that hold up.
Researchers
Understand the papers. Build on them, and take the work further.
The field
Anyone can use AI.
Anyone can use AI.
Few can engineer it. This is where that starts.
+340%growth in open roles requiring AI skills
Roles and pay
~35,000 open roles right now
Open roles: Built In, Greenhouse, LinkedIn.
Typical salaries: Glassdoor, Levels.fyi, Payscale, Indeed, Ravio, JobRise, U.S. BLS. Military: 2026 U.S. basic pay, drone officers with aviation incentive pay.
Updated November 2026.
FAQ
Frequently asked questions.
Need help? These answers cover most of what people ask before they start.
No. Google Cloud issues it. LUNARTECH is independent of Google Cloud, and its names and marks belong to it. When you finish a course of ours, you earn a LUNARTECH certificate of completion for that course.
No. We design this course ourselves, around what the exam covers. Google Cloud has no part in it, and you still register and book the exam directly with Google Cloud.
50–60 questions, 90 minutes, online or test center, in English, Japanese, Spanish.
Open to anyone in any job role, with or without hands-on technical experience. Google lists no prerequisites.
3 years. Renew from 180 days before expiry; a pass adds 3 years.
We last reviewed it on 5 November 2026, from Google Cloud’s own pages. Details change, so check the official page before you book.
Our 3-day free trial gives you access to a selection of content in the bootcamps, courses and materials, so you can experience the value of our content first-hand. This includes comprehensive learning materials and interactive sessions. You won’t be charged during this period, though we require your credit card details at the start to ensure a seamless transition should you choose to continue.
Yes, entering your credit card details is a necessary step to begin your free trial. The process is entirely secure, and we ask for it to provide a seamless transition to a paid subscription if you decide to continue beyond the trial. You will only be charged after the trial period ends, with full access to our content based on the plan you choose.
After your 3-day free trial you gain access to the full breadth of our content, depending on the subscription plan you choose. We offer free trials for our monthly, bi-annual and annual plans, and each plan provides a different scope of access and benefits.
If your employer has agreed to fund your learning, in part or in full, please contact us at info@lunartech.ai. We’ll work with you and your employer to set up everything needed for your subscription.
Yes. Our support remains strong both during your free trial and after you subscribe. Reach the team at info@lunartech.ai with any question, whether you’re onboarding, navigating your trial, or need help as a member. Subscribers to the yearly plan also receive dedicated support in one-on-one sessions.
You can upgrade your plan at any time during your subscription. Downgrading is not available for bi-annual or annual plans, but you can cancel and then choose a new plan that suits you better. For bi-annual and annual plans we also offer payment in instalments; please reach out to learn more.
The course
Build the skills behind Generative AI Leader.
Prove you can lead gen AI projects on Google Cloud, without coding. Start with a free trial, or enroll in a plan and work through the course at your own pace. Google Cloud runs the exam and issues the credential.
LUNARTECH is independent of the vendors and certifying bodies listed here. Their names, exam titles and marks belong to them, exams are run by them, and credentials are issued by them. Reviewed 5 November 2026. Catalogues change often, so confirm the details on the official page before you book.
