Speak the vocabulary
Explain the key generative AI ideas and how different sectors put them to work.
Partners and press
Overview
Everyone has a view on generative AI. This hour gives you the vocabulary for it.
Generative AI Fundamentals is a free introductory Databricks course of four short videos and a quiz, about an hour long. It covers where generative AI is used, finding use cases, model trade-offs in quality, latency and cost, safety and agents. The badge is for fundamentals, not a certification exam, and Databricks gives no passing score, question count or expiry.
5Modules
1Hours
5Skills
8Roles
What it covers
Learn all the way down.
Learn all the way down.
Perform when it matters.
Find worthwhile use cases
Use a structured, example-based method to spot business problems that generative AI suits.
Weigh model trade-offs
Understand foundation model basics and the balance between output quality, latency and cost.
Build safely
Describe how applications protect data and reduce fabricated answers, and how agents rely on the models beneath them.
Course outline
Know what generative AI is for,
Know what generative AI is for,
and what it costs to run well.
We design this course ourselves. Databricks issues the credential, and LUNARTECH is independent of Databricks.
Before building anything you need the vocabulary. You learn what a language model does, how prompts, tokens and context fit together, and how different industries already use these systems.
- What a language model does with a prompt
- Tokens, context and how outputs vary
- Text, image and code generation
- Uses in retail, finance, health and media
You build A glossary of ten generative AI terms, each with an example from one sector.
Most ideas for generative AI are not worth building. You use a structured approach with examples to test an idea against the data, the people and the risk, and keep only those that justify the effort.
- Where generative AI fits a problem and where it does not
- Questions to ask of a candidate use case
- Examples of use cases that work
- Judging value against risk
You build A scored shortlist of use cases for one organization, with the reasons for each.
Choosing a model is a trade between quality, speed and price. You learn what a foundation model is, how model size and provider affect each of those three, and why the best choice depends on the task.
- What makes a model a foundation model
- Quality, latency and cost as three dials
- Open and proprietary models compared
- Matching a model to a task
You build A comparison of two models for one task on quality, latency and cost.
A model that leaks data or invents facts is a liability. You learn how applications keep sensitive data protected, why models fabricate answers, and the common ways to reduce both problems.
- What can go wrong with data in an AI application
- Why models state false things confidently
- Grounding answers in trusted sources
- Reviewing outputs before people act on them
You build A risk checklist for one application covering data exposure and false answers.
Agents build on language models by deciding what to do next. You see how a model acts as the reasoning core of an agent, and what that adds to a plain question-and-answer system.
- From answering to acting
- The model as reasoning engine
- Tools and goals in simple terms
- What agents add and what they risk
You build A short note explaining, for a colleague, when a plain model is enough and when an agent is needed.
Issued by
Certifying body · Independent of LUNARTECH
Databricks
Databricks builds the lakehouse platform its credentials test. Certification exams are proctored, stay valid for two years and are retaken to renew, while badges are free. Retakes wait 14 days and are paid. LUNARTECH is independent of Databricks.
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.
Free badge level. Check Databricks’s official page for what it expects before you begin.
Work through the course.
Five modules, designed by LUNARTECH, at your own pace.
Earn it with Databricks.
Databricks issues the credential, so you earn it 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. Databricks’s credential comes from Databricks.
Certificate of completion
Your Name
Generative AI Fundamentals 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. Databricks issues the credential.
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.
- 01Key ideas
- 02Use cases
- 03Models
- 04Safety
- 05Agents
-
Picking the first use case sets the budget. Quality, latency and cost shape that pick.
Use cases, Models, Safety
Enterprise teams, Customer service, Financial services
-
Every build starts from the same basics. Models, safety and agents are the common ground.
Models, Safety, Agents
Software products, Customer service
-
Colleagues will ask what generative AI can do. You should have a straight answer.
Key ideas, Use cases
Enterprise teams, Financial services
-
You pick use cases where a model’s quality is good enough. Latency and cost limits shape what you can promise.
Use cases, Models
Software products, Enterprise teams
-
Safe application design starts with knowing how models fail. You ask better questions once the basics are clear.
Safety
Financial services, Enterprise teams
-
Foundation models become another service your code calls. Agents add loops and tools on top of that service.
Models, Agents
Software products, Customer service
-
You map business problems to what generative AI can do. Clear terms let you brief technical teams better.
Key ideas, Use cases
Enterprise teams, Financial services
-
Chat and summaries are first uses in a service team. Safety rules decide what an assistant may say to customers.
Use cases, Safety
Customer service, Enterprise teams
- Enterprise teams
- Customer service
- Financial services
- Software products
AI Leader & Manager
Picking the first use case sets the budget. Quality, latency and cost shape that pick.
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. Databricks issues it. LUNARTECH is independent of Databricks, 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 credential covers. Databricks has no part in it, and you still earn the credential directly with Databricks.
1 hours, online, self-paced.
We last reviewed it on 5 November 2026, from Databricks’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 Fundamentals.
Learn generative AI basics in one free hour of video. Start with a free trial, or enroll in a plan and work through the course at your own pace. Databricks 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.
