Build AI/BI dashboards
Navigate and build dashboards, including with the help of Genie Code.
Partners and press
Overview
Every dashboard seems to have its own number. This short course shows the platform’s answer.
Understand Modern Analytics is a free Databricks course of about an hour, listed with its accreditations, ending in a short quiz. It shows how to build AI/BI dashboards, ask questions in plain language through Genie, and use a semantic layer to align metrics. Passing the quiz earns a badge, not a proctored certification, and the page 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.
Ask in plain language
Put questions to your data through Genie spaces instead of writing every query by hand.
Choose how to transform
Match the way you transform data to your job role, on the lakehouse as a shared foundation.
Keep metrics consistent
Use a semantic layer so the same metric reads the same in every dashboard and natural-language tool.
Course outline
Dashboards, plain-language questions
Dashboards, plain-language questions
and metrics that agree.
We design this course ourselves. Databricks issues the credential, and LUNARTECH is independent of Databricks.
Analytics works best when everyone reads from the same place. You see how the lakehouse holds data for analysts, engineers and scientists together, and why one governed copy beats many exports.
- What a lakehouse is, in plain terms
- One copy of data for many teams
- Governance as part of the foundation
- How analytics fits beside engineering and AI
You build A one-page sketch of how three teams in a company would share one data foundation.
A dashboard turns a question into something a team can check every day. You navigate the dashboard editor, build visuals from a dataset, and use Genie Code to draft the parts that would otherwise take longest.
- Finding your way around the dashboard editor
- From dataset to chart
- Filters and parameters for readers
- Drafting with Genie Code and checking its work
You build A small dashboard with three visuals and a filter, built on one dataset.
Not everyone writes SQL, and everyone has questions. You ask questions of governed data in plain language through a Genie space, read the answer and the query behind it, and learn when to trust it and when to check.
- What a Genie space is and what it can see
- Asking clear questions
- Reading the SQL behind an answer
- Spotting an answer that needs checking
You build A list of ten business questions asked in a Genie space, each marked trusted or checked.
People prepare data in different ways depending on their work. You compare the transformation approaches available on the lakehouse and choose one that suits an analyst, an engineer or a scientist.
- Transformation in SQL, notebooks and pipelines
- What an analyst needs from a transformation
- What an engineer needs from one
- Handing work between roles
You build A short guide matching three job roles to the transformation approach each should use.
Two dashboards that disagree about revenue erode trust in both. You see how defining a metric once in a semantic layer makes dashboards and natural-language tools report the same number.
- Why the same metric ends up with two values
- Defining a metric once
- Reusing it in dashboards and Genie
- Keeping definitions owned and documented
You build A metric definition for one measure, used in a dashboard and a Genie question.
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.
Accreditation 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
Understand Modern Analytics 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.
- 01Dashboards
- 02Genie
- 03Lakehouse
- 04Transformation
- 05Semantic layer
-
Stakeholders ask in plain language first. Genie spaces meet them there.
Dashboards, Genie
Business intelligence teams, Finance and operations, Retail analytics
-
Two dashboards should never disagree. A semantic layer is how you ensure that.
Dashboards, Semantic layer
Business intelligence teams, Finance and operations
-
Transformations should fit who uses the result. The lakehouse keeps one copy of the truth.
Lakehouse, Transformation, Semantic layer
Business intelligence teams, Retail analytics
-
You answer questions in plain language without waiting for SQL. One semantic layer ends arguments over whose number is right.
Dashboards, Genie, Semantic layer
Business intelligence teams, Finance and operations
-
Dashboards show how a feature is doing without an analyst. Genie spaces answer follow-up questions on the spot.
Dashboards, Genie
Business intelligence teams, Retail analytics
-
One governed metric means every site reports the same figure. Dashboards replace the weekly slide full of numbers.
Dashboards, Semantic layer
Finance and operations, Business intelligence teams
-
Campaign results update in a dashboard, not in a monthly deck. Plain-language questions speed up your follow-up checks.
Dashboards, Genie
Retail analytics, Business intelligence teams
-
Metric definitions live in one layer that tools share. Transformation steps keep those definitions consistent.
Semantic layer, Transformation
Business intelligence teams, Finance and operations
- Business intelligence teams
- Finance and operations
- Retail analytics
Data Analyst
Stakeholders ask in plain language first. Genie spaces meet them there.
Over 10,000 students trust LUNARTECH
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to learn, build, create and lead.
Engineers
Understand systems all the way down. Build the ones others rely on.
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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.
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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 Understand Modern Analytics.
Learn modern analytics on the Databricks platform in one hour. 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.
