Explore with Cortex Playground
Try various large language models in Cortex Playground and compare what each one does with your data.
Partners and press
Overview
AI features are easy to demo. This workshop has you use them on data.
Data Science is Badge 6 of Hands-On Essentials, free and self-paced, on AI and ML in Snowflake with Cortex Playground and Analyst. You use several large language models, practice prompt engineering, and try forecasting, classification and other analytics. Automated checks grade the labs, the badge is not a certification, and Snowflake strongly advises Badges 1 and 2 first.
6Modules
8–12Hours
4Skills
8Roles
What it covers
Learn all the way down.
Learn all the way down.
Perform when it matters.
Prompt with intent
Practice prompt engineering to get the answers you need from a language model.
Ask data questions in Cortex Analyst
Use Cortex Analyst to put questions to your data, as part of the hands-on lab work.
Forecast and classify
Apply forecasting and classification, and other advanced analytics features, to derive insight from data.
Course outline
Ask the model, ask the data,
Ask the model, ask the data,
then forecast what comes next.
We design this course ourselves. Snowflake issues the credential, and LUNARTECH is independent of Snowflake.
Different models give different answers. You use Cortex Playground to try several language models on the same task, compare quality, speed and style, and learn what each is better suited to.
- What Cortex Playground is for
- Trying several models on one task
- Comparing quality, speed and style
- Settings that change the output
- Using your own data in a prompt
You build A comparison of three models on one task, with a note on which you would choose.
A model answers the question you ask, not the one you meant. You write prompts with clear instructions, context and examples, ask for a set format, and improve a weak prompt step by step.
- Instructions, context and examples
- Asking for a particular format
- Improving a prompt in small steps
- Spotting made-up answers
- Keeping a record of prompts that work
You build A prompt rewritten four times, with the output of each version and what changed.
Plain-language questions can reach structured data. You use Cortex Analyst to ask questions of tables, read the SQL it writes, and judge when an answer can be trusted and when it should be checked.
- What Cortex Analyst does with a question
- Asking clear questions of a table
- Reading the SQL behind an answer
- Checking an answer against the data
- Why a good description helps accuracy
You build A set of ten questions put to Cortex Analyst, each marked correct or wrong with the reason.
Forecasting turns history into a view of what is likely next. You train a forecast model on a time series, read the prediction and its range, and learn what makes a forecast unreliable.
- Time series data and what a forecast needs
- Training a forecast model
- Reading predictions and intervals
- Adding other variables
- When a forecast should not be trusted
You build A forecast for one time series with its interval and a note on its limits.
Some questions ask which group a record belongs to or what is unusual. You train a classification model, apply it to new records, and try other analytics features such as anomaly detection.
- What classification predicts
- Training and applying a model
- Checking how well it works
- Anomaly detection and similar features
- Choosing a feature for a question
You build A classification model that labels new records, with a simple check of its accuracy.
You combine what you have used into one piece of analysis: a question put in plain language, a forecast or classification behind it, and a written summary that a colleague can read.
- Choosing a question worth answering
- Using Analyst and a model together
- Adding a forecast or classification
- Summarizing results with a language model
- Checking the whole result for errors
You build A short analysis that combines a plain-language question, a model and a written summary.
Issued by
Certifying body · Independent of LUNARTECH
Snowflake
Snowflake makes the data platform these exams cover, and its education team runs the SnowPro program. Exams are delivered through Pearson VUE, at a test center or online, and a certification lasts two years. LUNARTECH is independent of Snowflake.
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.
Snowflake strongly advises Badges 1 and 2 first. Badges 3, 4 and 5 are not mandatory, but they help.
Work through the course.
Six modules, designed by LUNARTECH, at your own pace.
Earn it with Snowflake.
Snowflake 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. Snowflake’s credential comes from Snowflake.
Certificate of completion
Your Name
Data Science 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. Snowflake issues the credential.
3 days free, then $29.97 a month. Your card is only charged once the trial ends.
Included in every plan
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- 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.
- 01Playground
- 02Prompts
- 03Cortex Analyst
- 04Forecasting
-
Forecasts are only useful if someone trusts them. The lab builds one and checks it.
Cortex Analyst, Forecasting
Data science teams, Forecasting and planning
-
Prompt quality sets output quality. The workshop gives you practice with both.
Playground, Prompts
AI and machine learning, Data science teams
-
Plain-language questions open data to more people. Cortex Analyst is where you try that.
Cortex Analyst, Forecasting
Analytics teams, Forecasting and planning
-
Built-in forecasting gives you a baseline before custom code. Prompt tests show how models differ on the same task.
Prompts, Forecasting
AI and machine learning, Data science teams
-
Cortex Analyst answers data questions asked in plain words. You check its results against what finance reports.
Cortex Analyst, Forecasting
Analytics teams, Forecasting and planning
-
Forecasts feed budgets and staffing plans. You compare a built-in forecast with last year’s plan.
Forecasting
Forecasting and planning, Analytics teams
-
Your team can try AI features without waiting on a platform build. You judge which results are ready to share.
Cortex Analyst, Forecasting
Analytics teams, Data science teams
-
Playground lets you test LLM ideas in an afternoon. Prompt practice shows what is realistic to ask of a model.
Playground, Prompts
AI and machine learning, Data science teams
- AI and machine learning
- Analytics teams
- Forecasting and planning
- Data science teams
Data Scientist
Forecasts are only useful if someone trusts them. The lab builds one and checks it.
Over 10,000 students trust LUNARTECH
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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. Snowflake issues it. LUNARTECH is independent of Snowflake, 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. Snowflake has no part in it, and you still earn the credential directly with Snowflake.
8–12 hours, online, self-paced.
Snowflake strongly advises Badges 1 and 2 first. Badges 3, 4 and 5 are not mandatory, but they help.
We last reviewed it on 5 November 2026, from Snowflake’s own pages. Details change, so check the official page before you book.
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The course
Build the skills behind Data Science.
Show you can use Snowflake’s AI and ML features hands-on. Start with a free trial, or enroll in a plan and work through the course at your own pace. Snowflake 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.
