Build Your AI Data Assistant: A Crash Course

5 Weeks

·

Cohort-based Course

In 4 weeks, build a data assistant that transforms 6-hour analysis tasks into 15-minute conversations, freeing you for work that matters.

Learn how to use these tools

Claude
Supabase

Course overview

Generate accurate data insights in seconds, save days of work

Our course shares the exact system we built at Pulss that revolutionized our data workflows. You'll learn to:


🔍 Structure your data so AI can understand it, letting you ask business questions in plain language and get precise answers in seconds.


⏱️ Connect Claude directly to your data through Supabase, eliminating the hallucinations that plague most AI tools.  


🛠️ Focus on insights and strategy instead of being trapped in spreadsheets or having to build complex SQL queries.


🏛️ Build this powerful system yourself with no coding required—just follow our step-by-step instructions using a practical real-world example.

Who is this course for?

01

Non-technical managers


You know insights exist in your data, but lack the technical skills to extract them without depending on others.

02

Team leaders seeking automation


You've invested in collecting valuable data but don't have the resources to fully leverage it.

03

Business analysts


As your team's data expert, you spend hours on repetitive requests when you should be delivering strategic insights.

What you’ll get out of this course

Build your own AI data assistant that transforms raw data into actionable, visual insights without coding or technical expertise.

Swap complex formulas and queries for natural language exploration that gets you to the answer faster. You'll learn how to build an assistant that speaks to your data directly. Our method reduced a 6-hour analysis task to just 15 minutes.

Organize and structure your datasets in ways that make your assistant more accurate and responsive.

AI is only as good as the data it is provided with. We'll show you practical techniques that eliminate the hallucination and missing context problems that plague most AI + data setups, ensuring your insights are reliable every time.  

Learn in a secure environment with sample data before applying techniques to your own business challenges.  

We use real-world sample data in a controlled environment, showing you best practices for security along the way. By the end of the course, you'll know exactly how to apply these techniques to your own data while maintaining proper safeguards.  

What’s included

Live sessions

Learn directly from your instructors in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

5 live sessions • 19 lessons • 2 projects

Week 1

May 12—May 18

    May

    14

    Course Kick Off

    Wed 5/1410:00 AM—11:00 AM (UTC)

    Understanding AI-Powered Data Analysis

    5 items

Week 2

May 19—May 25

    May

    21

    Data Fundamentals Session + Weekly Q&A

    Wed 5/2110:00 AM—11:00 AM (UTC)

    Data Fundamentals

    3 items

Week 3

May 26—Jun 1

    May

    28

    Tech Setup Session + Weekly Q&A

    Wed 5/2810:00 AM—11:00 AM (UTC)

    Technical Setup For Your AI Assistant

    3 items

    Project: Set up a Supabase account and database

    1 item

Week 4

Jun 2—Jun 8

    Jun

    4

    Building AI Assistant Session + Weekly Q&A

    Wed 6/410:00 AM—11:00 AM (UTC)

    Building Your First AI Analysis Project

    3 items

    Project: Your Own AI Assistant

    1 item

Week 5

Jun 9—Jun 13

    Jun

    11

    Use Cases Session + Weekly Q&A

    Wed 6/1110:00 AM—11:00 AM (UTC)

    Adjust It For Your Own Use Case

    3 items

Bonus

    Community resources

    1 item

    Implementation support

    1 item

Course schedule

3-5 hours per week

  • Wednesday Live Sessions

    1:00pm - 2:00pm EEST

    Join for weekly live sessions and use the rest of the week for self-paced course work.

  • May 12, 2025

    Start the course with a special kick off session, where you will meet your instructors, learn about the course, and get started.

  • Weekly projects

    1-2 hours per week

    Expect small weekly projects that will help you apply the learned practices and tools immediately.

Become an expert AI user

Become an expert AI user

10x faster analysis

 Ask questions about your data in plain English and get immediate answers—the same system that reduced our 6-hour analysis to just 15 minutes.  

 A workflow that actually works  

We know from experience that a lot of AI hype over promises and under delivers. Our course focuses on helping you build an AI data assistant that actually works.  

 Reliable, hallucination-free insights 

Our approach ensures AI only works with your actual data, providing accurate results you can trust for business decisions—unlike generic AI tools that often make things up.  

Meet your instructors

Ričards Križanovskis

Ričards Križanovskis

Specializes in translating business requirements into practical AI solutions. Helps companies across marketing, sales, and operations uncover practical applications of the latest AI tools.  


 "I spent a good chunk of my career trying to make a point using data. It usually involved digging deeper into different datasets, trying to see what stands out, cross checking with other resources, and presenting it in a way that is simple to understand. When I saw what I could do with this assistant setup, it felt unbelievable - doing all these technical things that I was spending so much time on."  

Dagnija Medne

Dagnija Medne

Data scientist with experience from industry leaders like Accenture and Rimi, specializing in AI-powered analytics systems that make complex data accessible. Has transformed data workflows to deliver insights 10x faster.


 “Every data project should start with deep exploration from multiple perspectives. However, this crucial step often gets overlooked because it's time-consuming and answering valuable questions is challenging. Our method frees your hands and mind to ask the right questions before investing in a major project. I find it's not a replacement for data analysis, but rather a powerful tool that finally provides answers to complex questions.”  

Sam Middleton-Beattie

Sam Middleton-Beattie

Expert in implementing AI-powered data assistants for business users. Helps teams automate their analytics workflows and get insights from data without coding.


 "I came from a marketing background and knew how to work with dashboard tools and spreadsheets. But I got really frustrated trying to uncover trends, eventually feeling that the only way to work with data was with SQL. This method changed how I work, letting me focus on the problem, not how to formulate a complex query."  

Frequently Asked Questions

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Build Your AI Data Assistant: A Crash Course