For BI Engineers
Beyond dashboards. Build data products.
The AI coding course built for BI Engineers. You already know SQL. Now ship full interactive data apps — not just Tableau screenshots — with AI doing the front-end heavy lifting.
All published lessons are free for the public launch. No credit card.
If you're a BI Engineer, you know the feeling.
Your dashboards are screenshots in Slack
You built something beautiful in Looker or Tableau. It lives behind an SSO wall, gets screenshotted, and loses all interactivity in the process.
You know SQL. You don't know web apps.
Every BI engineer hits the same wall: 'I wish I could wrap this query in a real interactive tool.' AI coding tools just removed that wall.
Stakeholders ask for one more filter. Forever.
You build a dashboard, they ask for a drilldown, you build that, they ask for an export. With a real app, they self-serve.
What you'll be able to do
Concrete outcomes. Not a certificate that sits in your LinkedIn.
- Ship interactive data apps with charts, filters, and drill-downs — beyond what any BI tool allows
- Build internal tools that combine your SQL skills with modern web UX
- Deploy data products to real URLs so stakeholders can self-serve instead of DMing you
- Integrate directly with your warehouse (Snowflake, BigQuery, Postgres) from apps you own
- Graduate with a portfolio capstone — a real data product stakeholders use daily
Your start-here path
Five modules, in this order. Skip the rest until you've shipped one.
Your tool stack
What I'd reach for if I were a bi engineer starting today.
Claude Code
You already live in a terminal. Claude Code lives there too — it'll read your dbt project, your warehouse client, and your existing SQL without flinching, and ship something maintainable.
Codex
When the frontend is the unknown — interactive charts, filters, a real app around your queries — Codex closes that gap fastest right now.
The modules built for you
16 modules total. 4 of them matter most for bi engineers.
Working with Data
You already know data. This module shows how to pull from your warehouse into a live app instead of exporting to CSV.
Frontend Basics for Data People
You don't need to be a React expert. You need to make your charts interactive and your filters work. That's exactly what this module delivers.
Shipping to Production
Put your data app behind a URL your whole org can use, with authentication and role-based access. No more 'my local Streamlit.'
Capstone
A finished, shipped data product — custom dashboard, self-serve report, or embedded analytics tool — that replaces a recurring request.
BI Engineers ask us
Why not just use Streamlit or Metabase?
Those are fine for rapid prototypes. Prototype Studio teaches you to build on real web tech so your data apps can do things no Streamlit can — auth, custom UX, third-party integrations, mobile responsiveness. You own the whole stack.
I already write Python and SQL. What's new here?
AI-assisted frontend work. Most BI engineers are strong on backend and data but have never shipped a user-facing app. This course closes exactly that gap, fast.
Will this replace Looker or Tableau?
No — and it doesn't need to. Use BI tools for what they're good at (self-serve exploration) and ship custom apps for what they can't do (interactive tools, embedded products, custom workflows).
How much of the course is beginner material I can skip?
Modules 1–3 are beginner foundations. As a BI Engineer you can scan those in an hour. The real value for you starts at module 6 and accelerates through the capstone.
Start free. Ship something real.
The published curriculum gets you from zero to your first shipped web app, then into the workflows that make the habit repeatable.
Different role? We have pages for them too.
Not ready to start a course?
The Builder's Library has 40+ free prompts, guides, and templates — no sign-up required.