Answer the questions an AI company actually asks its warehouse: what a model costs, which prompt version won, who came back this week.
For
Analysts, data scientists and engineers who query an LLM product's warehouse.
You need
No SQL needed to start. Every query runs in your browser against a seeded warehouse.
Learn the SQL you'll actually run on the job by querying an AI startup's warehouse: LLM cost ledgers, prompt-template versions, retrieval traces, eval runs, retention cohorts. Every lesson is one challenge against the same warehouse you'd see in production. Personalized to your skill level so you only see the modules you actually need.
Syllabus
5 tracks · 11 modules · 46 lessons
Reading the Warehouse
Pull the exact rows a question needs out of an unfamiliar warehouse: named columns, a sort that holds, and a date range that means what you think.
3 modules · 11 lessons
1. Meet the warehouse
Meet the warehouse6 min
2. First queries
Pull recent LLM calls5 min
Debug: the spot-check slice comes back wrong4 min
Every distinct model we route to4 min
Top 20 most expensive calls5 min
Page 2 of the leaderboard4 min
3. Filtering down to the rows you actually want
Start this course
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