SELECT, joins, aggregations, window functions, CTEs, query optimization, and AI-assisted query writing. The SQL course for engineers who need data fluency — not a database administrator's handbook.
This is a text-first course that links out to the best supporting material on the internet instead of trying to replace it. The goal is to make this the best course on sql ai you can find — even without producing a single minute of custom video.
This course is built by engineers who ship sql ai systems in production. It reflects how these tools actually behave at scale.
Every day includes working code examples you can copy, run, and modify right now. Understanding comes through doing.
Instead of re-explaining existing documentation, this course links to the definitive open-source implementations and the best reference material on sql ai available.
Each day is designed for about an hour of focused reading plus hands-on work. Do the whole course over a week of lunch breaks. No live classes, no quizzes.
Each day stands alone. Read them in order for the full picture, or jump straight to the day that answers the question you have today.
SELECT, WHERE, ORDER BY, LIMIT, the mental model for thinking in sets instead of loops, NULL semantics, and the query execution order that explains why you can't use aliases in WHERE clauses.
INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN — with visual Venn diagrams and real data examples. Self-joins, cross joins, and the join conditions that produce duplicate rows without warning.
COUNT, SUM, AVG, MIN, MAX, GROUP BY mechanics, HAVING for post-aggregation filtering, ROLLUP and CUBE for multi-level summaries, and the aggregation patterns that power every analytics dashboard.
WITH clauses for readable complex queries, correlated subqueries, ROW_NUMBER / RANK / LAG / LEAD over partitions, running totals, and the window function patterns that replace self-joins and subqueries.
EXPLAIN ANALYZE in PostgreSQL, index usage, avoiding full table scans, query rewriting for performance, and using Claude or ChatGPT to write, explain, and optimize SQL queries in your workflow.
Instead of shooting our own videos, we link to the best deep-dives already on YouTube. Watch them alongside the course. All external, all free, all from builders who ship this stuff.
Full SQL courses from basic SELECT to joins and aggregations — for developers who have never written SQL before.
Visual explanations of every join type — inner, left, right, full outer — with real data examples and the edge cases that produce unexpected results.
ROW_NUMBER, RANK, LAG, LEAD, and running totals — the window functions that eliminate complex self-joins and correlated subqueries.
Reading EXPLAIN ANALYZE output, index selection, and the query rewriting patterns that turn slow queries fast.
Writing readable complex queries with WITH clauses, recursive CTEs, and the patterns that make multi-step analysis clear.
The best way to deepen understanding is to read the canonical open-source implementations. Clone them, trace the code, understand how the concepts in this course get applied in production.
Community-maintained SQL practice problems from beginner SELECT queries to advanced window functions — organized by difficulty.
In-process analytical SQL engine. Run every SQL example in this course locally without a database server — just pip install duckdb.
PostgreSQL sample database (DVD rental store). The most-used dataset for practicing SQL joins, aggregations, and window functions.
SQL parser and transpiler in Python. Useful for understanding SQL ASTs and programmatically analyzing or rewriting queries.
Most developers let their ORM handle everything until the ORM generates a terrible query. This course gives you the SQL fluency to know when to drop to raw SQL and how to write it well.
Data quality and feature engineering happen in SQL. This course covers the query patterns for cleaning, transforming, and preparing data for AI workflows.
SQL replaces everything Excel can do with data — and does it on datasets that crash Excel. This course bridges the mental model from spreadsheets to relational databases.
The 2-day in-person Precision AI Academy bootcamp covers data engineering and SQL in depth — hands-on, with practitioners who build AI systems for a living. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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