🗄️Foundation
SQL for AI
Data querying and analysis for AI engineers
Learn SQL from scratch with a focus on data analysis for AI/ML pipelines. Covers joins, aggregations, window functions, CTEs, and integrating SQL with Python and AI workflows.
30 lessons
15 hrs
Beginner
What you will learn
Build real-world projects from scratch
Write clean, production-ready code
Understand core concepts deeply with diagrams
Follow industry best practices
Get hands-on with code in every lesson
Access lifetime updates as the tech evolves
Curriculum
Module 1SQL Foundations3 lessons
Module 2Filtering and Sorting3 lessons
AND, OR, NOT Conditions14 min
BETWEEN, IN, LIKE and IS NULL16 min
DISTINCT, OFFSET and Pagination12 min
Module 3Functions and Expressions4 lessons
String Functions14 min
Number Functions12 min
Date Functions16 min
CASE WHEN and Aliases14 min
Module 4Joins2 lessons
INNER JOIN16 min
LEFT JOIN, RIGHT JOIN and FULL OUTER JOIN18 min
Module 5Aggregations and Grouping2 lessons
COUNT, SUM, AVG, MIN, MAX16 min
GROUP BY and HAVING18 min
Module 6Subqueries and CTEs2 lessons
Subqueries18 min
CTEs with WITH16 min
Module 7Window Functions2 lessons
ROW_NUMBER, RANK and DENSE_RANK18 min
LAG, LEAD and Running Totals16 min
Module 8Database Design for AI3 lessons
Primary Keys, Foreign Keys and Constraints16 min
Indexes14 min
Normalization for AI Systems16 min
Module 9Advanced SQL for AI2 lessons
JSON Columns in MySQL and PostgreSQL18 min
Transactions and Views16 min
Module 10SQL with Python2 lessons
Connecting Python to MySQL and PostgreSQL18 min
SQLAlchemy and Pandas read_sql20 min
25 total lessons across 10 modulesPreview Module 1 free