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Course 10 of 10

SQL & Database Mastery

From Beginner to AI Engineer Level
15 classes1 projectApril 202610-Master-SQL-and-Database-for-AI-World

Databases power every AI product. Go from your first SELECT to window functions, indexing, database architecture, SQL with Python — and SQL for AI engineering with pgvector and RAG.

How links work here: every class, project, notes, code and interview-prep link for this course opens the main course folder on GitHub — https://github.com/waleedkhokar/python-ai-engineering-journey/tree/main/10-Master-SQL-and-Database-for-AI-World — so you always land in the right place, never on a guessed sub-folder.

What You Will Learn

SELECT & FilteringJOINsAggregationsCTEs & SubqueriesWindow FunctionsIndexesDatabase DesignTransactionsSQL + PythonSQL for AI

All Classes

Every class in this course, in order — with exactly what each class teaches. Notes, code and interview prep for each class live in the course folder on GitHub.

00

Setup & Datasets

PostgreSQL install, psql, the sample database.

01

SQL Introduction

What SQL is, DBMS vs RDBMS, command types (DDL, DML, DQL, DCL, TCL).

02

Database Fundamentals

Tables, rows, columns, keys, data types, constraints, CREATE / ALTER / DROP.

03

SELECT & Filtering

SELECT, WHERE, operators, ORDER BY, LIMIT, NULL handling, pagination.

04

Aggregations & GROUP BY

COUNT, SUM, AVG, GROUP BY, HAVING, CASE, FILTER.

05

JOINs

INNER, LEFT, RIGHT, FULL, CROSS and SELF joins, anti-joins, common pitfalls.

06

Subqueries & CTEs

Correlated subqueries, EXISTS, IN, CTEs, UNION, INTERSECT, EXCEPT.

07

Advanced SQL

Window functions, recursive CTEs, ROLLUP / CUBE, LATERAL, JSONB, arrays, full-text search.

08

Transactions & Concurrency

INSERT / UPDATE / DELETE, upsert, ACID, isolation levels, MVCC, locks, deadlocks.

09

Indexes & Performance

Index types, composite, partial and covering indexes, EXPLAIN ANALYZE.

10

Database Design

ER modelling, normalization (1NF to BCNF), denormalization, foreign-key actions.

11

Advanced Database

Views, materialized views, functions, procedures, triggers, roles, RLS, SQL injection.

12

Database Architecture

OLTP vs OLAP, data warehousing, partitioning, replication, sharding, backup, CAP.

13

SQL + Python

psycopg, Pandas + SQL, SQLAlchemy, Alembic migrations, FastAPI integration.

14

SQL for AI Engineering

Text-to-SQL, SQL agents, safe SQL execution, pgvector, hybrid search, RAG.

Projects in this course

Build them all — each project lives in the course folder on GitHub.

Interview Preparation

Every class in this course includes interview preparation. Open the course folder on GitHub for the full material.

Common Interview Questions

The questions interviewers actually ask on this course's topics, with clear, structured answers.

Open Interview Prep

Coding Challenges

Hands-on problems for each class, so you can prove the skill, not just describe it.

Open Interview Prep

Common Mistakes to Avoid

The errors beginners make with these topics — and how professionals avoid them.

Open Interview Prep

Best Practices

How working engineers write this code in production: clean, tested and maintainable.

Open Interview Prep
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