Learn the world's most widely used relational database - and build AI-powered, data-driven applications on top of it, from the very beginning.
MySQL with AI takes you from your very first SQL query through joins, stored procedures, window functions, full-text search, replication, and cloud deployment - and then into integrating modern AI APIs to build intelligent analytics systems, recommendation engines, and automated data pipelines. Written for the 2026 ecosystem, every chapter is practical, current, and grounded in real-world application development.
MySQL powers WordPress, YouTube, Twitter, and millions of web applications worldwide. It is the most commonly required database skill for backend and full-stack developer roles, supported natively by every major framework, ORM, and cloud platform. This book teaches you not just how to use MySQL - but how to design, optimize, and extend it with the AI capabilities defining modern software development.
What you will learn:
- Install MySQL and write your first SQL queries - filtering, sorting, joining, and aggregating data
- Design normalized, scalable relational database schemas from scratch
- Master advanced SQL - window functions, CTEs, subqueries, views, and stored procedures
- Optimize query performance with indexes, execution plans, and InnoDB tuning strategies
- Work with JSON, full-text search, and semi-structured data in MySQL 8.0+
- Secure, back up, replicate, and monitor production MySQL systems
- Deploy MySQL on AWS RDS, Aurora, PlanetScale, and Google Cloud SQL
- Integrate OpenAI and modern LLM APIs directly into MySQL-backed applications
- Use AI to generate, review, and optimize SQL queries for real workflows
- Complete five real-world projects: a sales analytics database, AI reporting dashboard, customer recommendation system, intelligent inventory platform, and an AI-assisted monitoring system
Four parts, zero filler:
Part I builds your MySQL foundation - tables, data types, SQL queries, joins, constraints, indexes, transactions, normalization, and performance basics.
Part II covers advanced topics including query optimization, window functions, JSON support, full-text search, security, backup, replication, cloud environments, and scaling strategies.
Part III connects MySQL to the AI era with practical chapters on LLM API integration, AI-assisted query generation, prompt engineering for database tasks, semantic search, vector database concepts, intelligent analytics, and AI-driven data pipelines.
Part IV delivers five complete guided projects you build from start to finish.
The book includes a MySQL quick reference, a data type decision guide, an index strategy reference, a configuration reference, a common errors and fixes guide, and a recommended learning path - everything in one volume.
Whether you are building a web application backend, a reporting dashboard, a recommendation engine, or an AI-powered data pipeline, MySQL is where millions of developers start - and this book is the complete guide to mastering it.
Perfect for: beginners learning their first database, web and full-stack developers building application backends, data analysts who want to write better SQL, and developers who want to add AI and intelligent analytics capabilities to their MySQL-powered systems.
