Databases and Backends with AI

Behind every serious app is data: users, orders, messages, records that must be stored, found, changed and protected. Working with that data well is what separates a toy from a tool. This course teaches you to design, query and evolve a real database, and to build a clean backend over it, all by directing an AI in plain language.

Databases and Backends with AI goes deep on the data side of building. You will learn to model your data so it is well organised from the start, ask questions of it in plain English and get exactly what you need, expose it through a friendly API, and change it safely as your app grows, without losing or corrupting anything. You finish by designing a complete, data-driven backend.

No SQL degree and no heavy theory. Everything is taught in plain language with clear diagrams and small examples, and it is tool-agnostic. It builds on full-stack ideas, so knowing the three layers helps. Each module blends a short video overview, illustrated lessons, a knowledge-check quiz, and a hands-on interactive activity.

What you will be able to do:

• Model data with the right entities, fields, types and relationships.
• Query your data: filter, sort, count and combine, described in plain English.
• Expose data through a clean, predictable API with good response shapes.
• Handle scale with pagination and filtering, and return helpful errors.
• Change a database safely using migrations, backups and validation.
• Design a complete data-driven backend for a real app.

Who it is for: Builders who need real data persistence and want to design and work with databases and backends confidently, without becoming database engineers.

Course outline: Orientation · Data Modeling with AI · Queries in Plain English · APIs Over Your Data · Migrations and Safety · Capstone: A Data-Driven Backend.