AI-Assisted Full-Stack Web Development

Learn to build complete web applications faster, without giving up quality or control.

7 daysIntermediate10 modules

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Overview

About this course

Learn to build complete web applications faster, without giving up quality or control. You will work across the full stack, creating responsive front ends, a back-end API and a database, while using AI coding assistants to plan features, generate and explain code, write tests and refactor.

Just as important, you will learn to review AI output critically, protect secrets and data, respect licensing and keep your code secure. The course ends with a capstone project that you build, test and deploy yourself.

What you'll learn

Explain how modern full-stack web applications are structured
Use AI coding assistants to plan, write, explain and refactor code
Write effective prompts and give assistants useful project context
Build responsive front-end interfaces with HTML, CSS and JavaScript
Develop a back-end API connected to a database
Review, test and debug AI-generated code critically
Apply security, privacy and licensing good practice when using AI tools
Version, document and deploy a complete web application

Curriculum

10 modules

Clients, servers and HTTP
Front end, back end and databases
Development tools and environments
Version control with Git

What AI coding assistants can and cannot do
Chat, inline completion and agent modes
Writing clear prompts and providing context
Keeping the developer in control

Semantic HTML
Modern CSS layout with Flexbox and Grid
Responsive and accessible design
JavaScript and the DOM

Components and state
Routing
Fetching data from an API
Generating and refining components with AI

Building a REST API
Routing and middleware
Validation and error handling
Authentication basics

Relational data modelling
SQL essentials
Connecting the API to a database
Using AI to draft queries and migrations

Reading and questioning generated code
Unit and integration tests
Debugging with an assistant
Refactoring safely

Security risks in generated code
Protecting secrets and private data
Licensing and code ownership
Team policies for AI tools

Environment configuration
Deploying the front end and back end
Monitoring and logging
Documentation and handover

Planning a full-stack application
Building it with AI assistance
Code review and testing
Presenting the finished project

Who it's for

Developers with basic web skills who want to build full-stack applications productively and responsibly with AI coding assistants.

Before you start

Basic knowledge of HTML, CSS and JavaScript
Some experience writing code in any language

3 days

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