AI Solutions Lab: Think It. Build It.

Most courses teach you a tool. This one teaches you to build. You learn to turn a problem you can describe, whether a school's records, a shop's stock, a clinic's appointments or a fleet of laptops and their serial numbers, into working software using AI as your co-builder.

It is a hands-on lab, not a lecture series. You choose a real solution, design it properly, build it in stages, harden it against attack, deploy it to a live domain and learn how to package and sell it. Think it, build it.

What you will build

• A management system of your choice: school, inventory, HR or clinic
• A device-information tool that reports serial number, processor and RAM
• A SaaS prototype with accounts, roles and billing logic
• A live, secure, SEO-ready deployment on your own domain

The journey

1. 1

   Think: frame the problem

   Interviewing users, user stories, scoping an MVP and writing specs AI can build from.

2. 2

   Build with AI: foundations

   Prompting for code, reading and debugging what AI writes, and version control.

3. 3

   Management systems

   Authentication and roles; records, search and reports; school, inventory, HR and clinic patterns.

4. 4

   Tools that talk to devices

   Why a website cannot read a computer's serial number; desktop and agent-based utilities; consent and privacy.

5. 5

   SaaS thinking

   Multi-user accounts, subscription logic, payments and dashboards.

6. 6

   Secure, fast and findable

   Common attack patterns and how to prevent them; backups; performance; SEO fundamentals.

7. 7

   Launch and sell

   Deployment, monitoring, pricing and packaging your solution, then a capstone showcase.

Tools you will use

• AI coding assistants
• HTML, CSS and JavaScript
• A modern backend framework
• Databases
• Git and GitHub
• Hosting and deployment

Who it is for

Entrepreneurs with an idea, developers who want to move faster, freelancers building client systems, and organisations that want to build their own tools.

Before you enrol