AI Product Builder · Cohort 1

Turn your idea into a live product in 5 weeks

Build with AI. Ship for real.

You do not need to be a traditional developer to build a digital product any more. AI can help you research the opportunity, design the experience, write the code, connect the services and launch it. This is five weeks of doing exactly that, on your own idea.

Starts: Monday 2 November 2026
Sessions: Mon, Tue & Wed · 18:00–20:00 WAT
Office hours: Sundays · 18:00–20:00 WAT
Demo Day: Mid-December 2026

5 weeks · 30 contact hours · Live online · 40 seats · Demo Day Mid-December 2026, exact date confirmed during the cohort

Apply for a seat

You don’t just learn AI. You use AI to build something real — and in five weeks you go from “I have an idea” to “I built it” to “it’s live”.

No traditional coding background required. You will not write code from scratch — you will direct AI that does, and learn enough to know when it is wrong.

The AI Builder Workflow

The point is not one product. It is a loop you can run again on the next idea, and the one after that.

01
Idea
Find a problem worth solving
02
Validate
Research the market and test the idea
03
Design
Create the experience and the design system
04
Build
Use AI to turn the idea into a working application
05
Secure
Protect your application, data and AI integrations
06
Ship
Deploy to the real world
07
Learn
Collect feedback, analyse usage, improve

Five weeks

Three sessions a week, two hours each. You validate before you design, and you design before you build — so nothing gets made twice.

Week 1

Think & Build with AI

Your AI builder stack

AI models and choosing the right one for the job
Setting up your AI development environment
No-code, low-code and AI-assisted development
Advanced prompting for building
GitHub fundamentals and working with AI coding agents
From a natural-language idea to a working prototype

Outcome. You can use AI as your development partner.

Week 2

Validate

Don't build something nobody wants

Finding problems worth solving
AI-powered market and competitor research
Customer research, personas and value proposition
Idea validation and product-market fit
Writing a PRD and prioritising features
MVP scoping and user journeys

Outcome. A written PRD: what you are building, for whom, and why they should care.

Week 3

Design

Make it look like it belongs

Product design fundamentals, hierarchy and layout
Brand identity, colour and typography
Design systems and reusable components
Responsive design and accessibility
AI-assisted UI and UX design
Turning a PRD into polished interfaces

Outcome. A complete visual identity and design system for your product.

Week 4

Build

AI-powered product development

Turning your PRD into a working application
Frontend and backend fundamentals, APIs and databases
Authentication, file uploads and notifications
AI API integration and cost control
Payments and third-party integrations
Environment variables, secrets and an AI security audit

Outcome. A functioning MVP.

Week 5

Ship

Polish, deploy and launch

AI-assisted debugging and performance
Production readiness and deployment
Custom domains, analytics and error monitoring
Launch strategy and landing pages
Product demo and launch content
Getting your first users and iterating on feedback

Outcome. Your MVP is live on the internet.

What you leave with

You don’t leave with a certificate. You leave with something you built.

A live MVP

A real application, deployed and reachable on the internet.

A design system

Brand identity, colour, typography and UI components.

A product strategy

Market research, customer definition, PRD and MVP scope.

An AI builder workflow

A repeatable process for turning ideas into products.

A GitHub portfolio

Your code and project, documented.

A product demo

Something you can show customers, employers or investors.

Who this is for

Founders: Turn an idea into a testable MVP without hiring a team first
Developers: Build products considerably faster with AI
Designers: Take designs all the way to functional products
Product managers: Move from PRD to working product yourself
Data & business analysts: Turn an insight into an application
Marketers & consultants: Build tools for clients and teams
Students & career switchers: Build real products for a portfolio
Non-technical professionals: Use AI as your development partner

Already an engineer?

This track is about shipping products. If you want to engineer and scale production AI systems — LLMs, RAG, agents, fine-tuning, MLOps — the AI Engineering Bootcamp is the deeper programme.

See the AI Engineering Bootcamp

Apply

Choose a tier, tell me what you want to build, and I will get back to you within two working days to arrange a short conversation. Nothing is owed until we have spoken.