AI-Powered Protoype Building
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- Curriculum
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From Designer to AI-Powered Prototype Builder
Designers who code used to be called unicorns.
The first AI-generated demo feels like magic. The next step is learning how to turn that magic into something real — a prototype grounded in your design system, connected to real data, built in a codebase your engineering team can actually use.
That step is what most AI tutorials skip. This course doesn’t.
What you’ll build
By the end, you’ll have shipped a deployed web app built from your own product idea. It’ll look like your product — your brand, your tokens, your components. It’ll use real data from a Supabase database. It’ll have non-trivial product logic, at least one AI feature wired via API, and a GitHub repo your team can take over.
Not a demo. A starting point for something real.
What you’ll learn
You’ll develop a working command of Claude Code, Claude Design, the Figma MCP integration, Supabase, GitHub, and Vercel. You’ll understand how modern frontends are structured — not to write them from scratch, but to evaluate them, direct AI to build them, and collaborate with engineers as a genuine peer.
Six modules. Each one builds on the last. Each one produces something tangible.
Who this is for
Senior product designers who’ve spent years mastering 2D screen-based design and are ready to work at a different layer of the stack. No coding experience required — but you should be curious, hands-on, and willing to run a terminal command.
Your design instincts are the right foundation for this. That’s not a consolation — it’s the point.
You’ll leave with
— A deployed app you can put in a portfolio or in front of stakeholders
— A branded UI connected to real code, built with your own design system
— Working data, APIs, and product logic that hold up under scrutiny
— A practical, repeatable workflow across the full AI prototyping stack
— The technical vocabulary to stop translating for engineers — and start collaborating with them
| Field | Content |
|---|---|
| Course title | From Designer to AI-Powered Prototype Builder |
| Course slug | ai-prototype-builder |
| Subtitle | Learn to use Claude Code, Figma MCP, Supabase, GitHub, and Vercel to build and deploy real working prototypes |
| Level | Intermediate |
| Language | English |
| Modules | 6 |
| Lessons | 18 |
| Video content | ~4 hours |
| Estimated total study time | 15–20 hours (including hands-on builds) |
| Format | On-demand · Self-paced · Global access 24/7 |
| Certificate | Branded Spatialista completion certificate |
| Price | €247 |
| Founding member price | €97 (first 20–30 enrolments) |
| Free access | Module 01 — The Mindset and the Tools (3 lessons, ~40 min) |
| Last updated | June 2026 |
| Category | AI & Agentic Design |
What you need before you start
- A laptop you can run a terminal on (Mac, Windows with WSL, or Linux — all work)
- A Claude account — Pro or above, for Claude Code and Claude Design access
- A free GitHub account at github.com
- A free Vercel account at vercel.com
- A free Supabase account at supabase.com
- A Figma account — free tier is sufficient for Modules 02 and 04
- A product idea you actually want to build — even a rough one
What you do not need
- Any coding experience or background
- A design tool subscription beyond a free Figma account
- Prior knowledge of React, JavaScript, or any frontend framework
- Any paid tools beyond your Claude Pro subscription
This course is for you if:
You're a senior product or UX designer — probably five or more years in — and you've spent your career mastering 2D screen-based design. Figma is home. You're good at what you do. And you're watching the tooling landscape shift faster than any previous moment in your career.
You've probably experimented with AI tools. Maybe you've been impressed, maybe frustrated, probably both. You've generated a few demos. You've wondered how to make those demos into something more substantial — something that connects to real data, holds up in a stakeholder meeting, and gives engineering a genuine starting point.
That's exactly where this course begins.
This course is also for you if:
You lead a design team and want to understand — properly, not theoretically — what's now possible when a designer works alongside Claude Code. Not because you need to build everything yourself, but because you want to have real conversations with your engineers and make better calls about when to prototype in code vs. in Figma.
This course is not for you if:
You're looking for a general introduction to AI — this course assumes you already know the tools exist and moves straight to using them properly. Or if you're expecting to learn software engineering: this isn't a coding bootcamp, and it doesn't pretend to be one.
What it is: a practical course built by a practitioner, for designers who are ready to do something real with AI — not just talk about it.
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