AI Product Design

Your designers are already using AI to create screens faster. But if their work still ends with a static prototype and a handoff, the biggest opportunity is being missed. This hands-on workshop teaches experienced designers how to use AI to frame, design, build, test and release working product experiences.

Format: 1-3 days, tailored to your team. Audience: Intermediate to senior UX, UI and product designers.

Duration: 1-3 days, tailored to your team. Group size: Up to 20 participants. Delivery: Live remote or in-house. Languages: English.

What you will learn

• A live, responsive product experience you can demonstrate, test and discuss.
• A structured product brief and feature specification built from the ground up.
• A reusable interface and component foundation created with AI-assisted tools.
• A working data-backed product flow with authentication and real user states.
• A GitHub repository showing how the product developed across the workshop.
• An AI-assisted usability review and a practical security and release-readiness checklist.
• A repeatable workflow you can apply to future product work independently.

Why this matters now

• AI is compressing the distance between an idea, an interface and a working product. That creates an enormous opportunity for designers, but only when speed is matched by judgement.
• A generated screen can look convincing while hiding broken logic, weak accessibility, insecure data handling or an experience that gives users no control over what the AI is doing.
• This workshop helps designers move further in both directions: left into product framing and strategic decisions, and right into code, testing and implementation. The result is fewer assumptions, more realistic prototypes, better conversations with engineering and a much shorter path between a good product decision and something people can actually use.

350,000+ learners trained · workshops delivered for the United Nations, Adobe, Alibaba, Facebook and enterprise product teams

Your designers are already using AI to create screens faster. But if their work still ends with a static prototype and a handoff, the biggest opportunity is.

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