Course Objective & Scope
Product design teams lose momentum between analysing user interviews, mapping flows, writing empty-state copy and building repetitive screen variants. This course teaches how to use AI not for generic UI templates, but to strengthen the entire product design process from UX research to design-system-compliant handoff.
Coding interview transcripts and synthesising insights with LLMs, modelling user flows and information architecture, component-based UI generation with Figma AI, Figma Make and v0, UX writing and accessibility (WCAG) checks are covered hands-on. Participants work end-to-end on a real product feature from their organisation.
Who Should Attend?
- UI/UX designers and digital product designers
- UX researchers and interaction designers
- Design system owners and product managers
- Prerequisite: experience with Figma and core product design workflows
Key Takeaways
- Synthesise user interview and feedback data while respecting privacy rules
- Map user flows, edge cases and information architecture thoroughly with LLMs
- Build screens faithful to the design system using Figma AI and generative UI tools
- Generate microcopy and error messages aligned with brand tone of voice
- Audit screen designs against accessibility standards and usability heuristics
Curriculum
UX Research Synthesis and Problem Framing
- Extracting themes, JTBD and personas from anonymised interview notes
- Evidence mapping with bias and hallucination checks
Information Architecture, Flows and Edge-Case Discovery
- Generating user journeys, screen flows and state matrices (empty, loading, error)
- Rapid flow diagramming with FigJam AI
Screen Design with Figma AI and Generative UI Tools
- Moving from wireframe to high-fidelity screens with Figma AI, Figma Make and v0
- Preserving existing design system tokens and components
UX Writing and Content Design
- Systematising UI microcopy, onboarding and error messages
- Testing text expansion and localisation across multilingual interfaces
Heuristic Evaluation, Accessibility and Handoff
- Nielsen heuristics and WCAG contrast/hierarchy checks with multimodal LLMs
- Design specification summaries for developer handoff
Other Courses in This Category
-
Moving from concept to interactive, data-driven prototypes with Figma Make, v0, Lovable and Bolt. Product and design teams build multiple design variants in hours for stakeholder alignment and usability testing.
- Live Course
- 5 modules
-
Producing corporate templates, presentations and multi-channel communication assets with Canva Magic Studio, Figma AI/FigJam and Adobe Express/Firefly. Design and communication teams establish a shared workflow balancing speed and brand consistency.
- Live Course
- 4 modules
-
Copyright, commercial licensing, C2PA/Content Credentials, KVKK/GDPR, EU AI Act transparency obligations and brand safety for creative and design teams. Participants build an organisation-specific safe-use checklist and approval policy.
- Live Course
- 5 modules
-
AI-assisted video production from storyboard to final cut using Runway, Sora, Google Veo, Kling, ElevenLabs and HeyGen. Creative and content teams produce social, commercial and corporate videos with consistent characters and camera control.
- Live Course
- 5 modules
-
Introductory programme for design teams covering AI-assisted research, ideation, image generation with Midjourney and Adobe Firefly, prototyping with Figma AI and copyright-safe use, ending with a personal AI design workflow.
- Live Course
- 6 modules
-
Market, competitor and trend research with Perplexity and ChatGPT/Gemini deep research, plus moodboard creation with Midjourney style references and FigJam. Designers produce a source-checked research brief and visual direction board.
- Live Course
- 5 modules
Get in touch
