Role-Based Programme
RB1229

AI for UX/UI Design

Smarter User Research, Experience Design & Interface Optimisation

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support UX/UI Design across research, ideation, information architecture, interface design, testing, and documentation.
  • Apply AI to analyse user feedback, identify usability issues, develop personas, and map user journeys.
  • Use AI to support UX writing, screen-content development, design ideation, wireframe planning, and interface-review activities.
  • Develop practical skills for usability analysis, accessibility review, design critique, and evidence-based experience improvement.
  • Understand responsible AI use, privacy, bias, accessibility, intellectual property, and human judgement in user-experience design.

Tools covered

Generative AI AssistantsAI Search & ResearchUser Research AnalysisPersona DevelopmentJourney MappingInformation Architecture SupportUX WritingWireframe IdeationUsability AnalysisDesign Documentation

Who should attend

  • UX Designers
  • UI Designers
  • UX/UI Designers
  • Product Designers
  • Interaction Designers
  • Experience Designers
  • Visual Designers
  • UX Researchers
  • UX Writers
  • Information Architects
  • Digital Product Designers
  • Product Managers
  • Design Operations Professionals
  • Product / Service Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of UX, UI, digital products, or customer experience
  • Familiarity with user journeys, wireframes, screens, or design processes is helpful
  • Basic communication and digital-tool skills
  • No programming or technical AI knowledge required
  • Prior AI-tool experience is helpful but not mandatory

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to UX and UI workflows
  • Exploring AI support across research, ideation, content, prototyping, and design review
  • Distinguishing AI assistance from design, prototyping, analytics, and usability-testing platforms
  • Understanding AI limitations, hallucinations, bias, and design-quality risks
Practical activities
  • Identifying recurring UX/UI activities suitable for AI assistance
  • Comparing traditional and AI-assisted approaches to a design task
  • Mapping AI opportunities across the UX/UI design lifecycle

Scenarios

User Feedback to Improved Experience Flow

User Feedback → Theme Analysis → Pain Points → Persona / User Need → Current Journey → Friction Points → Improved Task Flow → Design Recommendation

Participants use AI to analyse sample user feedback, identify usability problems, and develop an improved user journey and task flow for design review.

Product Requirement to UX/UI Concept

Product Requirement → User Context → Information Architecture → Screen Structure → UX Copy → Wireframe Concept → Usability Review → Design Brief

Participants use AI to convert a sample product requirement into a structured UX/UI concept, including screen hierarchy, interface content, interaction ideas, and usability considerations.

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