Role-Based Programme
RB1230

AI for UX/UI Design

User Research, Experience Design & Interface Innovation

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities for user research, UX analysis, information architecture, interaction design, UI ideation, and design validation.
  • Apply AI to analyse user interviews, feedback, behavioural patterns, journeys, pain points, accessibility considerations, and design opportunities.
  • Use AI to strengthen personas, journey maps, user flows, wireframe concepts, UX writing, interface ideas, and design documentation.
  • Improve UX/UI decision-making through structured research synthesis, usability analysis, design critique, experimentation, and stakeholder communication.
  • Apply responsible AI practices related to user privacy, bias, accessibility, intellectual property, design originality, and human-centred judgement.

Tools covered

Generative AI AssistantsAI Search & ResearchUser Research AnalysisPersona DevelopmentJourney MappingInformation Architecture SupportUX WritingWireframing SupportUI Concept IdeationUsability AnalysisDesign Review SupportPresentation Tools

Who should attend

  • UX Designers
  • UI Designers
  • UX/UI Designers
  • Product Designers
  • Interaction Designers
  • Experience Designers
  • Visual Designers
  • UX Researchers
  • Service Designers
  • Design Researchers
  • Product Managers
  • Product Owners
  • Design System Professionals
  • Digital Experience Professionals
  • Product & Service Management Professionals

Prerequisites & Participant Readiness

  • Experience in UX, UI, product design, digital product development, or user research
  • Familiarity with user journeys, wireframes, interface design, and usability concepts
  • Basic familiarity with Generative AI tools is recommended
  • Understanding of basic human-centred design principles
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, multimodal AI, reasoning models, and AI assistants
  • Exploring AI applications across research, ideation, UX writing, interface concepts, and design review
  • Understanding how AI differs from design, prototyping, and user-research tools
  • Recognising hallucinations, design bias, generic outputs, and AI limitations
Practical activities
  • Mapping the UX/UI design lifecycle to practical AI applications
  • Identifying high-value versus low-value design use cases
  • Comparing traditional and AI-assisted design workflows

Scenarios

User Research to Experience Redesign

User Interviews → Theme Analysis → Personas → Journey Mapping → Pain Points → User Flows → Wireframe Concepts → Experience Recommendation

Participants use AI to analyse a simulated set of user research findings, identify experience problems, and develop a structured redesign recommendation covering personas, journeys, flows, and wireframe concepts.

Low-Usability Product to UX Improvement Plan

Usability Data → User Feedback → Navigation Issues → Interaction Friction → Accessibility Review → Design Alternatives → Prioritisation → UX Improvement Roadmap

Participants use AI to analyse a simulated digital product with usability issues, identify high-impact problems, and develop a prioritised UX/UI improvement roadmap.

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