Role-Based Programme
RB1231

AI for UX/UI Design

Advanced User Research, Experience Design & AI-Powered Product Interfaces

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across UX research, experience strategy, interaction design, interface design, prototyping, testing, and design operations.
  • Use AI-assisted research and analysis to understand user needs, behaviours, pain points, journeys, accessibility requirements, and usability issues.
  • Apply AI to create personas, journey maps, information architectures, user flows, wireframes, interface concepts, UX copy, and design-system guidance.
  • Use AI-assisted evaluation to improve usability, accessibility, consistency, task completion, and overall product experience.
  • Build responsible AI-enabled UX/UI workflows with strong privacy, accessibility, design ethics, validation, and human creative oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchUser Research AnalysisPersona DevelopmentJourney MappingInformation ArchitectureUX WritingWireframing SupportUI IdeationDesign-System SupportUsability AnalysisAccessibility ReviewPrototyping SupportFeedback SynthesisWorkflow AutomationAI Agents

Who should attend

  • UX Designers
  • UI Designers
  • Product Designers
  • Senior Product Designers
  • UX Researchers
  • Interaction Designers
  • Experience Designers
  • Digital Designers
  • UX/UI Leads
  • Design System Professionals
  • UX Writers
  • Product Managers Working with Design Teams
  • Service Designers
  • Design Operations Professionals
  • Leaders Responsible for Digital Product Experience

Prerequisites & Participant Readiness

  • Experience in UX, UI, product design, interaction design, service design, or digital product development
  • Familiarity with user research, user flows, wireframes, prototypes, usability, and interface design
  • Basic awareness of Generative AI and common business applications
  • Comfort working with user, product, design, and research information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, automation, and AI agents
  • Exploring AI applications across research, ideation, UX writing, interface design, and usability evaluation
  • Distinguishing AI-assisted design from autonomous design generation
  • Understanding hallucinations, design bias, privacy, copyright, and human accountability
Practical activities
  • Mapping AI opportunities across the UX/UI lifecycle
  • Identifying tasks suitable for augmentation, automation, or continued human ownership
  • Creating an AI opportunity map for UX/UI teams

Scenarios

High User Drop-Off to UX Redesign Strategy

User Research → Journey Analysis → Funnel Drop-Off → Pain Points → User Flow → Wireframes → Usability Testing → UI Improvements → Success Metrics

Participants use AI to diagnose a digital journey with high user drop-off, combine behavioural and qualitative evidence, redesign the experience, and establish measurable usability and conversion improvements.

Complex Product Interface to Simplified User Experience

User Needs → Information Architecture → Task Analysis → Navigation → Interaction Flow → UI Hierarchy → Accessibility Review → Usability Validation

Participants use AI to simplify a complex product interface, restructure content and navigation, improve task flows and accessibility, and create a validated user-centred design solution.

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