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AI+ UX Designer Practitioner™

AI+ UX Designer Practitioner™
  • AI + UX Synergy: Revolutionise user experience with AI in design workflows
  • In-Depth Curriculum: Includes ethical design, prototyping, and advanced content creation
  • Adaptability: Build strategies for fast-evolving tech and maintain ethical standards
  • Lead with Impact: Master personalised AI design for UX-focused product development
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Certificate Code

AP-350

Exam Format

AI-Driven Remote Exam Proctoring

Course Overview

Important details and certification information

Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
Basic understanding of design concepts, familiarity with AI principles, interest in AI design tools
50 questions, 70% passing, 90 minutes, online proctored exam

Certification Modules

  1. 1.1 Foundations of AI for UX
  2. 1.2 AI Transformation of the UX Profession
  3. 1.3 AI-Augmented UX Design Workflow
  4. 1.4 Prompting and Critical Thinking for UX Designers
  5. 1.5 Case Study: Transforming a Traditional UX Workflow into an AI-Augmented UX Workflow

  1. 2.1 UX Research Foundations
  2. 2.2 AI-Assisted Research Planning
  3. 2.3 AI-Assisted Research Synthesis
  4. 2.4 From Research Insights to Design Decisions
  5. 2.5 Case Study: AI-Assisted Discovery for a Digital Banking Experience

  1. 3.1 UX Strategy and Problem Definition
  2. 3.2 Personas and Journey Mapping
  3. 3.3 Information Architecture
  4. 3.4 User Flows and Task Flows
  5. 3.5 Case Study: Redesigning the User Journey for an E-Commerce Platform

  1. 4.1 UI Design Foundations
  2. 4.2 AI-Assisted Wireframing and Interface Ideation
  3. 4.3 Design Systems and Reusable Components
  4. 4.4 Responsive and Cross-Platform Design
  5. 4.5 Case Study: Building a Scalable SaaS Product Interface

  1. 5.1 Interaction Design Foundations
  2. 5.2 AI-Assisted Prototyping
  3. 5.3 Conversational and Multimodal Interfaces
  4. 5.4 Designing AI-Native Experiences
  5. 5.5 Case Study: Designing an AI-Powered Personal Productivity Assistant

  1. 6.1 Usability Evaluation
  2. 6.2 AI-Assisted UX Testing
  3. 6.3 Accessibility and Inclusive UX
  4. 6.4 UX Metrics and Design Iteration
  5. 6.5 Case Study: Usability and Accessibility Audit of an AI-Powered Web Application

  1. 7.1 Responsible AI and UX
  2. 7.2 Trustworthy AI Experiences
  3. 7.3 AI Safety, Privacy and Security in UX
  4. 7.4 Inclusive and Ethical AI Product Design
  5. 7.5 Case Study: Designing a Trustworthy AI Healthcare Assistant

  1. 8.1 AI Product and Experience Strategy
  2. 8.2 Agentic and Workflow-Based UX
  3. 8.3 UX Collaboration and Implementation Readiness
  4. 8.4 UX Portfolio and Career Readiness
  5. 8.5 Case Study: End-to-End Design of an AI-Native Product

  1. 1.1 What Are AI Agents?
  2. 1.2 Applications of AI Agents in UX Design
  3. 1.3 Application and Trends for AI Agents in UX Design

AI Tools Covered

Copy.ai
VanceAI
Magician for Figma
UX Pilot
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