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AI+ UX Designer Practitioner™

Course code: NPAP350

Formerly known as AI+ UX Designer™

Redefining User Experience with AI-Driven Design

  • AI + UX Synergy: Transform user experience design by embedding AI into modern design workflows.
  • In-Depth Curriculum: Spans ethical design principles, prototyping techniques, and advanced content creation.
  • Adaptability: Develop strategies to keep pace with rapidly evolving technology while upholding ethical standards.
  • Lead with Impact: Master personalized AI-driven design approaches for UX-focused product development.
75 EUR

91 EUR including VAT

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date		 Place
Type Course
duration		 Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

AI-Enhanced Visual Design and Prototyping

Learners will master the use of AI tools to automate and enhance visual design processes, including prototyping, creating more efficient and innovative design workflows.

User Experience Personalization

Students will learn how to use AI to analyze user behavior and personalize user experiences, making interfaces more adaptive and responsive to individual user needs.

AI-Assisted Content Creation and Strategy

Learners who will go through this course will have the skills to leverage AI for content generation and strategic planning, ensuring content is both relevant and optimally designed for target audiences.

Integrating AI into Design Research and Data Analysis

Learners will develop the ability to employ AI for deeper user research and data analysis, extracting insights that inform better design decisions and user-centric innovations.

Course structure

Module 1: AI and the Modern UX Designer

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

Module 2: AI-Assisted User Research and UX Discovery

  • 2.1 UX Research Foundations
  • 2.2 AI-Assisted Research Planning
  • 2.3 AI-Assisted Research Synthesis
  • 2.4 From Research Insights to Design Decisions
  • 2.5 Case Study: AI-Assisted Discovery for a Digital Banking Experience

Module 3: UX Strategy, Personas, Information Architecture and User Flows

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

Module 4: AI-Assisted UI Design and Design Systems

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

Module 5: AI-Assisted Prototyping and Interaction Design

  • 5.1 Interaction Design Foundations
  • 5.2 AI-Assisted Prototyping
  • 5.3 Conversational and Multimodal Interfaces
  • 5.4 Designing AI-Native Experiences
  • 5.5 Case Study: Designing an AI-Powered Personal Productivity Assistant

Module 6: UX Evaluation, Usability Testing, Accessibility and Iteration

  • 6.1 Usability Evaluation
  • 6.2 AI-Assisted UX Testing
  • 6.3 Accessibility and Inclusive UX
  • 6.4 UX Metrics and Design Iteration
  • 6.5 Case Study: Usability and Accessibility Audit of an AI-Powered Web Application

Module 7: Responsible AI, Trust, Accessibility and AI UX Governance

  • 7.1 Responsible AI and UX
  • 7.2 Trustworthy AI Experiences
  • 7.3 AI Safety, Privacy and Security in UX
  • 7.4 Inclusive and Ethical AI Product Design
  • 7.5 Case Study: Designing a Trustworthy AI Healthcare Assistant

Module 8: AI Product Design, Agentic UX and Capstone

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

Optional Module: AI Agents for UX Design

  • 1.1 What Are AI Agents?
  • 1.2 Applications of AI Agents in UX Design
  • 1.3 Application and Trends for AI Agents in UX Design

Prerequisites

  • A fundamental understanding of core design principles and practices.
  • Basic familiarity with artificial intelligence concepts and their applications.
  • Willingness to adopt AI design tools and appreciate their role in the creative process.

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