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AI+ UX Designer Practitioner™

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Certificate Code: AP-350

Passing Score: 70% (35/50)

Exam Info: 50 MCQs, 90 Minutes

Tagline: Formerly known as AI+ UX Designer™<br><br>Redefining User Experience with AI-Driven Design

Course Overview:

  • 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

Prerequisites:

  • UX Design Fundamentals: Understand basic user experience principles, user-centered design, visual hierarchy, navigation, usability, interaction patterns, and the role of UX in digital product development.
  • AI Fundamentals: Understand basic AI concepts, machine learning, deep learning, generative AI, large language models, prompting, and their applications in UX research and design workflows.
  • User Research Awareness: Understand basic user research methods, including interviews, surveys, observation, qualitative and quantitative analysis, user personas, journey mapping, and evidence-based design decisions.
  • UI Design and Prototyping Basics: Understand wireframing, interface layouts, typography, colour, design systems, responsive design, user flows, interactive prototypes, and common digital design tools.
  • Digital Technology Awareness: Recognize AI-powered design tools, conversational interfaces, multimodal interactions, AI assistants, AI agents, and emerging technologies that support digital product design and user experiences.
  • Responsible AI and Accessibility Understanding: Understand basic principles of inclusive design, accessibility, fairness, transparency, privacy, security, human oversight, and the evaluation of AI-generated outputs to create reliable and trustworthy user experiences.

Tools Used:

  • Copy.ai Copy.ai
  • VanceAI VanceAI
  • Magician for Figma Magician for Figma
  • UX Pilot UX Pilot

Modules:

  • Module 1: AI and the Modern UX Designer
    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
  • Module 2: AI-Assisted User Research and UX Discovery
    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
  • Module 3: UX Strategy, Personas, Information Architecture and User Flows
    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
  • Module 4: AI-Assisted UI Design and Design Systems
    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
  • Module 5: AI-Assisted Prototyping and Interaction Design
    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
  • Module 6: UX Evaluation, Usability Testing, Accessibility and Iteration
    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
  • Module 7: Responsible AI, Trust, Accessibility and AI UX Governance
    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
  • Module 8: AI Product Design, Agentic UX and Capstone
    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
  • Optional Module: AI Agents for UX Design
    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

What You’ll Learn:

  • 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.

Career Opportunities:

  • AI UX Design Lead — Lead UX teams in integrating AI-driven solutions to enhance user experience and design efficiency.
  • AI-Powered Prototyping Specialist — Focus on developing AI-enhanced prototypes and conducting user testing to optimize design workflows.
  • AI-Driven UX Researcher — Use AI tools to automate and analyze user research, providing insights for more personalized designs.
  • AI UX Strategist — Develop and implement AI strategies to improve user experience and design processes across products.
  • AI UX Consultant — Advise organizations on integrating AI technologies into their UX design practices to improve user satisfaction and engagement.

Exam Blueprint:

  • AI and the Modern UX Designer - 7% 
  • AI-Assisted User Research and UX Discovery - 15% 
  • UX Strategy, Personas, Information Architecture and User Flows - 15%
  • AI-Assisted UI Design and Design Systems - 15% 
  • AI-Assisted Prototyping and Interaction Design - 12% 
  • UX Evaluation, Usability Testing, Accessibility and Iteration - 12% 
  • Responsible AI, Trust, Accessibility and AI UX Governance - 12% 
  • AI Product Design, Agentic UX and Capstone - 12%

Self-Study Materials:

  • Videos Videos: Engaging visual content to enhance understanding and learning experience.
  • Podcasts Podcasts: Insightful audio sessions featuring expert discussions and real-world cases.
  • Audiobooks Audiobooks: Listen and learn anytime with convenient audio-based knowledge sharing.
  • E-Books E-Books: Comprehensive digital guides offering in-depth knowledge and learning support.
  • Hands-on Hands-on: Practical experience through real-world exercises, case studies, and applied learning.
  • Module Wise Quizzes Module Wise Quizzes: Interactive assessments to reinforce learning and test conceptual clarity.
  • Additional Resources Additional Resources: Supplementary references and list of tools to deepen knowledge and practical application.

Frequently Asked Questions:

  • Q: What kind of hands-on experience will I gain from this course?
    A: Participants will gain practical experience with AI-assisted content creation, automating user research, and utilizing advanced prototyping techniques. This hands-on approach ensures that graduates can apply what they have learned directly to their design projects.
  • Q: Who would benefit from this certification?
    A: This course is designed for UX designers, product managers, and professionals in related fields who wish to enhance their design workflows with AI. It is also suitable for individuals looking to stay ahead in the evolving landscape of AI-enhanced design.
  • Q: How does the course help with adapting to technological advancements?
    A: The course provides strategies for staying current with rapid technological changes, including continuous learning and adapting design practices to incorporate the latest AI tools and techniques.
  • Q: How will this certification benefit my career?
    A: This certification positions participants at the forefront of digital innovation, equipping them with expertise in AI-driven design principles and user experience optimization. This certification opens doors to new opportunities in industries focused on innovation and digital transformation, positioning you as a leader in AI-driven design.
  • Q: Can this certification be completed online?
    A: Yes, this certification is only available as an online course, allowing you to learn at your own pace and from anywhere in the world. This flexibility makes it accessible to working professionals and students.

Certificate Features:

  • Feature Icon High-Quality Video, E-book & Audiobook
  • Feature Icon Modules Quizzes
  • Feature Icon AI Mentor
  • Feature Icon Access for Tablet & Phone
  • Feature Icon Online Proctored Exam with One Free Retake
  • Feature Icon Hands-on Practices