Course curriculum

    1. Lesson 1: An overview of AI and GenAI

    2. Lesson 2: Types of AI Technologies

    3. Lesson 3: How GenAI Works

    4. Lesson 4: GenAI vs Traditional AI Tools

    5. Lesson 5: Applications in Design and Product Development

    6. Lesson 6: Key Ethical Considerations in AI

    7. Lesson 7: AI-Driven Decision Making in Teams

    8. Lesson 8: Trends and Future of AI in Digital Services

    9. Lesson 9: AI Ecosystem and Tools

    10. Lesson 10: Wrap-Up and Knowledge Check

    11. Knowledge Check

    1. Agile and Lean Methodologies for AI Projects

    2. Introduction to Agile and Lean Methodologies for AI Projects

    3. Lesson 1: Introduction to Agile in AI Projects

    4. Lesson 2: Lean Startup Principles for AI-Powered Products

    5. Lesson 3: Planning and Prioritizing AI Features in Backlogs

    6. Lesson 4: Iteration and Prototyping with AI Components

    7. Knowledge Check

    8. Lesson 5: Story Mapping for AI-Powered User Journeys 5

    9. Lesson 6: Cross-Functional Collaboration in AI Development

    10. Lesson 7: Kanban and Scrum for AI Project Management

    11. Lesson 8: Tracking Metrics for AI Project Success

    12. Lesson 9: Pivoting and Adapting in AI Development

    13. Case Studies

    14. Knowledge Check

    1. Introduction to User Centred Design with AI

    2. Introduction to User-Centered Design with AI

    3. Lession 1: Introduction to User-Centered Design

    4. Lesson 2: User Research with AI Tools: Accelerating Insights

    5. Learn about Notion AI

    6. Lesson 3: Personas and Journey Mapping with AI Assistance

    7. Lesson 4: Prototyping AI Features in Design Systems

    8. Learning Uizard.io using AutoDesigner

    9. Learn about Figma and AI

    10. Lesson 5: Content Design Using GenAI

    11. Knowledge Check

    12. Lesson 6: Accessibility in AI Product Design (WCAG Standards)

    13. Lesson 7: Testing AI Features with Real Users

    14. Lesson 8: Co-Creation and Collaboration in AI Design

    15. Lesson 9: Creating Feedback Loops for Continuous Improvement Using AI

    16. Lesson 10: Adapting Design Systems for AI Capabilities

    17. Knowledge Check

    1. Introduction: Integrating AI Tools into the Workflow

    2. Lesson 1: Overview of AI Tools for Design and Development

    3. Lesson 2: How to Create and Engineer Prompts Effectively for OpenAI and ChatGPT

    4. Lesson 3: Using OpenAI for Prototyping and Content Creation

    5. Lesson 4: AI for User Research (e.g., Surveys, Sentiment Analysis)

    6. Lesson 5: Enhancing Wireframes with AI Tools

    7. Lesson 6: Automating Repetitive Tasks with AI

    8. Lesson 7: Working on Collaboration Platforms with AI (e.g., Miro, Lucid, Figma)

    9. Lesson 8: Version Control and AI-Powered Documentation

    10. Lesson 9: Introduction to No-Code AI Platforms8

    11. Lesson 10: Monitoring AI in Production

    12. Lesson 11: Tool Comparison: Selecting the Right AI Tools

    1. Introduction: Developing and Delivering AI Powered Products

    2. Trends and Future of AI in Digital Services

    3. Lesson 1: Defining the Product Vision for AI Solutions

    4. Lesson 2: Creating AI-Powered MVPs

    5. Lesson 3: AI Integration into Existing Systems

    6. Lesson 4: Collaboration Between Teams for AI Delivery

    7. Lesson 5: Developing Scalable AI Pipelines

    8. Lesson 6: Testing AI Features During Delivery

    9. Lesson 7: Deployment and Monitoring of AI Products

    10. Lesson 8: Post-Launch AI Optimization

    11. Lesson 9: Managing Risks in AI Delivery

    12. Lesson 10: Real-World Launch Stories

    1. Lesson 1: Emerging Trends in AI, GenAI, and UX Design

    2. Lesson 2: Key Trends in AI and UX Design

    3. Lesson 3: Implications for UX Designers

About this course

  • £44.00 first payment, £22.00 / month onwards
  • 69 lessons
  • 0 hours of video content

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