Programme Content
Module 1: Product Design Foundations
Module 2: AI, Generative AI and Agentic Systems
Module 3: Built to Last
Module 4: Data as a Product Asset
Module 6: Designing Human-AI Work Systems: Workforce Transformation, Role Redesign and the Organisational Psychology of AI Adoption
The Augmentation Imperative: Why the Most Important AI Product Design Decision Is How It Affects the Humans Around It
Mapping Human-AI Workflows: Where Intelligence Assists, Where It Decides and Where Humans Must Lead
Role Redesign in the Age of AI: Creating New Value From Human Capability That AI Releases
The Organisational Psychology of AI Adoption: Fear, Identity and the Change Resistance That Data Cannot Overcome
Designing AI Literacy Programmes That Actually Change Behaviour: From Awareness to Capability to Habit
Leading Teams Through AI Uncertainty: The Communication and Psychological Safety Framework
Measuring Human-AI Collaboration Effectiveness: Beyond Productivity to Wellbeing, Quality and Trust
The Ethical Obligations of Workforce AI Transformation: What Product Leaders Owe the People Their Decisions Affect
Module 7: Product Opportunity Identification
Module 8: Know Your User Deeply
Module 9: Finding What's Worth Building
Module 10: Design Thinking and Human-Centered Innovation
Empathy at Scale: Understanding Users Deeply Through Research, Observation and AI-Assisted Synthesis
From Insight to Idea: Defining the Right Problem and Generating Solutions That Actually Fit
Framing User Problems Where Outcomes Are Non-Deterministic Mapping AI Touchpoints in End-to-End User Journeys
Human-AI Collaboration Patterns: Assist, Augment, Automate
Module 11: Applications of GenAI in Product Design and Workflows
Internal Productivity vs Customer-Facing AI: Choosing Where to Apply GenAI First
Design Simplification Through GenAI: Doing More With Less Complexity Concurrent Engineering With AI: Collapsing the Loop Between R&D and Marketing
Writing PRDs and User Stories With AI Copilots
Generating UX Copy, Onboarding Flows and FAQs
Automating Competitor Research and Feature Benchmarking AI for Product Documentation and Knowledge Management Estimating Cost vs Value of GenAI Features at Scale
Module 12: The Art of Instruction
Module 13: AI-Driven UX, Interaction Design and Human-AI Interfaces
Rethinking the Interface Contract: How AI Changes the Fundamental Relationship Between User, Product and System
The Tripartite AI Interface: Designing for End Users, Channel Members and Suppliers Simultaneously
The UX of Mental Models: Designing With and Against What Users Already Believe About AI
Designing Conversational Flows and Prompt-Driven Interactions
Designing for Uncertainty: UX Patterns for Non-Deterministic Outputs Explainability as Interface: Making AI Reasoning Visible Without Adding Cognitive Load
Building Trust Through Transparency, Control and Fallback Flows Testing the Untestable: Usability Methods for AI Interactions Where Outputs Vary
Module 14: Designing AI Products for Diverse and Global Markets
Module 15: Build to Learn
Module 16: Agile for AI
Module 18: Evidence-Led Product Leadership
Module 19: Personalisation at Scale
Module 20: From Product Decisions to Organisational Accountability
Learn and Apply: Staggered Across Each Module
Build an end-to-end AI-powered product across the programme. Apply concepts from every module to progressively develop your capstone.
Enhance your solution each week as you learn new AI product-building capabilities.
Graduate with a portfolio-ready AI product that showcases your end-toend product-building skills.
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