AI PRODUCT DESIGN

Discover how the course is structured, what you’ll build, and how AI is reshaping design across industries. Meet your instructors, understand expectations, and get a clear roadmap for the capstone project. 

• Instructor introduction
• Course objectives & flow
• The AI landscape today
• Capstone project 
• Q&A

Explore how human-centred design principles apply to AI products. Learn when AI creates genuine user value, where it falls short, and how to design solutions that solve real problems. 

• Human‑centred design in AI products
• The AI product lifecycle
• When AI adds value and when it does not

Build practical understanding of modern AI systems, from LLMs to multimodal tools. Learn how different models perform, where they fail, and how to evaluate cost, speed, and business fit. 

• LLMs, multimodal models, foundational models
• Generative, assistive, & agentic systems
• Capabilities, constraints, latency, cost, & failure modes
• Case Study: Designing an AI product for the airline industry

Learn the real-world workflow for taking AI products from idea to launch. Explore design thinking, AI-assisted delivery, and iterative methods used to improve products over time.

• The design thinking process 
• Iteration, reuse, & learning loops
• Case Study: Spotify Wrapped

Learn how to lead workshops that uncover opportunities, align stakeholders, and define AI product direction. Use practical methods to prioritise ideas and turn discussion into action.

• Problems, goals, & success criteria
• Using AI to support synthesis and documentation
• Ideation & prioritisation
• Case Study: Workshop with an Energy company

Assignment #1: AI Product Opportunity & Framing
Define the problem, user need, AI rationale, and success metrics for your product concept.

Discover how AI has transformed prototyping. Learn to create fast, low-risk product concepts that test desirability, adoption, and user value before major investment. 

• How prototyping has changed with AI tools
• Rapid prototyping for products
• Validation, adoption, & early feedback
• Case Study: Disposable prototypes for an auto manufacturer

Gain firsthand insight into how AI consumer products are built and launched at scale. Learn how experienced teams move from concept to shipped experience in real business environments. 

• Creating and shipping an AI consumer product
• Q&A
• Case Study: Designing and shipping an AI consumer product

Assignment #2: Product Prototype
Create a clear product proposition, define system behaviour, and outline key data inputs and outputs.

Learn how research and usage data help improve AI products over time. Explore testing methods, experimentation, and evidence-led iteration that drives better decisions. 

• Research methods for AI products
• Testing with users
• Experimentation and iteration using real usage
• Case Study: Developing an AI engineering assistant with a major auto manufacturer

Explore how to turn promising concepts into scalable user experiences. Learn to design flows where humans and AI work together across complete journeys. 

• User flows for AI‑powered experiences
• Orchestrating human + AI collaboration
• Storyboards, flows, & wireframes

Learn the interface patterns used in successful AI products. Explore transparency, explainability, and how to build consistent experiences with modern design systems. 

• UI patterns for AI products
• Explainable and transparent interfaces
• Using components and design systems
• Case Study: Health dashboard

Assignment #3: User Experience Flow
Create flows, states, and interactions that demonstrate the core AI-enabled experience and testing plan.

Learn how to build responsible AI products that users can trust. Explore fairness, privacy, regulation, and practical ways to reduce risk during product design. 

• Bias & fairness
• Transparency, trust, & accountability
• Privacy, consent, & regulation
• Designing trustworthy AI products
• Case Study: Finance product and working in a regulated industry

Discover how to design for voice and chat-based experiences. Learn common mistakes, zero-UI principles, and how to prototype conversational systems effectively.

• What is conversational AI?
• How to design for zero UI
• Common problems and mistakes
• How to prototype and iterate for voice

Assignment #4: Learning, Iteration, & Responsibility
Develop an interactive prototype with UI components and show how ethical risks are addressed.

Prepare for the next step in your AI design career. Learn industry expectations, portfolio strategy, and how to position yourself for emerging opportunities. 

• Roles in AI product design
• Skills and expectations in the industry
• Building an AI‑focused portfolio
• Career positioning and progression
• Storytelling for complex AI systems

Learn how to present AI product work with clarity and confidence. Share your final concept, receive feedback, and refine how you communicate strategic design thinking. .

• Final student presentations and feedback

Assignment #5: Final AI Product Case Study
Present a complete end-to-end AI product concept showing problem, system behaviour, collaboration, and measurable outcomes.