Design smart, usable, and responsible AI-powered product experiences
Building AI Experiences in Your Product is a story-led training class designed to help you design, scope, and deliver AI-powered features that are both useful and trustworthy. Grounded in real-world case studies, the class draws on practical experience from teams building and shipping AI-enabled products in complex organisational environments.
The class equips participants with frameworks and patterns to move from opportunity identification through to launch and iteration. You'll learn how to design AI experiences that respect user needs, manage uncertainty, and align with organisational constraints, while applying critical thinking and responsibility throughout the product lifecycle.
Key questions addressed
This class is designed to help participants answer the following questions in their own context
- How do product managers identify AI opportunities that truly improve the user experience?
- What modern UX patterns work best for AI-driven products?
- How do LLMs behave, and how can product teams design with the constraints in mind?
- How can product managers build safe, responsible AI features with clear guardrails?
- What metrics help measure success and user trust in AI-powered features?
CLASS CURRICULUM
What we cover
Identifying high-value AI opportunities
Designing AI-driven user experiences
Designing with large language models
Scoping responsibly and setting guardrails
Aligning cross-functional teams around AI delivery
Measuring success and trust post-launch
From the course creator
“From discovery to launch, this course turns probabilistic tech into predictable product practice. You’ll master the patterns, guardrails, and measures that let you build AI products that users love, communicate uncertainty with stakeholders, and equip yourself with the frameworks and tools to operate end-to-end as a true full-stack AI PM.”
Angus Allan
AI Innovation Lead at Version 1, Non-Executive Director, Responsible AI Speaker and Coach
Expected outcomes
- Identify where AI can meaningfully improve user and business outcomes
- Design AI-powered experiences that are usable, transparent, and trustworthy
- Apply an informed understanding of LLM capabilities and limitations in product decisions
- Scope AI features responsibly using clear guardrails and trade-offs
- Collaborate effectively across functions to deliver AI features safely
- Measure success and user trust in AI-enabled products
- Apply critical thinking to evaluate uncertainty and guide continuous improvement
"Mind the Product really cuts through the noise. This class isn't about chasing the latest AI hype, it’s about practical ways to consider and actually make your product better for your customers. I walked away with a solid framework for building AI features that feels useful rather than just ‘cool’. The modules were well organised and a great balance between theory and practical. I would highly recommend product leaders to get their teams on this."
Freeagent
Customer Experience Strategist
"This training left me inspired and re-energized to create trust-driven AI solutions that deliver real value."
Susie Hu Fan
Fidelity International
