Designing AI Products: Part-Time Course
Online (Live)
Part Time Course
8 Weeks
Twice a week, 6:30PM - 8:30PM (London)
AI is changing what a good product even is. Designers who can only bolt AI features onto existing flows will be left doing 2015 work with 2026 tools. The ones who thrive will be the ones who can design the product from the outcome backwards, deciding where an AI agent belongs in the experience, where a human has to stay in the loop, and where the technology should simply stay out of the way.
This course teaches you to do that. Over eight weeks you'll learn to research, design and prototype an AI product from a real brief, covering everything from problem framing and ethical design through to data, prototyping and scalable implementation.
You'll leave with a working prototype, a portfolio case study, and the frameworks to lead AI product work with rigour.
From £1,495.00 - payment plans available.
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Designing AI Products
Join our next information session.
online via zoom
Monday 5th October, 2026 - Wednesday 25th November, 2026
• Monday & Wednesday evenings
• 6:30pm-8:30pm (London time)
• 16 sessions
• Delivered Live on Zoom
Who's this for?
For mid-career design and product professionals who want to design AI products responsibly, not just prototype with AI tools.
How long is it?
32 hours of live online classes over 8 weeks, two evenings a week, full of discussion, critique and workshop time.
On completion
You'll have designed and prototyped an AI product for a real brief, and leave with hands-on AI product design skills.
Experience Haus has worked with leading organisations to rethink their services and AI workflows.
EXPLORE THIS COURSE
01
Responsible AI and empathy at the core.
Our course doesn’t just teach you to build AI products, it teaches you to build them responsibly.
You’ll learn to navigate bias, privacy and data security, and to design AI experiences that are fair, trustworthy and transparent. Leave able to lead AI work that prioritises user trust, not just user growth.
02
Hands-on experience with real impact.
What sets this course apart is the hands-on experience.
You’ll apply everything you learn to a live brief from a real company, working in a team the way a real product org does. You’ll leave having tackled a genuine, ambiguous AI problem — not a hypothetical one.
03
Prepare to lead while staying ahead.
AI product design is moving fast, and the skills gap is real.
This course gives you the frameworks to lead, not just keep up. Whether you’re advancing in your current role, moving into a new one, or building something of your own, you’ll leave with the critical thinking and practical skills to design AI products people can actually trust.
Build Hands-On AI Product Design Capability.
AI is already reshaping what products and services look like, across financial services, healthcare, retail and beyond.
Design and product roles aren’t being replaced by this shift; they’re being redefined by it. The designers who thrive won’t be the ones who can prompt an LLM. They’ll be the ones who know how to decide what AI should and shouldn’t do inside a product, and can defend that decision to a room of stakeholders.
This is an eight-week, live online course for UX designers, product designers, service designers, consultants and product managers who want to build that capability properly, not by watching tutorials, but by working a real AI product brief from problem to prototype, in a team, the way you would on the job.
Who should attend?
This course is built for UX designers, product designers, user researchers, consultants, venture builders and product managers who are ready to move past AI curiosity into AI fluency, and are willing to do the work alongside other practitioners to get there.
Design AI products, don’t just decorate them with AI.
Understanding how to design genuinely user-centred AI products is now a core design skill, not a specialism. This course goes deep on AI product design and service design methodology together, so you leave able to turn AI capability into something a real user would actually want to use, and can build the service blueprints to prove where AI belongs (and doesn’t) across a customer journey.
From prototype to implementation.
Learn to prototype AI product concepts and turn them into tangible, testable experiences. You’ll get clear on the practical differences between machine learning, NLP and large language models (not as theory, but as design decisions) and learn to build prototypes you can test and refine against real user feedback. You’ll also learn how generative AI tools can genuinely improve your own workflow as a designer, not just the product you’re designing.
The course covers agile implementation planning: building project roadmaps, setting milestones, and running testing and iteration cycles, so you leave able to take an AI concept from idea to something functional and user-ready, and able to work credibly alongside the machine learning engineers, data scientists and software engineers who’ll help you build it.
Understand what it takes to scale.
Knowing how to scale an AI solution, for example handling growing data volumes and user load, is what separates a good prototype from a product that survives contact with real users. You’ll leave with a working understanding of continuous integration and delivery for AI products, and what “production-ready” actually requires.
Expected weekly commitment
Alongside 4 hours of live class time each week, expect to spend 4–6 hours a week outside class — this is where the tools and methods actually sink in.
You’ll work your live brief in a team for the full eight weeks, with each person carrying real responsibility for moving it forward. It’s built to feel like a real product team, not a classroom.
Be inspired by industry-led lectures and collaborative workshops.
Come into the live class each session and learn through a series of immersive industry-led lectures and collaborative workshop time,. Put your AI learning to work immediately and apply them to a real-life AI implementation project set by a startup founder from a local tech business. Understand the potential of the latest AI tools.
PRE course Work
- Complete Student Profile
- Introduction to Figma and Figjam
- Sign up to Slack community
- Pre-course AI content reading
Week
01
AI Foundations & Design Thinking
Get fluent in how AI actually works, and how design thinking changes when AI is a participant, not just a feature.
- Overview of AI technologies
- Machine Learning vs Deep Learning
- Real-world AI use cases
- Future trends and potential of AI
- Principles of Design Thinking
- AI-Focused Design Thinking
- Empathy and user-centred design
- Project Briefing and Kickoff
Week
02
Framing the Right AI Problem
Learn to define AI-specific problem statements and map service blueprints that show exactly where AI belongs in a journey.
- Defining AI-specific problem statementsStorytelling in AI design
- Ideation session with Stakeholder
- Principles of service design
- Creating service blueprints for AI services
- Mapping user journeys and AI touchpoints
Week
03
User Research for AI Products
Run and synthesise user research built for AI products, where trust, expectation-setting and usability all work differently.
- User Research for AI Projects
- Importance of User Research in AI Implementations
- Usability testing for AI solutions
- Synthesising research data for AI insights
Week
04
Responsible AI by Design
Confront bias, privacy, transparency and risk head-on, and learn to design AI experiences people can actually trust.
- Ethical considerations
- Addressing bias and fairness
- Transparency and accountability
- Identifying and assessing risks
Week
05
Data Foundations for AI Products
Understand the data your AI product needs, where it comes from, and why clean, well-prepared data is a design problem too.
- Data Preparation
- Importance of data and the role of date science
- Data collection methods
- Data cleaning and preprocessing
Week
06
Prototyping AI Experiences
Build and iterate low- to high-fidelity AI prototypes using real tools, refined against real user feedback.
- Prototyping techniques for AI experiences
- Low-fidelity vs. high-fidelity prototypes for AI
- Tools for creating AI prototypes
- Iterating AI prototypes based on user feedback
- Implementation Planning for AI
Week
07
From Roadmap to Reality
Turn your prototype into an implementation plan: agile roadmaps, milestones, and testing cycles that survive contact with a real team.
- Agile methodologies for AI projects
- Creating project roadmaps for AI implementation
- Setting milestones and deliverables for AI projects
- Testing and iteration cycles for AI solutions
- Scaling and deployment strategies for AI
Week
08
Scaling, Deployment & Playback
Learn what it takes to deploy and scale an AI product for real, then present your finished work back to your stakeholder.
- Advanced AI Implementation
- Technical details of AI deployment
- Iterative testing and feedback loops
- Strategies for scaling AI solutions
- Continuous integration and delivery in AI
projects - Project Playback with Stakeholder
POST course Support
- Alumni network access
- Office hours
- Peer cohort community (ongoing)
- Experience Haus insights and events
Taught by People Who Do This Work.
Meet The Course Leaders.
Our Designing AI Products course is taught by a team of experienced practitioners who work inside and alongside digital product and service teams and organisations. They bring real context, real constraints and real examples to every session.
You will be learning from the best in the field. Our talented and experienced team has worked with various sized teams, from early-stage startups to award winning agencies, and industry leading organisations such as Spotify, BNY, Lloyds Bank, PwC, and more.
Amit Patel
Founder & Principal, Experience Haus
Spends his time running capability building programmes for the likes of BNY, Hiscox, DTCC, and Deloitte Digital. With nearly two decade sof experience and close to 4,000 programme graduates, he is guest faculty at London Business School, NYU, and Oslo Met, and a recognised speaker on AI, design thinking, and organisational capability. His work is anchored in the concept of unlearning, helping leaders build the adaptive mindsets required in an AI-era economy.
Nicole Perry
Director of Delivery, Natwest Boxed
Nicole Perry is Director of Delivery at NatWest Boxed and a Product Consultant and Coach at Experience Haus, bringing hands-on experience building and leading product functions across fintech and financial services. Her work spans product strategy, research, and delivery, with a particular focus on helping teams build the clarity and rigour needed to move from insight to impact.
Giuseppe Burdo
Senior AI Product Consultant
Giuseppe is a Senior Product Designer at OVO Energy and an Instructor at Experience Haus, where he leads the Design with AI course for both online and business training audiences. He brings practitioner-level experience across product and interaction design, including Google Health. His teaching style is grounded in real-world process, adaptable critique, and a genuine commitment to helping people transition into and grow within the design profession.
DESIGNING AI PRODUCTS: ONLINE | PART-TIME COURSE
Course Dates and Fees.
£ 1,495.00 (inc. VAT)
Best Value: Pay in Full & Save
Reserve your space today with one upfront payment and save 10% compared to the Pay In Instalments option.
This course runs live via Zoom and takes place between 6:30pm – 8:30pm (London,UK time), two evenings a week, on Monday and Wednesday evenings.
If your company will be paying for your enrolment, please email us learn@experiencehaus.com to arrange an invoice.
£ 1,695.00 (inc. VAT)
Spread the cost over the duration of your course
The total cost of paying in instalments is £1,695.00
Simply pay a deposit of £195.00 to secure your space and then a further 3x £500.00 payments will be taken via direct debit over the duration of your course.
This course runs live via Zoom and takes place between 6:30pm – 8:30pm (London,UK time), two evenings a week, on Monday and Wednesday evenings.
If you have any financial concerns please contact enrol@experiencehaus.com to discuss different payment options.
Have More Questions? We Have the Answers.
Some design experience helps, but this course is built for practitioners already working in or adjacent to product and design roles: UX designers, product designers, researchers, consultants and product managers. If you’re unsure whether your background fits, book a 1:1 call with one of our course leaders before applying.
Yes. You’ll work in a team against a live brief from a real business for the full eight weeks, not a hypothetical case study. The brief changes per cohort; you’ll get the details once you’re enrolled.
Alongside 4 hours of live class time each week, expect to spend an additional 4–6 hours a week outside class. This is a hands-on course. The homework is where you actually build the skills, not just hear about them.
Submit your details via the form on this page, or email us at enrol@experiencehaus.com. A member of our team will follow up to confirm fit and answer any questions before you book your place.
We primarily work in Figma, FigJam and then various AI prototyping tools. You’ll get an introduction to both as part of your pre-course work if you’re not already familiar.
No. This course is about designing AI products, not building the underlying models. You’ll learn to work credibly alongside engineers and data scientists, not to become one.
Purchases are non-refundable, except at the discretion of Experience Haus Ltd. Typically, cancellations or refund requests received 14 days prior to the start of a course or workshop will be honoured. However, due to the complex nature of the service being provided this cannot be guaranteed, and will be assessed on a case-by-case basis. This policy does not include deposits, all of which are non-refundable.
Yes. On completion, you’ll receive a certificate of completion from Experience Haus, plus a portfolio-ready case study from your live brief.
Provided you give us enough notice, we are happy for you to change courses once you’ve booked.
A laptop with a stable internet connection and access to Figma (free tier is fine to start but we do have student education plan for you to use while on the course). No specialist AI tools or paid software are required before day one, anything else needed will be introduced during the course. We will look at research and prototyping tools along the way.
No – the briefs are selected to help you apply your learnings in the best way and create a great portfolio piece. We cannot change the brief that has been selected for you as we want this to be as real life as possible, where you don’t always choose what you work on and would need to deliver the project regardless of personal preference.