Designing AI Experiences - 5 Day Accelerator Course

Designing AI Experiences:
5 Day Accelerator Course

Full Time Course
Monday to Friday, 9:30am - 5:00pm

next start date: 8th July, 2024 - 12th July, 2024

How do you build innovative use cases for AI (artificial intelligence)? And how do you prepare the necessary data? Who's needed to make all of this happen? And how do you even kickstart an AI project?

Futureproof your design career with this five-day immersive course that blends cutting-edge AI technologies with innovative design thinking and service design. Learn how to research, design and build an effective AI implementation by diving into a real startup challenge, and leave having mastered the art of AI prototyping, critical thinking, ethical design, machine learning and scalable implementation.

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Have some questions?

Interested in enrolling on a course with us, but need more information? Request a call back from our admissions team.

Empathy in AI Design

Apply an human-centred approach that ensures AI technologies are developed with the end-user in mind.

Ethical Responsibility

Identify and mitigate biases, protect user privacy, and ensure transparency and accountability in AI projects

Collaborative Innovation

Drive innovative AI solutions forward by working across disciplines and leveraging diverse perspectives

Experience Haus alumni have gone on to join some of the most exciting, biggest and best names across various industries.



Responsible AI and empathy at the core.

Our course doesn’t just teach you to build up AI skills; it teaches you to build AI responsibly.

Learn to navigate and address critical issues like bias, privacy, and data security. Ensure your AI solutions are not only innovative but also fair, trustworthy, and aligned with ethical standards. Picture yourself leading projects that prioritise user trust and transparency, setting you apart as a responsible innovator in the AI space.


Hands-on experience with real impact.

What sets this course apart is the hands-on experience you’ll gain by working on a live startup challenge and applying AI skills.

Whether it’s developing an AI-powered health monitoring system that provides personalised care recommendations or an intelligent logistics system that optimises supply chain operations, you’ll have a chance to demonstrate your ability to tackle and solve complex AI problems.


Prepare to lead while staying ahead.

The AI space is moving fast. And there’s every chance you’ll get left behind if you don’t act now and gain solid knowledge.

Learning artifial intelligence technology will prepare you to lead. Whether you aim to advance your career, launch a new startup venture, or stay ahead of industry trends, this course is your ticket to success. Spots are limited, so don’t miss out—secure your place today and start transforming your ideas into the impactful AI solutions of tomorrow. Build what’s next.

Are you ready to be at the forefront of AI innovation?

Disruption is coming, if it’s not already here. Industries are being impacted. Roles are being lost or having to change, and future technologies will be here before you know it. Our “Designing AI Experiences” course is your gateway to mastering the skills that will set you apart in the world of AI and design.

This immersive, five-day course is designed for UX designers, service designers, consultants, startups, and product managers who want to revolutionise their approach to AI Work alongside a live startup, tackle real-world challenges, and create impactful AI experiences that will make you a sought-after expert in the field.

Who should attend?

This course is perfect for UX designers, product designers, user researchers consultants, venture builders, and product managers and more. Students should be eager to upskill and willing to take advantage of the fast-paced AI movement and work alongside other business professionals.

Unlock the power of AI alongside design thinking and service design.

In a world where AI is rapidly changing how we live and work, understanding how to design user-centric AI solutions is crucial. This course dives deep into AI technologies and design thinking methodologies, ensuring you can turn theoretical knowledge into practical applications. Learn how to build service blueprints that showcase your AI innovations as critical touchpoints along the customer journey.

Learn how to go to from prototype to implementation.

Master the art of prototyping artificial intelligence solutions, turning innovative concepts into tangible models. Learn the differences between neural networks, natural language processing (NLP) and large language models (LLM). You’ll learn to create prototypes that not only visualise your AI solutions but also allow for iterative testing and refinement based on user feedback. Learn how generative AI platforms can partner with human intelligence and create improved workflows.

The course emphasises agile implementation planning, equipping you with the skills to develop project roadmaps, set key milestones, and manage testing and iteration cycles. By the end of this course, you’ll be prepared to bring your AI concepts to life, ensuring they are both functional and user-friendly. Use your new AI skills to work collaboratively with machine learning engineers, data scientists and software engineering teams.

Master the elements of scaling.

Scaling AI solutions is a critical skill for ensuring that your innovations can handle increasing data volumes and user interactions. This course provides you with the strategies and best practices needed to effectively scale AI applications. Find out more about continuous integration and delivery practices, learning how to maintain and improve your generative AI projects over time.


Be inspired by industry-led lectures and collaborative workshops.

Come into our studio each day and learn through a series of immersive industry-led lectures and collaborative workshop time,. Put your AI training 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.

Download Syllabus
PRE course Work
  • Complete Student Profile
  • Introduction to Figma and Figjam
  • Sign up to Slack community
  • Pre-course AI reading



  • Overview of AI technologies
  • Machine Learning vs Deep Learning
  • Real-world AI use cases
  • Future trends and potential of AI
  • AI-Focused Design Thinking
  • Project Briefing and Kickoff



  • Principles of Design Thinking
  • Empathy and user-centred design
  • Defining AI-specific problem statements
  • Storytelling in AI design
  • Ideation session with Stakeholder



    • Principles of service design
    • Creating service blueprints for AI services
    • Mapping user journeys and AI touchpoints




  • User Research for AI Projects
  • Importance of User Research in AI Implementations
  • Usability testing for AI solutions
  • Synthesising research data for AI insights



  • Ethical considerations
  • Addressing bias and fairness
  • Transparency and accountability
  • Identifying and assessing risks
  • Risk management frameworks
  • Developing risk mitigation strategies



  • Data Preparation
  • Importance of data and the role of date science
  • Data collection methods
  • Data cleaning and preprocessing



  • 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



  • 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



  • 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
  • Team Collaboration for AI Projects
  • Roles and responsibilities in AI teams
  • Effective communication techniques
  • Conflict resolution strategies
POST course Support
  • Portfolio Clinics
  • Q&A Sessions with Recruiters
  • Workshops with Industry Experts
  • Career Advice and Support
  • Alumni Design Days

Learn from Industry Experts

You will be learning from the very best in the design industry. Our talented and experienced instructional team has worked with various sized teams, from early-stage startups to award winning agencies, and industry leading organisations such as Amazon, PwC, and more. Leave each day more inspired than ever.

Amit Patel

Creative Director

Amit is the founder and Creative Director of Experience Haus. He has worked in various companies from small startups to industry leading companies and is involved in several AI implementations with startup operating in the healthcare space. He also lectures, facilitates workshops and gives talks at organisations across the world.

Murat Bayral

Product & Experience Designer

Murat is a product designer with a foundation in user-centric design – he is dedicated to designing interfaces that make interacting with technology straightforward and enjoyable, especially when it comes to AI experiences.

Alida Urban

Product Technologist

Alida is a Product Manager with a passion for finding meaningful and effective digital solutions to human problems, that enhance real life experiences and aid positive technological progress. Alida has recently led AI projects both from the experience design and product management perspective.

Book your visit to our Shoreditch studio

Want to see our Shoreditch-based learning studio and chat to our team about this course? Book in a time that suits you to get all your questions answered.

Apply your learnings onto a live AI startup project.


Over the duration of the five day course, apply your learnings in a team setting and and work on a live AI implementation challenge written and set by a local business. Interact with the founding team and apply your learnings to the project as the course unfolds through a series of practical exercises.

The culmination of this project will be presenting your work and approach informally back to the client, explaining your process, critical thinking, journey and final concept. Our AI training will provide the skills needed for you to feel confident with artificial intelligence technology.

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Inspired by industry advisors.

Our course has been meticulously crafted with insights from industry advisors who are at the forefront of AI technology and its application across diverse sectors. These experienced professionals have influenced both the curriculum and teaching methods to ensure the content is not only current but also deeply relevant to real-world business challenges.

Dr Anushka Patchava

Co-Founder & Chief Product Officer at Wellx

Anushka is the Co-Founder and Chief Product Officer at Wellx, an AI driven insurtech start-up, and Chief Growth Officer at Mindstep, an AI focused mental and brain health app. She is an experienced executive with a demonstrated track record spanning 10+ years, operating at a strategic and operational level.

Dr Anthony Giannoumis

Service Designer & Associate Professor

Anthony’s work focuses on technology policy and practice. He is an internationally recognized expert in universal design of information and communication technology (ICT). He leads several large-scale research and innovation projects based in over 27 countries.

Jonathan Cosgrove

Strategic Planner and Digital Transformation

Jonathan is an accomplished strategic planner with deep financial and legal expertise. He has been instrumental in developing and delivering organisation strategies, digital transformation and new service-delivery models (including global sourcing) across Corporate Functions (HR, IT, Operations) yielding significant benefits to people, culture and profitability.

Next Steps.

Still looking for more information?

We're here to help you along the way.

Here are some ways we can help you and give you all the information you need to help you enrol.


Course Dates and Fees.

£750.00 (inc. VAT)

Pay in full now

Reserve your space today by paying your course fees in full.

This course runs at our Shoreditch studio and takes place between Monday – Friday, 9:30am – 5:00pm (UK Time)

To pay in full, first pick your course dates:

£100.00 (inc. VAT)

Spread the cost

Pay a deposit of £100 today to secure your space on the course. We will invoice you the remaining £650 to be paid the Friday before the bootcamp starts.

This course runs at our Shoreditch studio and takes place between Monday – Friday, 9:30am – 5:00pm (UK Time)

To pay by instalments, first pick your course dates:


Have more questions? We have the answers.

No, you don’t need a background in design, however this course is not suitable for beginners. The course is suitable for anyone interested in artificial intelligence (AI) and design, including UX/Product designers, user researchers, service designers, consultants, product managers, and venture builders. It is useful to have a foundational knowledge of design thinking and the design process before you begin the course.

We do try and complete all course material during the day, however. due to the nature of the course (you will be working on a real-life design challenge set by a local startup) you may have to do a few hours of work in the evening after class.

Yes, you will work on a real-life artificial intelligence (AI) challenge from a startup. This provides invaluable practical experience, allowing you to apply what you’ve learned in a real-world context.

We offer three payment options for all of our courses. You can pay in full and save 10% off the regular price, or you can spread the cost by paying in 3 instalments taken during the course.

If you have taken any courses with us before, you will save 20% off the regular price.

While some aspects of AI involve coding, this course focuses on AI design thinking, ethics, prototyping, and implementation. Basic coding knowledge can be beneficial but is not required for this course.

This course does not focus on software development. Instead, it emphasizes AI design, service design, user research, and ethical considerations. However, you will learn to use various tools and platforms essential for AI prototyping and implementation.

You don’t need an existing portfolio to enrol. By the end of the course, you will have a portfolio-ready project showcasing your work on the startup challenge, demonstrating your skills in AI and design thinking.

We use a range of industry-standard tools, including Figma for prototyping, along with data visualisation and project management tools. Specific software details will be provided upon enrollment.

There isn’t one! To secure your space on a course all you have to do is book via our website or by contacting and telling us which programme you’d like to do. For those doing our larger courses, you’ll then get the chance to speak with one of our instructors and talk through your objectives, previous experience and how we might best support you during your time with us.

Part-time courses are a fantastic way of getting the ball rolling and getting up-to-speed quickly, conveniently and cost-effectively, but do not contain enough projects, work experience or portfolio development for you to start applying for roles immediately post-graduation. You will have to do this afterwards (with our support of course).

Courses can be taken with standard Windows PC or Apple hardware. The only programs that you will almost definitely need to use at some stage are Figma (the main design program we teach), Figjam and Zoom. All of which can be run through your internet browser with no need to download their desktop applications unless you want to work offline. Many other programs and software platforms will be discussed throughout the course.

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.

Provided you give us enough notice, we are happy for you to change courses once you’ve booked.

All students receive a physical Experience Haus course completion certificate at the end of the course. The course is recognised in regards to Experience Haus being an industry recognised brand for design education in the U.K.

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.