Two day full-time OR part-time over two weeks
Two day full-time OR part-time over two weeks
Live Classroom Expert Instructors
Expand your discovery, define, design and build capabilities to go-to-market with human-centred AI products.
Led by AI product industry experts, this course is for current and aspiring AI product managers, UX professionals and technical team members
Next full time course
TBC
Did you know the AI global market is set to reach $1.8 trillion by 2030? Tech roles require AI know-how and system design expertise today.
The course is designed to provide the knowledge and skills to design and develop real-world fit-for-purpose AI products and services.
With hands on activities and a plethora real-world examples, you'll gain the confidence and proficiency to create and manage AI products and services end-to-end.
You'll learn how to identify AI opportunities across product strategy, data, technology and interaction design, to create and launch feasible, usable and trustable solutions.
12 hours of live instructor-led learning
Flexible evening or all-day options
Average class size: 14 learners
Certificate of completion
Access to materials for life
Explore AI best practices, strategies and methodologies for how product, UX and technical professionals can collaborate effectively to design and develop AI based solutions.
Gain a deep understanding of AI product ethical and social implications during creation and how to develop strategies for mitigating potential risks and biases.
Develop your AI knowledge and skills with data for designing, testing and iterating product ideas to achieve a proof-of-concept that can learn from data and a UX prototype for your product.
Session 1: Age of AI and how teams can create human-centred AI products
Introduction
Fundamentals of what product and UX professionals need to know about AI/ML
AI product strategy and the AI/ML landscape
The AI product development lifecycle and business applied methodologies
Applying design and development practices for AI products
Building AI solution teams - product, UX and technical trio
Partnering to collaborate with data scientists, data engineers, machine learning engineers and key stakeholders day-to-day
Adopting an inclusive human-centredAI mindset to find AI opportunities
Session 2: Researching to validate problems and define AI solutions
AI Discovery 101
Understanding attitudes, behaviours and mental models of how humans and AI co-exist
Research methodologies for capturing human and AI insights
Creating a hypothesis opportunity tree - map your way to AI opportunities
Validating Problem Scope
Collaborating on the feasibility, usability and trustability of the AI product
De-risking your AI conceptual design idea - do you even need AI?
The UX of machine learning process - translating user and data journeys into jobs being done by humans vs. the AI
Influencing stakeholders with artefacts and business models
Session 3: Designing and developing AI products
Designing your AI product
Inclusivity, transparency and ethics with data and AI
AI 101 - good, bad and ugly real-world examples of AI
The AI Design Sprint - rapid experimentation and co-defining with your team
PoC and UX prototypes
Turning the design sprint outcomes into solution requirements
Understand the concepts behind AI model training
Creating a training model, underfitting and overfitting
Designing the learning process for the system e.g. humans-in-the-learning-loop
AI explainability design patterns
Rapid prototyping and testing AI design - going from a learning product to a living product
Session 4: Learning from and iterating live AI products
From prototype to a live go-to-market product
Preparing for post-launch - understanding model drift and responsibilities of the team
Iterating the AI product in a live environment with real-world end users
Continuous evaluation and release with real human and AI data
Tim is a product and service design leader, who has delivered AI products and services over 10 years helping companies to define AI product vision, roadmap and strategy, ensuring the product mission aligns with company objectives.
Tim has managed teams across the entire product lifecycle (data, design, device and digital), from ideation to launch. Tim has over 20 years of industry experience across Government, Education Technology, Climate Change, Healthcare Systems, Pharmaceuticals, and MedTech.
Sabah and Tim have worked for and advised leading businesses and organisations of all sizes.
Dates
Hours
In-Person / Online
TBC
2-days, full time
9:30am - 5pm (UK time)
15 minute breaks in the morning and afternoon
1 hour for lunch
In-Person
(Central London location)
TBC
TBC
4 days, part time
6pm - 9:15pm (UK time)
15 minute breaks within each session
In-Person
(Central London location)
Can't make the dates? Looking for online options? We plan to release more course dates soon, including online options. Register your interest and we'll contact you with more details.
For any questions about the course or for group bookings, please contact us at email address here.
What are the classes like?
Our classes are hands-on from the very first session. You’ll be using state-of-the-art tools, taking part in group exercises, discussing case studies, improving your resume, and practicing mock interviews. By the end of the course, you’ll know how to build software products from end to end, lead cross-functional teams, and land your next Product job or promotion.
Is the course in person or online?
For now, we are focusing on delivering classes in person. We hope to have online options for learners soon. If you have a preference for learning online, then we recommend that you register your interest and select the online option when asked if you prefer online or in person learning.
Are there discounts for group bookings?
We are open to providing discounts for group bookings for four or more learners. Please contact email address here to discuss pricing for group bookings.
Can you provide custom training for my company?
Absolutely. Please contact email address here to discuss how we can help you.
I am a technical professional - is this course for me?
Yes. This course is perfect for those not coming from a traditional product or UX backgrounds, but looking to learn more about product and human-centred design skills for AI/ML products.
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