Shared learning
Members bring questions, examples, workflows, experiments, and lessons from using AI in practice.
Shared learning / practical AI / projects / enterprises / collaboration
AI Club UK
A practical Cambridge club for people learning, building, experimenting, and working with AI.
AI Club UK brings people together to share experience, support each other’s projects, explore useful AI tools, and help enterprises and individuals make better use of AI in practice.
A practical club for shared learning, project support, enterprise support, and collaboration around AI.
Project support
The club gives members a place to discuss projects, test assumptions, get feedback, and find possible collaborators.
Enterprise support
We help businesses, organisations, and founders think through practical AI use, opportunities, risks, and next steps.
Special events
Special events for a full room and focused discussion.
Talks, guest sessions, and practical evenings when there is something worth gathering for.
Special guest
Special guest: Mark Rogers
Mark Rogers of Grounded AI, and organiser of Cambridge AI meetup events, will join AI Club UK for a practical discussion on AI in real work, building useful AI communities, and the role of human experience in sound judgement.
Grounded AI describes Mark as its Director of Business Development and an experienced product executive specialising in AI and machine learning, with previous roles at Amazon, BBC, and Oracle.
- Grounded AI in practice
- Running Cambridge AI
- Lessons from real settings
- Human experience and judgement
- Questions in advance
Members are welcome to send questions ahead of the session.
About AI Club UK
AI Club UK brings people together to discuss AI through real examples, personal experience, experiments, prototypes, workflows, questions, and ideas in progress. The club supports shared learning, practical project development, and thoughtful use of AI by individuals, founders, businesses, and organisations.
The club is informal, but not vague. Members are encouraged to speak plainly, show real work where possible, ask useful questions, and give constructive feedback.
Shared learning, useful projects, practical support.
The club exists to help people learn from each other and move useful work forward. Members compare experiences of using AI, discuss tools and results, examine assumptions, support each other’s projects, hear from guest speakers, and explore possible collaborations.
Share experience
Members bring practical accounts of using AI, including results, mistakes, limits, and lessons.
Support projects
Questions, concepts, workflows, and prototypes can be examined in a constructive setting.
Help enterprises
Members can discuss business uses of AI, operational problems, opportunities, risks, and realistic next steps.
Supportive, critical, and useful
The club should be welcoming without becoming uncritical. Good discussion depends on people being able to ask direct questions, challenge assumptions, and offer feedback in a way that helps the work improve.
Share clearly / question carefully / develop steadily
What happens at a session?
Sessions may include show-and-tell presentations, personal accounts of using AI, practical demonstrations, shared questions, business ideas, collaboration proposals, guest speakers, and open discussion. Guest speakers are welcome, especially when they can speak from direct experience.
What to bring
Bring something concrete
A question, workflow, model result, prototype, business problem, or concept gives the group something real to examine.
Share what you have seen
Personal accounts help other members understand tools, limits, opportunities, and common mistakes.
Support useful work
Clear questions, constructive feedback, and practical suggestions help projects, enterprises, and collaborations develop.
Every other Thursday at 6:30pm
The regular rhythm gives members a steady point to return with updates, questions, new experiences, and possible collaborations. Continuity matters: it lets ideas develop and helps people build trust through repeated contact.
Fields of study
AI sits across several disciplines. The club uses these fields as a practical map for learning and discussion, not as a rigid syllabus.
Linear algebra, calculus, probability, statistics, and formal reasoning.
Algorithms, data structures, computation, programming, and system design.
Training, optimisation, evaluation, embeddings, and model behaviour.
Git, Linux, Python, environments, tooling, deployment, and running real systems.
Search, indexing, databases, retrieval, and how information is structured.
Cognition, representation, agency, and what it means to call a system intelligent.
Knowledge, evidence, explanation, uncertainty, and how better understanding develops.
How AI affects people, institutions, responsibility, and the direction of useful work.
Labour, incentives, culture, institutions, communities, and the wider effects of AI.
Upcoming meetings
Meetings are every other Thursday at 6:30pm, UK local time. Sessions usually focus on show and tell, practical examples, shared questions, possible collaborations, guest speakers, and useful critique.
| Date | Time | Format | Focus |
|---|---|---|---|
| Thursday 21 May 2026 | 6:30pm | Special guest discussion | Mark Rogers of Grounded AI |
| Thursday 04 June 2026 | 6:30pm | Regular meetup | Show and tell, discussion, business ideas, and possible collaborations |
| Thursday 18 June 2026 | 6:30pm | Regular meetup | Show and tell, discussion, business ideas, and possible collaborations |
| Thursday 02 July 2026 | 6:30pm | Regular meetup | Show and tell, discussion, business ideas, and possible collaborations |
| Thursday 16 July 2026 | 6:30pm | Regular meetup | Show and tell, discussion, business ideas, and possible collaborations |
MakeSpace
MakeSpace is the club’s chat and service page for continued discussion, practical support, project follow-up, and direct interaction outside the meetup sessions.
More details to follow
Join information, contact details, and further updates will be added here soon.