Find opportunities to explore emerging AI, experiment with new tools, work on meaningful problems, and learn alongside people from different disciplines and stages of their journey.
AI is changing how we learn, work and create, faster than any course can keep up with.
The pace of change can make it difficult to know what to learn, where to start, and whether you are keeping up. Students also have few ways to prove what they can do, rather than just claim it.
Whether you are applying AI to your research or testing an idea for a new venture, there are few places to experiment alongside people who are building the same way.
As new tools and possibilities emerge, it is easy to feel uncertain about what matters, overwhelmed by how much there is to explore, or unsure where your own capabilities fit.
Agent Build Club is a co-learning community that bridges academia and business, with applied AI educators, technology vendors and guest speakers bringing the teaching, the tools and the practice. Undergraduates, researchers, people running businesses and people changing career all turn up to the same sessions, because nobody has this figured out yet. A room like that is a great place to learn alongside your course or your work, and you meet people who will tell you honestly when something does not work.
Ways in, whether you have an afternoon or a term.
Hands-on building from wherever you are starting, in a room where nobody pretends to have it figured out.
Build something working in a weekend, with a team you just met.
See what people a few steps ahead are actually doing.
Work on a real company problem, and meet the people whose job depends on solving it.
Turn what you built into something employers recognise.
Somewhere to ask the question you think is too basic.
Three ways to take part, whether you are new to AI or already building with it.
Join a single workshop or event to try new tools and meet people exploring the same questions.
Take part in a hackathon or challenge and leave with something you can show.
Work on an applied project with an organisation and build evidence of your capability over time.
Wherever you are starting from, there is a way in. Find the one that sounds like you.
Build something real alongside your degree, and leave with evidence you can show an employer.
Apply AI to your specialism and turn your masters project into something employers recognise.
Apply emerging AI to your research, and explore whether it could become something more.
Bring emerging AI into your research practice and connect with others doing the same.
Build practical AI capability for a professional services role, without a technical background.
Keep pace with changing tools alongside your job, with people doing the same.
Test an idea, build a prototype and find out whether it has legs, while you are still studying.
Explore whether your research could become a product, and what that would take.
What we have been writing that bears on where you are heading.
What are you exploring? What are you finding difficult? What would help you learn, experiment, and build with AI? Tell us a little about where you are in your journey.