What we're trying to build
missionWe're trying to build the best programme of its kind: a place where experienced software engineers develop a technical understanding of deep learning and agentic engineering, and use it to lead AI projects at work.
Advanced in-person training in deep learning and agentic engineering
We train engineers from
We're trying to build the best programme of its kind: a place where experienced software engineers develop a technical understanding of deep learning and agentic engineering, and use it to lead AI projects at work.
Founders and Coders is for you if you are kind, curious, and ready to build. You'll be learning alongside experienced engineers. Most people who join have written code for a living, whether for a few years or a few decades. If you haven't, you'll need to show that you can build working software from scratch, and be prepared to put the hours in to cover the fundamentals.
You'll spend an afternoon each week programming at the edge of your abilities. You'll write an agent harness from scratch, turn a bare server into a Kubernetes cluster and serve your own models from it, build a transformer from the ground up in PyTorch, and reproduce frontier papers.
Each session opens with a talk. Then you break into groups and work through a set of problems at the whiteboard. The middle of the afternoon is for building, or for focused study. Each session ends with a lightning talk and discussion. One member of the community shares a new tool or technique, something that did or didn't work in production, or a problem they're stuck on.
All training is in person at our Old Street campus, one afternoon a week for about 15 months. Online content is everywhere and often excellent, but we believe you learn faster when you're surrounded by people trying to get good at the same thing.
There is no cost to you or your employer. Each place costs £22,000 and is funded through the apprenticeship levy. If your employer does not pay the levy, we'll arrange funding. You need to be employed on PAYE and your employer needs to be on board.
The programme gave me a practical, hands-on understanding of machine learning and AI through real projects rather than passive lectures. By the end, I felt significantly more prepared to join an AI engineering team, and I did.
The apprenticeship helped me bridge my existing expertise with applied AI. Shortly after completing it, I joined xAI as an AI Finance Expert, working on AI reasoning and evaluation in finance.
Get the right group of people together and give them the challenge of figuring out machine learning, and something remarkable happens.
We had opportunities to build models from scratch, which helped me gain a deeper understanding of concepts that are often abstracted away. Fantastic preparation for a role in AI engineering.