We run advanced in-person training in deep learning and agentic engineering
We train engineers from
Join a cohort of experienced engineers building AI products, ML pipelines, and agentic systems. Our programme is primarily aimed at senior engineers who learn best by solving problems at the whiteboard and building systems, rather than sitting through lectures or watching videos.
All training is in-person at our Old Street campus. Online content is everywhere and often excellent, but you learn faster when you're surrounded by people trying to get good at the same thing. Each week you spend an afternoon in a community of experienced engineers, programming at the edge of your abilities.
The training cost is £22,000 per place and is funded through the apprenticeship levy. If your employer does not pay the levy, our partners will cover the full cost. There is no cost to you.
Each session ends with a lightning talk and discussion: one member of the community presents a new tool or technique they're using, something that did or didn't work in production, or a problem they're stuck on.
No teaching assistants. Every session is led directly by our two founders, who between them have over 40 years of experience building software.
Modules are designed to feed useful work back to your team. Wherever the curriculum overlaps with your roadmap, you can prototype against real data and product problems.
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.
