Training for your team

Why train with us?

All of our training is full-time and in-person. We keep class sizes small, typically less than 20. Learners are surrounded by motivated peers and supported by industry experts.

Your staff will receive a weekly one-on-one coaching session with machine learning engineers who have worked at the top of the industry. We push our students to develop a deep understanding of the latest developments in AI. Our programme is practical and geared towards building. If our students spend ten hours a day writing code, we know we are doing our job.

For eligible learners, our programmes are either fully or part-funded by the UK government, through Skills Bootcamps and the apprenticeship levy.

Who can train with us?

Successful applicants are often senior software engineers, academics or startup founders.

Our programme has a highly competitive application process, but we provide a degree of preference for engineers who work for our industry partners.

What to expect

Our graduates are trained to read and understand the latest papers, engineer models using insights from those papers, and deploy those models in production as part of end-to-end systems.

For larger employers, we can offer flexibilty around training options, such as remote first training, or training at your offices. We can also break the programme up to fit around your business needs. Schedule a call with us to discuss your requirements.

8 weeks on campus

Deep Learning System Design Bootcamp

Model Architecture

  • MLOps foundations

  • Transformers, Attention & Sparse Attention

  • Multimodal Transformers

  • Data and Model Parallelism with multiple GPUs

  • Image classification, object detection & semantic segmentation

  • Diffusion Models for image generation with conditioning

  • Multistage Ranking for Search & Recommendation Engines

Next start: September 2024

8 weeks on campus

MLOps and Data Engineering Bootcamp

Data Management and storage

  • Build and deploy multi-node Kubernetes clusters

  • Big data foundations and data ingestion

  • Workflow orchestration with Apache Airflow & Prefect

  • Deep dive into Kubeflow Pipelines & Model Experiments

Next start: September 2024

18 months hybrid

Deep Learning Apprenticeship

A slow path to mastery

  • One or both of our 8 week bootcamps followed by 18 months of continuous training.

  • We are not currently accepting applications from learners without an employer. If you have an employer who is willing to partner with us for your training, ask them to get in touch.

Application process



Want to use machine learning in your business?

Set up a call with our team and build an industry-leading machine learning function at your organisation.