AI Engineer
LLM application engineering. Retrieval, vector databases, agents, and the backend work that turns a demo into something a company can actually run.
- 7 modules
- 4 phases
- 3 capstones
Published
18 weeks
The catalogue
Six engineering tracks
Every track runs the same model: fundamentals, then applied building, then a portfolio a hiring engineer can open and run. Two syllabi are published in full. The other four are being written, and those pages say so rather than showing an invented curriculum.
All six, equal billing
2 of 6 syllabi are published, carrying 15 modules and 5 capstone briefs between them.
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Machine Learning Engineer
Classical machine learning, end to end. You build tabular models the way industry actually builds them, then tune, interpret, and document them well enough to defend in an interview.
- 8 modules
- 5 phases
- 2 capstones
Published 18 weeks -
Cloud Engineering & DevOps
Infrastructure as code, delivery pipelines that ship safely, and the observability that makes production legible.
Syllabus in progress -
Cybersecurity
Offensive and defensive security, practised in environments that behave like production rather than like an exercise.
Syllabus in progress -
Data Engineering & Analytics
Pipelines, warehouses, and the modelling that decides whether the numbers downstream can be trusted.
Syllabus in progress -
Web Development
Full-stack web applications, from the data layer to the interface, built and then actually deployed.
Syllabus in progress
Read a syllabus before you decide
Register interest and we will send the full week-by-week syllabus for the track you are considering, then arrange a short call.