Services

Programs built around labs, not lecture slides.

Each track below pairs core theory with a working project — the kind of thing you can point to in an interview.

How every program is run

The same method, applied to every track

Program tracks

What we teach

01

Generative AI

How foundation models work, and how to build useful applications on top of them.

  • Prompt design and evaluation
  • Working with LLM APIs
  • Retrieval-augmented applications
  • Project: a small AI-powered tool built end to end
02

Data Science

Going from raw data to a decision, using the tools the field actually runs on.

  • Python and R for analysis
  • Statistics and experiment design
  • Model building and evaluation
  • Project: an end-to-end analysis with a written recommendation
03

Cloud Computing

Core cloud services and the deployment patterns behind production systems.

  • Compute, storage and networking basics
  • Deploying and scaling an application
  • Cost-aware architecture decisions
  • Project: a deployed, publicly reachable service
04

Cybersecurity

Thinking like an attacker, then defending like an engineer.

  • Common threat models and attack patterns
  • Secure coding practices
  • Network and system hardening basics
  • Project: a security review of a sample application
05

DevOps

The automation and culture that connects writing code to running it reliably.

  • CI/CD pipeline fundamentals
  • Containers and environment consistency
  • Monitoring and incident basics
  • Project: a pipeline that ships a small app automatically
06

Programming Foundations

Java and Python, taught by building things rather than memorising syntax.

  • Language fundamentals through practice
  • Data structures used in real code
  • Debugging and reading other people's code
  • Project: a small application built from scratch
07

Quantum Computing

Introduction to quantum bits, algorithms, and the potential of quantum technologies.

  • Quantum mechanics basics
  • Quantum algorithms and applications
  • Model building and evaluation
  • Project: an end-to-end analysis with a written recommendation

Not sure which track fits?

Tell us your background and what you're aiming for — we'll point you to the right starting place.

Ask us