LAUNCHPOINT / LEARNING + TRAINING
Build understanding.
Then build something that works.
A proposed 16-week AI & engineering internship programme, followed by an optional four-week specialist extension. Guided learning and supervised practical training have separate, visible roles.
COMMON CORE / THEN A SPECIALIST CHOICE
A structured semester.
A focused contribution.
12 common-core courses cover foundations through delivery. The wider 30-course specialist catalogue supports six defined pathways and future scoped training.
Engineering foundations: Python, Linux & Git
40 h · learning + training
↗MTH110Mathematics for learning systems
24 h · learning + training
↗DAT120Data science: SQL, EDA & statistical reasoning
32 h · learning + training
↗ML201Machine learning: baselines to reliable decisions
40 h · learning + training
↗DL301Deep learning: DNNs, PyTorch, CNNs & sequences
32 h · learning + training
↗NLP310Language engineering: text to transformers
24 h · learning + training
↗AI320Generative AI, RAG & bounded agentic workflows
24 h · learning + training
↗MLO401Software delivery for AI: APIs, tests, Docker & CI
32 h · learning + training
↗MLO410MLOps: versioning, experiments, pipelines & monitoring
24 h · learning + training
↗RES420Scientific modelling, digital twins & research practice
16 h · learning + training
↗PRO430Engineering communication & career evidence
12 h · learning + training
↗CAP490Industry capstone & individual technical defence
73 h 20 m · learning + training
↗THE CAPSTONE
Your contribution
has to be inspectable.
Choose one problem with a defined baseline, an evidence plan, suitable data and a meaningful evaluation. The goal is a research-informed prototype, not an unsupported claim of a validated commercial product.
PROPOSED / BEFORE ENROLMENT
Make the commitment
an informed one.
Proposed weekday shifts are 08:30–13:30 and 15:00–20:00, one per learner. Core scheduled attendance is 400 hours including breaks. Fees, staffing, venue, cohort capacity, academic recognition, final criteria and student terms require confirmation.