Learning Programme

Our 4 term learning programme combines leading MOOCs, hosted lab sessions and industry projects.

Term 1 does prepatory learning to develop the basics of data science, machine learning and AI.  Cadets commence their industry engagement.We kick off with machine learning models in python and tensorflow.

  • 16 hours coursework per week
  • 16 hours lab work per week
  • 16 hours industry project

Full Stack Deep Learning

Full Stack Deep Learning

Coursera

DeepLearning.AI

Term 2 digs deeper into AI & ML techniques.  Specific topics are addressed to feed into data collection and productisation.

  • 12 hours coursework per week
  • 12 hours lab work per week
  • 24 hours industry project

Term 2 digs deeper into AI & ML techniques.  Specific topics are addressed to feed into data collection and productisation.

  • 8 hours coursework per week
  • 8 hours lab work per week
  • 32 hours industry project

Term 4 consolidates learned skills through producing a folio of deliverables.

  • 8 hours coursework per week
  • 8 hours lab work per week
  • 32 hours industry project

Prerequisites

It is expected that cadets have an understanding of programming, with some experience with python.  Additionally an understanding of basic mathematics, statistics and probability is essential.

Courses below provide a good basis for prerequisites expected for this program.