Term 1
Fundamentals
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
Coursera
Term 2
Intermediate
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 3
Advanced
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
Consolidation
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.
