Deep Learning Fundamentals

This module is part of the Post-Diploma Certificate in Applied Artificial Intelligence (Specialist Diploma in Applied Generative Artificial Intelligence).

What You'll Learn

This module aims to introduce participants to the key topics associated with deep learning. This module will cover the fundamental underpinnings of Artificial Neural Networks (ANN), Convolution Neural Networks (CNN), Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM) networks and the fundamentals will be supported with practical work that involves participants developing and deploying an ANN, CNN, RNN, and LSTM.

Minimum Entry Requirement

At least a local Polytechnic Diploma or recognized Degree in science, engineering, technology, or any other disciplines with at least three (3) years of relevant work experience.

Recognition of prior learning: Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or entrance test.