This module aims to introduce you 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.
Deep Learning Fundamentals is a module selected from the Specialist Diploma in Applied Artificial Intelligence. It enables you to acquire new skills or deepen relevant skills without the need to pursue a full specialist diploma. As this is a stackable course, you may choose to complete the remaining modules within the validity period, of 2 years, to be awarded the full Specialist Diploma qualification
Entry Requirements
At least a local Polytechnic Diploma or recognized Degree in science, engineering, information 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.
Conditional Offer
Graduating students (in final semester) from a local polytechnic may apply for the programme.
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here for more information on how to apply for the programme and receive a Conditional Offer
The polytechnic reserves the right to shortlist and admit applicants.
Please click on the "Register" button to view the updated course schedule and fees on the Skills Training & Enhancement Portal (STEP).