Academy for Continuing Education (ACE)

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

Click here for more information on the Entry Requirements.

Commencement Date	Mode and Venue	Schedule
October 2022	Face-to-face at RP Woodlands Campus	Three times a week 3 Weekday  OR 2 Weekday + Saturday Weekday : 6:30 pm – 9:30 pm Saturday: 9am – 12pm

Note: Some lessons will be conducted via E-Learning

Fees for Jan 2023 intake

Full Course Fees (with GST)	Singapore Citizens aged 39 & below	Singapore Citizens aged 40 & above	Singapore PR	SME-sponsored Singapore Citizens	SME-sponsored Singapore PR
$741.51	$222.45	$74.15	$222.45	$83.85	$83.85

Fees for Apr to Oct 2023 intakes

Full Course Fees (with GST)	Singapore Citizens aged 39 & below	Singapore Citizens aged 40 & above	Singapore PR	SME-sponsored Singapore Citizens	SME-sponsored Singapore PR
$761.40	$222.45	$74.15	$228.42	$83.85	$87.42

Notes:
- Payment may be made using SkillsFuture Credit.
- Fees reflected are inclusive of Goods and Services Tax (GST). In line with the government fee freeze directive from 1 Jan to 31 Dec 2023, the fees in 2023 for Singapore Citizen will remain the same as 2022. RP will absorb the additional 1% GST for Singapore Citizen in 2023 only.


Republic Polytechnic reserves the right to make changes to the course fee and application closing dates without prior notice. The commencement of each course is subject to sufficient number of participants. 

All information is accurate at time of publishing.