Professional Certificate in Deep Learning for IoT

Professional Certificate

Programme Structure

Course Name	Course Schedule	Mode of Delivery	TGS Reference Number
Statistical Models for the Internet of Things	To be advised	Classroom Learning	TGS-2025057670
Neural Networks for the Internet of Things	To be advised	Classroom Learning	TGS-2025057487
Deep Learning for the Internet of Things	To be advised	Classroom Learning	TGS-2025057142

Programme Overview

In the rapidly evolving landscape of the Internet of Things (IoT), harnessing the power of data is paramount. Our Professional Certificate in Deep Learning for IoT is designed to equip learners with indispensable skills, ensuring they are at the forefront of this technological revolution. Learners will delve into the application of statistical methods, enabling them to decipher and predict intricate patterns within IoT data. The programme goes beyond the basics, empowering learners to design deep learning networks that not only learn and predict but also make informed decisions within the complex IoT ecosystem.

Programme Objectives

This Professional Certificate will equip learners with the following competencies:

Apply simple statistical methods to analyzing and understanding IoT data to make predictions and diagnoses
Design neural networks to learn and make predictions and decisions about IoT data
Design and build sophisticated deep learning neural networks to analyse, understand and react to IoT data

Job Role Readiness

It will prepare learners in the following job roles to perform their responsibilities more effectively/ It will prepare learners for the following job roles:

IoT engineers
Specialists in machine learning

Who Should Attend

IoT engineers and specialists in machine learning.

Prerequisites

Bachelor’s Degree in Computing or Mathematics, with programming knowledge
Other Bachelor’s Degree holders with programming knowledge may be considered.
Learners should have completed the Professional Certification in Cloud Technologies for the Internet of Things before embarking on the short course, ’Statistical Models for the Internet of Things’.

Enquire

Funding Available

SkillsFuture Funding

SkillsFuture Credit

Enhanced Training Support

SFEC

PSEA

Instructors

A/Prof Colin Tan Keng Yan

Programme Fees

Singapore Citizens		Singapore PRs	Enhanced Training Support for SMEs	International Participants
39 years old or younger	40 years old or older	Singapore PRs	Enhanced Training Support for SMEs	International Participants
S$3,363.00	S$2,223.00	S$3,363.00	S$2,223.00	S$6,213.00

Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
Participants must fulfill at least 70% attendance and pass all assessment components for all short courses within a professional certificate in order to be eligible for SSG funding.
The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.
For more information on class cancellations and refunds, please visit our Terms and Conditions page.

NOTE

As AI and emerging technologies continue to reshape industries and transform workforce skill requirements, we are refreshing our programme portfolio to ensure our offerings remain relevant, responsive, and aligned with evolving industry needs.

As outlined on our website since December 2025, the Advanced Professional Certificate (APC) and Professional Certificate (PC) programmes will be phased out by June 2026. As part of this transition, we are developing and introducing new courses and learning opportunities to help learners acquire the skills needed to thrive in a rapidly changing environment. A selected number of existing individual courses will also continue to be offered.

To explore our upcoming courses and learning opportunities, please visit: https://www.comp.nus.edu.sg/executive-education/upcoming-courses/. For any enquiries, please contact us at socx@nus.edu.sg.

A/Prof Colin Tan Keng Yan

Get Your Brochure