Professional Certificate in Deep Learning for IoT

Date: To be advised

Duration: 6 Days

Course 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 analyze, 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 Engineer, specialists in machine learning

Who Should Attend

IoT Engineer, specialists in machine learning


• 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’.

Course Convener

(Click their photos to view their short biographies)

ddddd Colin Tan Keng Yan

Dr Colin Tan Keng YanDr Colin Tan Keng Yan

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email

To register, click Register

Course Code:
Statistical Models for the Internet of Things: TGS-2022011563 (Classroom Learning) / TGS-022013108 (Synchronous e-learning)
Neural Networks for the Internet of Things: TGS-2022011564 (Classroom Learning) / TGS- 2022013115 (Synchronous e-learning)
Deep Learning for the Internet of Things: TGS-022013118 (Classroom Learning) / TGS-2022013104 (Synchronous e-learning)

For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Strategic Tech Mgt Institute (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.