AI and IoT: New Disruptive Skills for Young Leaders




This programme introduces participants to the latest technologies in Internet-of-Things (IoT), Artificial Intelligence (AI) and Machine Learning (ML). At the completion of the course, students will have the knowledge on the fundamentals of AI and IoT systems, and the relationship between them. They will also acquire skills and handson experience in applying AI and ML on real-world data using IoT systems as an example application.


  • Fully synchronous programme with a mix of thematic discussions and short practice sessions.
  • The live sessions will cover technical material and hands-on work through plenary lectures and interactive breakout rooms.
  • The programme is designed with Continuous Assessments format to sharpen the understanding and application of ideas learned during the lectures.
  • Mini Project – There will be a mini group project in which students will solve and analyse a problem related to AI and IOT. 


There are no specific pre-requisites in terms of math or computational science. Some exposure to calculus, linear algebra, and statistics would be useful. Familiarity with scientific programming languages such as Python would be helpful. The class will incorporate practical assignments in Python.


Pre-university or high school students who are looking to gain fundamental knowledge of Artificial Intelligence and Internet-of-Things, and its business applications.


18 hours of online synchronous programme, combining both lectures and interactive tutorials


  • Individual assignments and mini quizzes
  • Team project
 Professor Mehul Motani

Dr Mehul Motani, Associate Professor, Department of Electrical and Computer Engineering,
Faculty of Engineering

Prof Mehul Motani received the B.E. degree from Cooper Union, New York, NY, the M.S. degree from Syracuse University, Syracuse, NY, and the Ph.D. degree from Cornell University, Ithaca, NY, all in Electrical and Computer Engineering.

Prof Motani is currently an Associate Professor in the Electrical and Computer Engineering Department at the National University of Singapore (NUS) and a Visiting Research Collaborator at Princeton University, USA. He is also a member of the NUS Institute for Data Science, the N.1 Institute for Health, and the NUS Smart Systems Institute. Previously, he was a Visiting Fellow at Princeton University. He was also a Research Scientist at the Institute for Infocomm Research in Singapore, for three years, and a Systems Engineer at Lockheed Martin in Syracuse, NY for over four years. His research interests include information theory and coding, machine learning, biomedical informatics, wireless and sensor networks, and the Internet-of-Things.

Prof Motani was the recipient of the Intel Foundation Fellowship for his Ph.D. research, the NUS Annual Teaching Excellence Award, the NUS Faculty of Engineering Innovative Teaching Award, and the NUS Faculty of Engineering Teaching Honours List Award. He is a Fellow of the IEEE and has served as the Secretary of the IEEE Information Theory Society Board of Governors. He has served as an Associate Editor for both the IEEE Transactions on Information Theory and the IEEE Transactions on Communications. He has also served on the Organizing and Technical Program Committees of numerous IEEE and ACM conferences.


Successful participants who complete all requirements of the programme including passing the assessment will receive a certificate of completion issued by NUS SCALE.

A sample of the certificate of participation can be found here: 


Group Sign-up:
12 - 19 December 2020 
in collaboration with Adam Khoo Learning Technologies Learning Group (AKLTG)

Open Enrolment: 
12 - 19 December 2020


Please click here to download a user guide to our online registration portal. Kindly create an account using the details of the programme participant (name, date of birth, etc.) to ensure that the e-certificate of completion is processed correctly. 

For enquiries, please contact us at
17 November 2020