Artificial Intelligence & Business Strategy 


Day 1: Overview of AI and Its Entrepreneurship Landscape

This module discusses what Artificial Intelligence is—its history, fundamental technologies, up-to-date tools and influential applications—and the global innovation and entrepreneurship landscape in AI.

Day 1: Computer Vision and Machine Learning

Focusing on Computer Vision and Machine Learning, the two currently dominating AI technologies where NTU’s research strengths lie in, this module introduces the general development and the up-to-date innovations of AI technologies, and their applications in business.

Day 2: AI in Healthcare in the Age of Industry 4.0

This module focuses on the applications of AI in the healthcare industry as well as its impact. By learning how AI technology transformed and is transforming the business, participants can prepare themselves for the next industry revolution.

Day 2: AI in Fintech

This module focuses on the applications of AI in the fintech industry as well as its impact. By learning how AI technology transformed and is transforming the business, participants can prepare themselves for the next industry revolution.

Day 3: AI in Autonomous Vehicles

This module focuses on the applications of AI in the autonomous vehicles industry as well as its impact. By learning how AI technology transformed and is transforming the business, participants can prepare themselves for the next industry revolution.

Day 3: AI in Society and Future Prospects

This module generalizes the impact of AI technology on society and discusses on how to balance the risks and rewards of AI in the future.

The Nanyang Technopreneurship Centre reserves the right to make changes to the above programme schedule according to the circumstances and availability prevailing at any particular time.

Key Takeaways

Full 3-Day Programme Cost


Non-Subsidy Base Grant Mid-Career Enhanced Subsidy Enhanced Training Support for SMEs (ETSS) 
Subsidy 70% 90% 90%
Eligibility International Singaporean or Singaporean PR aged ≥ 21 Singaporean aged ≥ 40 Singaporean or Singaporean PR who is SME sponsored
Course Fee


$3,600 – $2,520 = $1080

$3,600 – $3,240 = $360

$3,600 – $3,240 = $360






Full Fee Payable






• For Grants, all GST is based on the course fee after Base Grant

• Not allowed to apply 2 grants at the same time, excluding SkillsFuture Credit ($500)

• Singaporean aged ≥25 can utilize SkillsFuture Credit ($500) to defray part of the Payable Programme Fee (Self-paying only)

• SMEs get to enjoy Absentee Payroll (AP) funding


More information on Mid-Career Enhanced Subsidy (MCES) More information on Enhanced Training Support for SMEs (ETSS) More information on SkillsFuture Credit (Self-Paying Participants)

AI Programme

Up to 90% Subsidy SkillsFuture Series

Why NTU?

Top University in the World for Citation in AI Research

Strong University-Industry
AI Collaboration


Experienced and Efficient AI
Talent Training

In the World’s Best Young Universities

In the QS World University Rankings

Engineering & Technology (by faculty)


Dr. WEN Yonggang

Associate Dean (Research), College of Engineering
Associate Professor, School of Computer Science and Engineering
NTU Singapore

Wen Yonggang is an associate professor with school of computer engineering at Nanyang Technological University, Singapore. He is also serving as the Associate Dean (Research) at the College of Engineering. He received his PhD degree in Electrical Engineering and Computer Science (minor in Western Literature) from Massachusetts Institute of Technology (MIT), Cambridge, USA. Previously he has worked in Cisco to lead product development in content delivery network, which had a revenue impact of 3 Billion US dollars globally. Dr. Wen has published over 200 papers in top journals and prestigious conferences. His work in Multi-Screen Cloud Social TV has been featured by global media (more than 1600 news articles from over 29 countries) and received ASEAN ICT Award 2013 (Gold Medal). His work on Cloud3DView, as the only academia entry, has won the Data Centre Dynamics Awards 2015 – APAC, and 2016 ASEAN ICT Awards (Gold Medal). He is a co-recipient of 2015 IEEE Multimedia Best Paper Award, and a co-recipient of Best Paper Awards at IEEE Globecom 2016, EAI/ICST Chinacom 2015, IEEE WCSP 2014, IEEE Globecom 2013 and IEEE EUC 2012. He serves on editorial boards for 8 prestigious journals, including IEEE Wireless Communications, IEEE Communications Survey & Tutorials, IEEE Transactions on Multimedia, IEEE Transactions on Signal and Information Processing over Networks, IEEE Access Journal and Elsevier Ad Hoc Networks, and was elected as the Chair for IEEE ComSoc Multimedia Communication Technical Committee (2014-2016). His research focuses on large-scale networked computer systems with applications to artificial intelligence, big data, cloud computing, and machine learning.

Dr. ZHANG Zhenjie

Head of R&D, YITU Technology Singapore

Dr. Zhang Zhenjie currently is the head of R&D Department at Yitu Technology Pte. Ltd. (Singapore). Before joining Yitu, Dr. Zhang was a senior research scientist of Advanced Digital Sciences Center (ADSC), an affiliation of UIUC in Singapore. He received his PhD degree in Computer Science from National University of Singapore. He is an active researcher in highly diversified areas, including database, machine learning and distributed system. He has published over 70 research papers on top computer science venues, such as SIGMOD, ICML, NIPS and USENIX conference. He was the recipient of early-career award honorable mention of IEEE Technical Committee of Data Engineering (TCDE).

Dr. YU Han

Nanyang Assistant Professor, School of Computer Science and Engineering
NTU Singapore

Dr Yu Han is a Nanyang Assistant Professor (NAP) at the School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore. He has been a Visiting Scholar at the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST) from 2017 to 2018. Between 2015 and 2018, he held the prestigious Lee Kuan Yew Post-Doctoral Fellowship (LKY PDF) at the Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY). Before joining NTU, he worked as an Embedded Software Engineer at Hewlett-Packard (HP) Pte Ltd, Singapore. He obtained his PhD from the School of Computer Science and Engineering, NTU in 2014. During his PhD study, he held the prestigious Singapore Millennium Foundation (SMF) PhD Scholarship. His research focuses on online convex optimization, ethical AI, federated machine learning and their applications in complex collaborative systems such as crowdsourcing. He has published 120 research papers in book chapters, leading international conferences and journals including AAAI, IJCAI, ASE, ACM MM, AAMAS, ACM/IEEE Transactions, Proceedings of the IEEE, as well as Nature Research journals – npj Science of Learning, Scientific Data and Scientific Reports. His research work has been recognized with 11 awards and 9 award nominations from conferences and journals. In both 2014 and 2015, he was selected to be one of the Top 10 Global Young Scientists under 35 during the Global Young Scientists Summit (GYSS).

Dr. AN Bo

Assistant Chair (Innovation)
Director of Innovation Lab
Associate Professor, School of Computer Science and Engineering
NTU Singapore

An Bo is an Associate Professor and the President’s Council Chair in Computer Science and Engineering, Nanyang Technological University, Singapore. He received the Ph.D degree in Computer Science from the University of Massachusetts, Amherst. His current research interests include artificial intelligence, multiagent systems, computational game theory, reinforcement learning, and optimization. His research results have been successfully applied to many domains including infrastructure security and e-commerce. He has published over 90 referred papers at AAMAS, IJCAI, AAAI, ICAPS, KDD, WWW, JAAMAS, AIJ and ACM/IEEE Transactions. Dr. An was the recipient of the 2010 IFAAMAS Victor Lesser Distinguished Dissertation Award, an Operational Excellence Award from the Commander, First Coast Guard District of the United States, the 2012 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice, and 2018 Nanyang Research Award (Young Investigator). His publications won the Best Innovative Application Paper Award at AAMAS’12 and the Innovative Application Award at IAAI’16. He was invited to give Early Career Spotlight talk at IJCAI’17. He led the team HogRider which won the 2017 Microsoft Collaborative AI Challenge. He was named to IEEE Intelligent Systems’ “AI’s 10 to Watch” list for 2018. He was invited to be an Advisory Committee member of IJCAI’18. He is a member of the editorial board of JAIR and the Associate Editor of JAAMAS, IEEE Intelligent Systems, and ACM TIST. He was elected to the board of directors of IFAAMAS and senior member of AAAI.

Mr. Niels de Boer

Programme Director
Future Mobility Solutions (Autonomous Vehicles)
Energy Research Institute @ NTU (ERI@N)
NTU Singapore

Niels de Boer joined NTU as a Senior Scientist in the Energy Research Institute (ERI@N). He is also the Program Director of the Centre of Excellence for Testing & Research of Autonomous Vehicles – NTU (CETRAN). Prior to joining NTU, has a long track record of delivering R&D projects in Industry. His experience includes work on automotive powertrain development in Delphi Singapore where was responsible for software development but also part of the global core team which developed processes to ensure software quality. Subsequently, he was responsible for automotive infotainment platform development and research in automotive infotainment systems in Siemens-VDO/Continental. After working in the automotive field, Niels moved to a more research based environment where he was responsible as R&D Director for the development of electrical drivetrains for Vestas and later was responsible for research on electrical systems not only including the wind turbine drivetrain but also the wind farm and grid connectivity. Prior to his current role, Niels was Technology Quality Manager at Lloyd’s Register where he was responsible for ensuring the outputs of all research globally relating to Energy Technology meet business objectives. This included the development if certification requirements and certification assessment methodologies.

Dr. Andrew Prahl

Assistant Professor, Wee Kim Wee School of Communication and Information
NTU Singapore

Dr. Andrew Prahl is an assistant professor with Wee Kim Wee School of Communication and Information at Nanyang Technological University, Singapore. He received his PhD degree from University of Wisconsin-Madison. Andy’s research area focuses on the difference between trusting humans and trusting machines. His work has explored the behavioural and psychological consequences of replacing humans with automation as well as the best practices for integrating automation into organisations. Beyond organisations, his research touches on core questions of just what makes us human and if machines can truly replace human intelligence. His project with lecture Wong Pei Wen “Solving Moral Ambiguity in the Fourth Industrial Revolution: Building a FIRM Platform that Enables a Corresponding Revolution in Ethical Thought and Reasoning” received the Commendation Award in the inaugural NISTH Ideas Challenge AI for Humanity Competition in 2019.

Contact Us

(+65) 6513 8117

click to register now

Skip to toolbar