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Course Detail

Top AI Skills to Learn - Introduction to AI (Basic)


The rise of Artificial Intelligence (AI) has grown rapidly as a powerful problem solver of various real-world problems. This success is mainly supported by rapid advances in data collection, data infrastructure and computational platform which makes possible to build reliable AI model to be deployed in real-time. In this course, students are taught the basic AI concepts which encompass problem solving, knowledge representation and reasoning, learning. It gives an introduction of evolutionary computation theory as an effective optimization approach while covering the concept of fuzzy logic and fuzzy inference system emulating a human-like reasoning approach to address highly uncertain and nonlinear problems. Moreover, the concept of learning will be delivered with an introduction of shallow and deep neural networks. Student will receive hands-on experience in real-world problems including condition monitoring of manufacturing processes, control of autonomous vehicle, industrial process control, indoor localization, etc.


Date(s): 13 January 2020
Time: 9:00AM to 5:00PM
Venue: NTU@one-north campus, Executive Centre (Buona Vista)
Closing Date:
30 December 2019
Course Fee: Standard: S$642.00   View more
Registration fees inclusive of:
  • Complimentary lunch
  • Course materials
  • Light refreshments
  • Prevailing GST


This course will cover theory and practical skill of artificial intelligence. Specifically, topics covered will include fuzzy logic, neural networks and deep learning neural networks accompanied with real-world examples: tool condition monitoring, robot control, etc. It involves hands on experience with MATLAB for real-world implementation of the concept.


1. Neural Networks

2. Fuzzy Systems

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Mahardhika, Pratama

Dr. Mahardhika Pratama received his PhD degree from the University of New South Wales, Australia in 2014. Dr. Pratama is a tenure-track assistant professor at the School of Computer Science and Engineering, Nanyang Technological University, Singapore. He worked as a lecturer at the Department of Computer Science and IT, La Trobe University from 2015 till 2017. Prior to joining La Trobe University, he was with the Centre of Quantum Computation and Intelligent System, University of Technology, Sydney as a postdoctoral research fellow of Australian Research Council Discovery Project. Dr. Pratama received various competitive research awards in the past 5 years, namely the Institution of Engineers, Singapore (IES) Prestigious Engineering Achievement Award in 2011, the UNSW high impact publication award in 2013 and 2014, IEEE TFS prestigious publication award in 2018, Amity researcher award. Dr. Pratama has published in top journals and conferences and edited one book, and has been invited to deliver keynote speeches in international conferences. Dr. Pratama has led five special sessions and two special issues in prestigious conferences and journals.

He currently serves as an editor in-chief of International Journal of Business Intelligence and Data Mining and a consultant at Lifebytes, Australia. Dr. Pratama is a member of IEEE, IEEE Computational Intelligent Society (CIS) and IEEE System, Man and Cybernetic Society (SMCS), and Indonesian Soft Computing Society (ISC-INA). His research interests involve autonomous deep learning, data stream, control system, predictive maintenance and autonomous vehicle.  

  • Data/Business/Financial Analysts
  • Data Analytic/Data Science Professionals
  • Hardware/Data/Systems/IoT Engineers
  • Systems Administrators
  • Other IT professionals with Disciplines from Various Backgrounds
Standard Course Fee S$642.00
Course fee payable after SSG funding, if eligible under various schemes

Cat-A SSG Funded Courses1


Enhanced Training Support for SMEs (ETSS) 2


Mid-Career Enhanced Subsidy (MCES)3


Workfare Training Support (WTS)4

Standard Course Fee $642.00
Course fee payable after funding or subsidy, if eligible under various schemes
Course fee payable after Discount^

Group of 3 pax and above


NTU/NIE Alumni, Staff & Students


NTUC Member

- All fees stated are inclusive of 7% GST
- SkillsFuture Credit can be used to offset course fees payable.
With effect from 1 April 2020, eligible Singaporeans can start using their one-off SkillsFuture Credit top-up (up to S$500 credit), claimable for full range of SkillsFuture Credit-eligible courses offered by PaCE@NTU. For more information, please visit
1 Cat-A SSG Funded Courses - Eligible Singapore Citizens and PRs may enjoy up to 70% of the course fee. For more information, visit
Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singapore Citizens and PRs) may enjoy subsidies up to 90% of the course fee.
For more information, visit
3 Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fee.
For more information, visit

4 Workfare Training Support (WTS) - Singaporeans aged 35 and above (13 years and above for persons with disabilities) and earn not more than S$2,000 per month, may enjoy subsidies up to 95% of the course fee. For more information, visit
- The NTUC Training Fund (SEPs) is applicable for courses under the SkillsFuture Series courses. For more information, visit

^ Discount cannot be used in conjunction with other SSG funding scheme or NTU Alumni Course Credit. Participants are eligible for only ONE of the discount schemes.
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