Artificial Intelligence Begins With Me

Course Reference Number: CRS-N-0051101
‘AI and Machine Learning Begins With Me' – revised title wef 15th June 2020

 EPD Calendar

Course Objectives

This course is designed to teach you what Artificial Intelligence (AI) is, and what its applications are. The learners will comprehend the basic AI-related terms such as Machine Learning, Deep Learning, and Expert Systems which will play a key role in the future of technology and science. Learners by working on some simple practices and small-scale projects will understand practical uses of AI in business and daily life as well as its diverse applications and possibilities, including AI as a career. In doing so, learners will be also able to appreciate the challenges of AI. As it is an introductory course, learners do not have to be an IT expert or programmer to attend it.

The course aims to equip learners with the knowledge and skills to:
• Define AI, machine learning and deep learning
• Use AI utilities in various businesses and/or work contexts
• Implement AI, machine learning and deep learning in their daily lives 

At the end of the course, participants will be able to:
• Define the basic concepts of AI
• Describe the important challenges in the field of AI
• Interpret important AI approaches to problem solving
• Describe search and optimization techniques and the heuristics
• Understand machine learning and apply it to the context of their businesses and/or work contexts
• Explain deep learning
• Identify where and how AI (and Machine Learning and Deep Learning) is applicable to their own business challenges
• Identify the impacts of implementing AI to their businesses


Day 1
• Overview of Artificial Intelligence
• Search
• Logic

Day 2
• Machine Learning
• Deep Learning 


Python and Octave


General IT knowledge and general math knowledge

Who Should Attend

Anyone who is interested in AI and who possesses general IT knowledge and general math knowledge

Mode of Training

Online Workshop using Zoom


Dr. Amirhassan Monajemi 

Dr. Amirhassan Monajemi is a Senior Lecturer in AI and Data Science with the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS).

Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in 1968 in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications.

He has taught the artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007. 

He has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection.

He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimization. 


09 - 12 Jun 2020 (Online: 9am – 1pm)
14 - 15 Sep 2020


2 Days
9.00am – 5.30pm


National University of Singapore
University Town

Fees & Fundings

International Participants


Incl. GST

Singapore Citizens (39 yrs old or younger)  or Singapore PRs


Incl. GST

Singapore Citizens
(40 yrs or older)


Incl. GST

Enhanced Training Support for SMEs


Incl. GST

Singapore Citizen1
39 years old or younger
Singapore Citizen1
40 years or older eligible for MCES2
Singapore Citizen1
eligible for WTS3
Singapore PRs Enhanced Training
Support for SMEs4
Full Programme Fee S$1,700.00 S$1,700.00 S$1,700.00 S$1,700.00  S$1,700.00 S$1,700.00 
SkillsFuture Funding
Eligible for Claim Period
6 Nov 2019 to 30 Sep 2020)
- (S$1,190.00) (S$1,190.00) (S$1,190.00) (S$1,190.00) (S$1,190.00)
Nett Programme Fee S$1,700.00  S$510.00 S$510.00  S$510.00 S$510.00  S$510.00 
7% GST on Nett
Programme Fee
S$119.00 S$35.70 S$35.70  S$35.70 S$35.70  S$35.70
Total Nett Programme
Fee Payable, Incl. GST
S$1,819.00 S$545.70 S$545.70  S$545.70 S$545.70  S$545.70
Less Additional Funding if
Eligible Under Various Scheme
- - (S$340.00) (S$425.00) - (S$340.00)
Total Nett Programme Fee, Incl. GST,
after additional funding from the various funding schemes
S$1,1819.00 S$545.70 S$205.70 S$120.70 S$545.70 S$205.70

  1. All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. Visit to select the programme. 
  2. Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. 
  3. 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 programme fee. 
  4. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. For more information, visit
  5. Eligible organisations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect at for Singaporean/permanent resident participants attending the programme during working hours. The absentee payroll funding is computed at 80% of hourly basic salary capped at $4.50 per hour or $7.50 per hour for SME or 95% of hourly basic salary for WTS. For more information, visit
  6. NTUC Training Fund (SEPs) – All self-employed (i.e. freelancers and sole-proprietors-with-no-employee) Singaporeans and Permanent Residents are eligible to apply for the NTUC Training Fund (SEPs) from NTUC’s Employment and Employability Institute (e2i). Click here for more information.
NTUC members enjoy 50% of the unfunded course fee support for up to $250 each year for courses supported under UTAP (Union Training Assistance Programme). Terms and Conditions apply. Please visit
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29 May 2020