Future-Proof Businesses With Artificial Intelligence
Learn how AI impacts the business landscape with this AI course in Singapore. Explore ways to achieve sustainable success in your organisation.
Date: 20 Jul 2023 | 9am – 5.30pm | Online
Duration: 1 Day
Course Overview
Since its introduction, Artificial Intelligence (AI) has impacted businesses, bringing with it new opportunities and risks. This course will delve into the AI impact on businesses and the new fronts that AI will open to businesses in the future. The opportunities and risks that come along with the AI paradigm will be addressed as well.
The key factor that determines the possible success or failure of any business is its performance. In this course, we will focus on how AI can help us to improve the performance of our business.
Another key factor for sustainable success is the ability to monitor and respond to trends. AI will play a considerable role in the future trends of almost all businesses, from agriculture to education to industry to services. Consequently, AI will change the future.
This module is part of:
Professional Certificate in Artificial Intelligence for Non-AI Scientists
Professional Certificate in Artifical Intelligence and Machine Learning Foundation for Executives
Learning Outcomes
At the end of this course, participants will be able to:
• Understand the present and future of AI
• Describe the impact of AI on different businesses
• Describe the features of AI-integrated businesses
• Recognise the opportunities and risks that AI may pose to their businesses
• Analyse how AI can increase the operational performance of their businesses
Topics
- Overview of Artificial Intelligence
- Getting familiar with the course
- AI, now
- AI, future
- Areas and businesses that AI impacts
- AI Impacts Insight
- Performance enhancement
- Impacts on operations
- Impacts on quality
- Impacts on costs
- AI Impacts Insight
- Impacts on manufacturing
- Impacts on HR
- Impacts on the service sector
- New AI-related O&H
- Opportunities
- Hazards
- Review of practices
Who Should Attend
Managers, Advisors, Supervisors, Entrepreneurs
Prerequisites
Basic IT knowledge, e.g. Microsoft Office
Course Convener
(Click their photos to view their short biographies)
Dr Amirhassan Monajemi

Dr Amirhassan Monajemi
Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. 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 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.
Dr Monajemi 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 Optimisation.
Hear from the Participants
“It was a good course”
– ArulPrakash S/O Vellasamy
“Extremely illuminating and provided a great perspective on this rapidly evolving use of AI.”
– Luke Ooi
“Future-Proof Businesses with Artificial Intelligence course provides a good overview on how AI can be incorporated into businesses to improve performance. The applications of AI into different business contexts are discussed clearly which help us to understand the relevance and impacts of AI.”
– Durga Krishnamurthi
Course Fees
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.
NTUC members enjoy 50% unfunded course fee support for up to S$250 each year (or up to S$500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.
To enquire, email soc-ace@nus.edu.sg
To register, click Register
Course Code:
TGS-2020504367 (Synchronous e-learning)
Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)
Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.
Course Fee Breakdown
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or olderYou may also like to view:
Catalogue of Programmes for Individuals
- Course Category
- Artificial Intelligence & Machine Learning
- Business Analytics & Data Science
- Cloud Computing & Internet of Things
- Cybersecurity & Data Governance
- Digital Business & Technopreneurship
- Digital Health & Nursing Informatics
- Digital Technology & Innovation Management
- Digital Transformation & Change Leadership
- Education Technology & Learning Design
- Emerging & Disruptive Technologies
- FinTech & Blockchain
- Interactive Media Development & Metaverse
- Software Programming & Networking
- UX/UI Design & Digital Product Management