Future-Proof Businesses With Artificial Intelligence
Date: 4 Mar 2024 | 9am-5.30pm | Online Learning
Duration: 1 Day
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.
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
Who Should Attend
Managers, advisors, supervisors and entrepreneurs.
Basic IT knowledge, e.g. Microsoft Office
(Click their photos to view their short biographies)
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 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
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
GST shall apply at prevailing rates
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
This course is eligible for Union Training Assistance Programme (UTAP).
NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. Please click here for more information.
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TGS-2020504367 (Synchronous e-learning)
Course Fee Breakdown
Singapore Citizens39 years old or younger
Singapore Citizen40 years old or older