Professional Certificate in Artificial Intelligence and Machine Learning Foundation for Executives
AI and Machine Learning Begins With Me:
26 Feb, 27 Feb 2024 | 9am – 5.30pm | Online
Future-Proof Businesses with Artificial Intelligence:
4 Mar 2024 | 9am-5.30pm | Online
Intelligent Transformation of Businesses:
11 Mar, 12 Mar 2024 | 9am-5.30pm | Online
Role of Ethics in Artificial Intelligence:
18 Mar, 19 Mar 2024 | 9am-5.30pm | Classroom Learning
Duration: 7 Days
This PC will equip learners with the following competencies:
• Articulating Artificial Intelligence (AI) and Machine Learning (ML) definitions, approaches, and applications.
• Understanding AI’s advantages, constraints, and the future.
• Recognise the opportunities and risks that AI may pose and how it can increase the operational performance to their businesses
• Provide a solid definition of digitalization, digital transformation, and intelligent transformation of businesses
• Determine the need for strong ethics and governance in AI
• Develop efficient internal corporate governance structures and measures for AI development and deployment
• Identify the operational issues of AI governance and management
Job Role Readiness
It will prepare learners in the following job roles to perform their responsibilities more effectively/ It will prepare learners for the following job roles:
- Business transformers
- Business advisors/analysts
Who Should Attend
Businesses and industries that are going to transform their business model into an AI-driven.
At least a polytechnic diploma.
(Click their photos to view their short biographies)
Dr Ai Xin
Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore (NUS). She has many years’ experience on teaching Artificial Intelligence and Data Science courses, e.g. machine learning, deep learning, data mining and etc.
She graduated from NUS with a PhD degree on Electrical and Computer Engineering. Her research focused on Game Theoretical Modelling, Optimization Methods, Algorithm Design and Wireless Networks.
She worked in BHP Billiton Marketing Asia for eight years and gained a lot of industry experience through different functions, e.g. risk management, supply chain management, sales and marketing planning and etc.
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.
Mr Raju Chellam is a Fellow of Advanced Computing for Executives (ACE) at the NUS School of Computing. He is the Chief Editor of the AI E&G BoK (AI Ethics & Governance Body of Knowledge), an initiative by the SCS (Singapore Computer Society) & IMDA (Infocomm Media Development Authority).
He is Hon Chair of Cloud & Data Standards at IT Standards Committee (IMDA/ESG). He is also on the APEC DARE (Data Analytics Raising Employment) International Advisory Panel, and on the Credence DTRS (Data Trust Rating System) Expert Panel. He was conferred as an SCS Fellow in March 2018.
Raju is Hon Vice President of the SCS Cloud Chapter, and former Vice Chair of SGTech’s Cloud & Data Chapter. He is Vice President (New Technologies) at Fusionex Group, a leading software company that specializes in ABC (AI, Big Data Analytics, & Cloud ). Raju has been in the IT industry for 40 years. He was previously Head of Big Data & Cloud Practice – as well as Healthcare & Government solutions – at Dell EMC South Asia (covering Asean, IndoChina, Mongolia & all South Asian countries except India).
Prior to Dell, he was Managing Director of TechTrenders Asia, an advisory that helped companies migrate legacy apps to the cloud. He has previously worked in Hewlett-Packard (APJ Director of Comms), AMI Partners Inc (APAC Vice President) and as the BizIT Editor of The Business Times, Singapore, for a decade.
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.
To enquire, email firstname.lastname@example.org
To register, click Register
AI and Machine Learning Begins With Me: TGS-2020503220 (Synchronous e-learning)
Future proof businesses with AI: TGS-2020504367 (Synchronous e-learning)
Intelligent Transformation of Businesses: TGS-2022012310 (Classroom Learning) / TGS-2022012295 (Synchronous e-learning)
Role of Ethics in Artificial Intelligence: TGS-2022012321 (Classroom Learning) / TGS-2022012323 (Synchronous e-learning)