Facebook-f Linkedin Instagram Youtube Tiktok
Search
Professional Certificate

Professional Certificate in Artificial Intelligence and Machine Learning Foundation for Executives

Programme Structure


Programme NameProgramme ScheduleMode of DeliveryProgramme Code
AI and Machine Learning Begins with Me15 and 17 January 2025 | 9 am – 5.30 pmClassroom LearningTGS-2020506039
Future-Proof Businesses With Artificial IntelligenceTo be advisedClassroom LearningTGS-2020513879
Intelligent Transformation of BusinessesTo be advisedSynchronous e-LearningTGS-2022012295
Role of Ethics in Artificial IntelligenceTo be advisedClassroom LearningTGS-2022012321
Duration 7 days

Programme Overview

This Professional Certificate programme provides business professionals with a comprehensive understanding of AI and Machine Learning, exploring their definitions, applications, and future implications. Participants learn to leverage AI’s potential for enhancing operational performance while understanding its ethical and governance considerations. The curriculum covers digitalization, transformation, and intelligent business practices, equipping learners to navigate the evolving digital landscape effectively. By mastering these competencies, participants can confidently lead AI initiatives, implement ethical frameworks, and address operational challenges in AI governance and management. Based on a combination of up-to-date challenging content and many hands-on and mini-projects, this certificate empowers the participants to play an effective role in the modern business ecosystem.

Programme Objectives

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.

Prerequisites

At least a polytechnic diploma.

Reserve Your Seat Now
Contact Us

Chat with us

This programme is part of

  • Advanced Professional Certificate in Artificial Intelligence and Machine Learning for Executives and Technopreneurs

    • Types of Available Fundings

  • Enhanced Training Support
  • SFEC
  • PSEA

    • Instructors


    Dr Ai Xin

    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 teaching Artificial Intelligence and Data Science courses such as machine learning, deep learning and data mining. She graduated from NUS with a PhD degree in Electrical and Computer Engineering. Her research focused on Game Theoretical Modelling, Optimization Methods, Algorithm Design and Wireless Networks. She worked at BHP Billiton Marketing Asia for eight years, gaining extensive industry experience in various functions such as risk management, supply chain management, and sales and marketing planning.

    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 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

    Mr Raju Chellam

    Raju Chellam is a Fellow of ACE (Advanced Computing for Executives) at NUS School of Computing. He is the Editor-in-Chief 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) of Singapore. He was conferred as an SCS Fellow in March 2018. Raju is Hon Chairman of Cloud & Data Standards at ITSC (IT Standards Committee), Hon Vice President of SCS Cloud Chapter, and on the Exco of SCS AI & Robotics Chapter. He writes a regular column on tech in The Edge (Malaysia), Dataquest (India), and occasionally in The Straits Times (Singapore). Raju has been in the IT industry for the past 43 years. He was on the APEC DARE (Data Analytics Raising Employment) International Advisory Panel (2016 to 2023), and on the SWF (Singapore Writers Festival) Advisory Panel (2021 to 2023). Raju was previously Head of Big Data & Cloud Practice – as well as Healthcare & Government Solutions – at Dell South Asia (ASEAN, Indo-China, Mongolia & all South Asian countries except India). Prior to Dell, he was Managing Director of TechTrenders Asia, a boutique 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.

    Dr Sanka Rasnayaka

    Dr Sanka Rasnayaka

    I am a lecturer at the School of Computing, National University of Singapore.

    My teaching philosophy is to facilitate self-learning by guiding students' thinking towards the final learning outcome, rather than explaining to them how to get there. I enjoy teaching fundamental courses in Computer Science like Discrete Structures, Programming, Algorithms and specialised courses in AI, Machine Learning and Computer Vision.

    My research interests are on Continuous Authentication for modern personal devices, on-body gait biometric, privacy and human perceptions.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old or younger 40 years old or older
    S$2,043.75 S$793.75 S$2,043.75 S$793.75 S$6,812.50
    1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components for all short courses within a professional certificate in order to be eligible for SSG funding.
    3. Please note that all external funding for courses is limited in duration and subject to eligibility and availability.

    Advanced Computing for Executives

    11 Research Link
    COM 3, #B1-07
    Singapore 119391
    Email: soc-ace@nus.edu.sg

    Facebook-f Linkedin Instagram Youtube Tiktok

    terms and conditions  

    course catalogue  

    Registration Guides  

    About us

    Programmes for individuals     

    Solutions for organisations  

    ONLINE LEARNING