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Professional Certificate

Professional Certificate in Artificial Intelligence for Business

Programme Structure


Programme NameProgramme ScheduleMode of DeliveryProgramme Code
Robotics Process Automation Begins with Me (Power Automate Desktop)To be advisedClassroom LearningTGS-2022011443
Intermediate Robotics Process AutomationTo be advised (PC in Artificial Intelligence for Business)Classroom LearningTGS-2020504737
Expert SystemsTo be advisedSynchronous e-LearningTGS-2022012352
Explainable Artificial Intelligence FundamentalsTo be advisedSynchronous e-LearningTGS-2022012347
Duration 6 days

Programme Overview

Artificial Intelligence (AI) is essential for businesses because it enables them to analyse vast amounts of data and extract valuable insights, automate processes, and enhance decision-making capabilities. AI helps organisations in:

  • Data analysis: Businesses generate large amounts of data, and AI can help organizations make sense of this data by identifying patterns and trends that are not easily visible to humans. This can lead to better insights and more informed decision-making.
  • Process automation: AI can automate repetitive tasks, freeing up employees to focus on more complex tasks that require human expertise. This can lead to increased efficiency, reduced costs, and improved productivity.
  • Personalisation: AI can help businesses personalise their offerings based on customer data, preferences, and behavior. This can lead to improved customer satisfaction and loyalty.
  • Fraud detection: AI can help businesses detect fraudulent activity, such as credit card fraud or insurance fraud. This can help prevent financial losses and protect the organisation’s reputation.
  • Predictive analytics: AI can help businesses make predictions about future events, such as customer behavior or market trends. This can help organisations anticipate changes and stay ahead of the curve.

Overall, AI is important for business because it can help organisations make better decisions, improve efficiency, personalize offerings, detect fraud, and make predictions about the future. As AI technology continues to evolve, it will become increasingly important for businesses to incorporate AI into their operations in order to stay competitive and meet the demands of the modern business environment.

Programme Objectives

This Professional Certificate will equip learners with the following competencies:

  • Understand the workflow automation.
  • Develop their own simple bots in the MS-Power Automate environment.
  • Design and development of advanced RPA macros and recordings to automate administrative tasks and web scraping.
  • Help the business in AI-based automation and digital transformation.

Job Role Readiness

This Professional Certificate 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
  • IT Executives
  • Business Managers

Who Should Attend

  • Executives, Managers, Engineers
  • HR Officers and Administrative Sector Executives

Prerequisites

At least a polytechnic diploma

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This programme is part of

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

    • Instructors


    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.

    Dr Edmund Low

    Dr Edmund Low

    Dr Edmund Low is currently Senior Lecturer with the NUS College at the National University of Singapore. He has nearly 20 years of academic and professional experience in the use of data-driven tools to answer questions in public health and the environment. His past projects include applying AI techniques and machine learning models for environmental modelling and impact assessment. He currently heads the quantitative reasoning domain at USP, and teaches courses on statistical methods, data science and machine learning. As an educator, Edmund is a multiple recipient of both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. Edmund holds a PhD in Environmental Engineering from Yale University.

    Dr Prasanna Karthik Vairam

    Dr Prasanna Karthik Vairam

    Dr Prasanna Karthik Vairam is a faculty member at National University of Singapore. His research areas include software engineering, security and privacy of Internet users, and AI Privacy. He has a Ph.D. in computer science from the Indian Institute of Technology, Madras (IIT Madras) and a M.Tech degree in computer science from the Indian Institute of Technology, Bombay (IIT Bombay). In the past, he was a part of Intel’s processor development team, involved in graphics processor design. At NUS, Prasanna was awarded the Faculty Teaching Excellence Award twice, for 2023 and 2024.

    Tomithy Too

    Tomithy Too

    Tomithy invests with ST Telemedia – a global VC/PE fund which invests in Telcos, Data Centres, growth stage tech companies in the Artificial Intelligence, Cybersecurity and Cloud IT. As the technology investor, Tomithy actively works with target and existing portfolio companies on technical diligence, business strategy and commercial evaluation via their CTO, product & engineering teams. He is knowledgeable about enterprise software technology, trends and market dynamics in the US, China and Israel.

    He has a deep interest in governance and reliability of AI systems, generative AI, multi-agent AI systems, evolutionary algorithms and synthetic biology. Tomithy holds a degree in Computational Biology (Hons) from NUS, Masters in AI (SMU) and is currently pursuing a part-time PhD in AI Governance at SMU.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old or younger 40 years old or older
    S$1,896.60 S$736.60 S$1,896.60 S$736.60 S$6,322.00
    1. Total Nett Programme Fee Payable, Including GST, after additional funding from the 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. GST shall apply at prevailing rates.

    Connect with us

    11 Research Link
    COM 3, #B1-07
    Singapore 119391
    Telephone: +65 6516 5523
    Email: soc-ace@nus.edu.sg

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