Course Overview

Infocomm Technology
Short Course
2 days
Fee Subsidy
Up to 90% SF Funding


Artificial Intelligence (AI) / Machine Learning (ML) is fast becoming a crucial part of business processes and is touted to be the key to successful digital transformation. 

However, these phrases remain buzzwords to many business executives. Without a basic understanding of AI/ML, the participation of these key personnel will be limited, and such digital transformations may fall short.

This 2-day course is for business/non-technical managers or executives, and it seeks to introduce and demystify these machine learning concepts.

The objective of this course is to equip business managers and executives with the foresight and relevant technical grounding to transform their businesses digitally.

Who Should Attend

  • Senior managers, innovation officers, and executives looking to inject AI techniques within their organisation’s work processes
  • Managers, executives and professionals in both ICT and non-ICT domains interested in getting an exposure to ML in broad strokes to stay up to date with today’s technology

  • Basic computer literacy and no advance preparation is required

What You Will Learn

Introduction to AI and ML

  • Participants will be introduced to various popular buzzwords

  • Terms such as machine learning, artificial intelligence, neural networks, and deep learning will be demystified

State-of the-art AI

  • Participants will be exposed to state-of-the-art technologies in AI (e.g., object detection, natural language processing, etc.) across sectors such as finance, human resource, etc.
  • Participants will appreciate that AI is not a silver bullet and there are still many limitations that AI is unable to solve
  • Participants are expected to submit a proposal how AI might possibly be applied in their workplace

AI Strategy, Expectations and Considerations

  • Participants will be exposed to several AI strategies relevant to their firms during digital transformations
  • Based on the proposal, participants will carry out some pen-and-paper exercises to design ML applications

Hands-on with ML

  • From the pen-and-paper exercises in lesson 3, participants will utilise a visual programming environment to create an ML prototype via drag-and-drop interactions without code

Social Implications

  • Participants will discuss possible social and ethical implications of AI, such as ethics in decision making, bias, and privacy

Teaching Team

Soh Cheng Lock, Donny
Soh Cheng Lock, Donny

Associate Professor / Prog Leader, Infocomm Technology, Singapore Institute of Technology

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Tan Chek Tien
Tan Chek Tien

Associate Professor, Infocomm Technology, Singapore Institute of Technology

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Course Run Dates Time
July 2024 Run 8 - 9 July 2024 9:00 am - 6:00 pm

    Introduction to Artificial Intelligence, Machine Learning, Supervised Learning / Unsupervised Learning / Reinforcement Learning, and Computer Vision
    Case Study 1: AI in Manufacturing


    Introduction to Neural Networks, and Natural Language Processing
    Case Study 2: AI in Business Support
    Case Study 3: AI in Finance


    Certificate and Assessment

    A Certificate of Participation will be issued to participants who

    • Attend at least 75% of the course
    • Undertake and pass non-credit bearing assessment during the course

    Fee Structure

    The full fee for this course is S$1,744.00.

    Category After SF Funding
    Singapore Citizen (Below 40) S$523.20
    Singapore Citizen (40 & Above) S$203.20
    Singapore PR / LTVP+ Holder S$523.20
    Non-Singapore Citizen S$1,744.00 (No Funding)

    Note: All fees above include GST. GST applies to individuals and Singapore-registered companies.

    Course Runs

    July 2024
    08 Jul 2024 - 09 Jul 2024
    2 days
    SIT@NYP, 172A Ang Mo Kio Avenue 8, S567739
    SGD $1,744.00
    Up to 90% SF Funding
    Apply By:
    16 Jun 2024 23:59