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Advanced Certificate in Artificial Intelligence in the Digital Economy Module 1: Introduction to Artificial Intelligence in the Digital Economy

  • Analytics & Tech
  • Innovation & Business Improvement
Next Intake: 4 Aug 2025 (Mon)
  • Basic
  • SkillsFuture
  • Short Courses
  • This module is part of Advanced Certificate in Artificial Intelligence in the Digital Economy

This module is conducted in-person.

Next course starts on
4 Aug 2025 (Mon) See Full Schedule
Fee
SGD2,180* (as low as SGD254 after maximum funding) Learn More
Duration

2 Full Days (Weekdays)

Level
Basic

Who Should Attend

  • Professionals across technology, data science, business development, and other sectors seeking foundational knowledge and strategic application of artificial intelligence (AI) within their organisations.

PREREQUISITES

There are no prerequisites for this programme. Prior knowledge on any of the topics is not required

Overview

Module 1 provides a comprehensive overview of the role and impact of AI within the digital economy. This module aims to equip participants with a foundational understanding of AI concepts, applications, and implications for businesses operating in today's digital landscape. Through interactive lectures, case studies, and practical exercises, participants will gain valuable insights into leveraging AI technologies to drive innovation and competitive advantage within their respective organisations while also considering ethical implications associated with its adoption.

Learning Objectives

At the end of the 2-day module, participants will be able to:

  • Understand the fundamental concepts and principles of artificial intelligence (AI) and its applications in the digital economy
  • Analyse the impact of AI on various industries within the digital economy, including but not limited to finance, healthcare, and e-commerce
  • Evaluate ethical considerations related to AI implementation in the digital economy, including privacy concerns and bias mitigation strategies
  • Demonstrate proficiency in using AI tools and technologies to solve real-world problems within a business context
  • Critically assess emerging trends and future developments in AI that are likely to shape the digital economy landscape

Assessment

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.

Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.

Calculate Programme Fee

Click here for more information about SkillsFuture Credits (Not applicable for Company-sponsored participants)
For PSEA - Available only for Singapore Citizen below 31 (Not applicable for Company-sponsored participants)

Total Program Fee: SGD0.00

Fee Table

COMPANY-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$654

(After SSG Funding 70%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$654

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$254

(After SSG Funding 70%
+ MCES Funding 20%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$254

(After SSG Funding 70%
+ MCES Funding 20%)

International Participant

$2,180

(No Funding)

$2,180

(No Funding)

$2,180

(No Funding)

All prices include 9% GST

Please note that the programme fees are subject to change without prior notice.

Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.

Self Sponsored

SkillsFuture Credit

Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.

This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.

Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).

Workfare Skills Support Scheme

From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.

Company Sponsored

Enhanced Training Support for SMEs (ETSS)

  • Organisation must be registered or incorporated in Singapore
  • Employment size of not more than 200 or with annual sales turnover of not more than $100 million
  • Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
  • Trainees must be Singapore Citizens or Singapore Permanent Residents
  • Trainees must not be a full-time national serviceman
  • Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here. 

Please click here for more information on ETSS.

Absentee Payroll

Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:

AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)

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*Online registration will close 5 calendar days before the course start date

Trainers

Murphy Choy
Chief Executive Officer
Alionova Consulting
Murphy Choy
Chief Executive Officer
Alionova Consulting

Murphy is a senior executive with over a decade of expertise in data analytics and machine learning, leveraging data to drive business outcomes and develop innovative solutions. He has held leadership roles in corporate and academic sectors, including board positions, and earned awards like the IEOM Industry Solution Award (2018) and Innovation Award (2021).

Currently researching AI ethics, generative AI, and Computational Social Science, he teaches at universities across the ASEAN region and holds an adjunct position at Singapore Management University.  

His teaching accolades include the Teradata Award (2013) and DSI Best Case Finalist (2018), alongside training programs for global banks, governments, and institutions. Murphy’s Six Sigma Black Belt certification enhances his process optimization skills, complemented by cybersecurity knowledge.

A prolific consultant to banks, logistics firms, and governments, he holds a Doctorate in Business Analytics, Master’s in Finance, and Bachelor’s in Statistics, plus adult learning certifications (ACLP, DACE). Published widely in peer - reviewed journals and serving on academic boards, he bridges technology, business, and education as a leading expert.

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