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Building a Step-by-Step Plan for Smarter Investment Decisions Using Generative AI (GenAI)

  • Artificial Intelligence
  • Finance & Investment
Next Intake: 11 Aug 2025 (Mon)
  • Basic
  • SkillsFuture
  • Short Courses

This programme is conducted online.

Next course starts on
11 Aug 2025 (Mon) See Full Schedule
Fee
SGD2,398* (as low as SGD279.40 after maximum funding) Learn More
Duration

4 days 
Weeknights (7pm - 10:30pm)
Saturday (9am - 2:30pm)

Level
Basic

Who Should Attend

  • Professionals interested in learning about the practical applications of Artificial Intelligence (AI) in investment analysis
  • Individuals who are keen on advancing their investment analysis skills with cutting-edge techniques

PREREQUISITES
A Bachelor's Degree; or A Diploma with at least 1 year of working experience

Overview

This course offers an in-depth exploration of artificial intelligence (AI) applications in investment analysis.

Covering economic data analysis, stock market, fixed income market, and currency markets, participants will learn to use Generative Artificial Intelligence (GenAI) for effective questioning, gaining various perspectives, uncovering blind spots, and discovering new opportunities. The course emphasises the importance of prompt engineering and checking against GenAI’s hallucinations. By the end of the course, participants will be equipped with the skills to leverage AI tools like GenAI for both narrow and comprehensive investment analysis.

Learning Objectives

  • Understand Artificial Intelligence (AI) Applications in Investment: To provide participants with a comprehensive understanding of how AI can be applied in various aspects of investment analysis, including economic data analysis, stock market, fixed income market, and currency markets
  • Hands-on Experience with Generative Artificial Intelligence (GenAI): To equip participants with practical skills in using GenAI for effective questioning, gaining various perspectives, uncovering blind spots, and discovering new opportunities
  • Master Prompt Engineering: To teach participants the art of prompt engineering and how to check against GenAI’s hallucinations to ensure accurate and reliable analysis
  • Real-world Application: To expose participants to real-world case studies of successful AI-driven investment strategies, enabling them to apply what they’ve learned in practical scenarios
  • Stay Ahead in the Financial Landscape: To help participants stay ahead in the rapidly evolving financial landscape by leveraging the latest AI tools and techniques in investment analysis

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+

$719.40

(After SSG Funding 70%)

$279.40

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

$719.40

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$279.40

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

$279.40

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

$279.40

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

International Participant

$2,398

(No Funding)

$2,398

(No Funding)

$2,398

(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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Trainers

Michael Cheah
Academic Director
Fordham University, Gabelli School of Business
Michael Cheah
Academic Director
Fordham University, Gabelli School of Business

Michael, Academic Director at Fordham University's Gabelli School of Business, oversees the MS Global Finance programme. He earned the 2017 Stanley Fuchs Award and the Gladys and Henry Crown Award for Faculty Excellence. With 30+ years in finance, he held leadership roles at Capital Position and AIG SunAmerica. He served 17 years at the Monetary Authority of Singapore, leading the U.S. Bond Division. Michael teaches Global Financial Markets at Peking University and previously taught at New York University, where he was a senior adviser until 2016.

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