Course Details
Topic 1: Introduction to Generative AI and Its Foundations in Finance
- Basics of AI and Machine Learning
- Introduction to Generative AI (GAI)
- AI and GAI use cases in finance
Topic 2: Core Generative AI Models and Technologies
- Large Language Models (LLM) and Transformer model
- Text-to-Image and Diffusion model
- Text-to-Speech (TTS) and Speech-to-Text technologies
- Retrieval Augmented Generation (RAG)
- Autonomous AI agents and bots
Topic 3: Practical Applications and Case Studies
- Risk management and fraud detection
- Customer service agent and chatbot
- Generating synthetic financial data
- Algorithmic trading
- Robo-advisors
Topic 4: Ethical, Legal, and Regulatory Considerations
- AI Ethics and Governance in Finance
- Deepfakes and voice cloning
- Data Privacy and Security
- Regulatory Compliance and Governance
Topic 5: Future Trends and Innovations in Generative AI for Finance
- Latest Developments and Research in Generative AI
- Emerging Applications and Strategic Implications
- Preparing for the Future of Finance with AI
Final Assessment
- Written Assessment - Short Answer Questions (WA-SAQ)
- Practical Performance (PP)
Course Info
Promotion Code
Promo or discount cannot be applied to WSQ courses
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Minimum Software/Hardware Requirement
Softtware: Windows / Mac
Hardware: Laptop
About Progressive Wage Model (PWM)
The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.
Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.
For more information on PWM, please visit MOM site.
Funding Eligility Criteria
Individual Sponsored Trainee | Employer Sponsored Trainee |
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SkillsFuture Credit:
PSEA:
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Absentee Payroll (AP) Funding:
SFEC:
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Steps to Apply Skills Future Claim
- The staff will send you an invoice with the fee breakdown.
- Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
- Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
- Upload your invoice and click ‘Submit’
SkillsFuture Level-Up Program
The SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme
Get Additional Course Fee Support Up to $500 under UTAP
The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).
For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)
Steps to Apply UTAP
- Log in to your U Portal account to submit your UTAP application upon completion of the course.
Note
- SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
- All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
- An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
- UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
- UTAP support amount will be paid to training provider first and claimed after end of class by learner.
Job Roles
- AI Financial Analyst
- Generative AI Fintech Developer
- AI-Driven Risk Management Specialist
- GAI-Enhanced Fraud Detection Analyst
- Financial Data Scientist using AI
- AI-Integrated Wealth Management Advisor
- AI-Powered Regulatory Compliance Officer
- Fintech Innovation Strategist with AI
- AI-Driven Investment Portfolio Manager
- GAI Solutions Architect for Finance
- AI-Enhanced Credit Analyst
- Financial Technology Product Manager with AI
- AI-Driven Financial Planning Consultant
- GAI-Based Financial Market Researcher
- AI-Enhanced Banking Operations Manager
- Fintech Customer Experience Designer with AI
- AI-Driven Financial Reporting Specialist
- GAI Implementation Consultant in Finance
- AI-Enhanced Insurance Underwriter
- GAI-Powered Blockchain Specialist
Trainers
James Lee Kin Nam: James Lee Kin Nam is a ACTA certified trainer. James has more than 20 years of progressive training experience in both corporate enterprises and educational institutes. He is certified by Adobe as an Adobe Certified Expert, Instructor and Web Specialist. He holds an Advanced Certificate in Learning and Performance (ACLP Certified Trainer / Assessor) in adult training. He is also an MOE Registered Instructor. Graduated in the area of Computer Studies and Multimedia Development, he specializes in graphics, animation and web technologies.
He was a former Adjunct Lecturer for Singapore Polytechnic, Web Developer for Nanyang Technological University (NTU) and Social Media & Content Specialist for Equinet Academy. He is currently an External Consultant & Training Associate at Boston Consulting Group. He has guided many users in the usage of Adobe applications and website development to achieve greater heights in their career advancement. With his knowledge and experiences, James has the ability to explain and simplify complex concepts. He will be able to make positive contributions to your learning journey.
Allen Wong: Allen Wong is a ACTA certified trainer. He is also a seasoned digital marketing strategist, He brings over eight years of experience across diverse industries - e-commerce, events, FMCG, real estate, and finance. 300% career-wide ROAS, peaking at 1000% in events, he has generated $2M in e-commerce revenue and over $5M in sales. An AI enthusiast and industry pioneer, Allen's innovative approach to data-driven marketing drives high-impact, cost-effective results.
Malcolm Soo: Malcolm Soo is a ACTA certified trainer. He is a chartered Accountant. Have more than 20 years Accounting/Tax Experience. Currently, a freelance accountant and trainer for the following: LCCI 1 & 2, Accounting for Non-Financial Professional and QuickBook.