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Enhance Your Employability with Certified Skills and Courses in Singapore - WSQ , IBF-STS, Skills Certification

Generative AI for Finance and Fintech

This course is not yet approved for WSQ funding

Dive into the dynamic world of Generative AI (GAI) with our comprehensive course tailored for the finance and fintech sector. This course begins with a solid foundation in the basics of AI and Machine Learning, focusing on the pivotal role of Generative AI. Participants will explore essential GAI concepts and how they're applied in finance, including use cases that demonstrate its transformative potential in operations, risk management, and customer service. Through a blend of theoretical knowledge and practical insights, learners will be equipped to support and champion innovation within their organizations.

Building on these foundations, the course delves into core GAI models and technologies, practical applications, and the crucial aspects of AI ethics, governance, and regulatory compliance. Participants will be engaged in evaluating and implementing GAI technologies, understanding ethical considerations, and strategizing for future trends and innovations. By reviewing real-world case studies, including risk management, fraud detection, and algorithmic trading, learners will gain a holistic view of how GAI can drive efficiency, innovation, and strategic advantage in the finance industry.

Learning Outcomes

By end of the course, learners should be able to:

  • LO1: Support Artificial Intelligence (AI) and Generative AI innovations to champion organisation-wide innovation.
  • LO2: Evaluate and implement GAI technologies for the organisation.
  • LO3: Review and adopt new GAI technologies by reviewing use cases in finance operations.
  • LO4: Review AI ethics and governance in organization’s processes for proactive risk monitoring and safety.
  • LO5: Review emerging trends in GAI and strategize cost control measures to support innovation initiatives.

Course Brochure

TBD

Skills Framework

This course follows the guideline of Digital Technology Adoption and Innovation ACC-ICT-5004-1.1  under Accounting Skills Framework

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course

Course Code: TPG-2024063641

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$2,000.00 (GST-exclusive)
$2,180.00 (GST-inclusive)

Course Date

Course Time

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Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


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

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
  • Singapore Citizens or Singapore Permanent Residents aged 21 and above
  • From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.​
  • Trainee must pass all prescribed tests / assessments and attain 100% competency.
  • We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.
  • Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
  • From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.​
  • Trainee must pass all prescribed tests / assessments and attain 100% competency.
  • We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

 SkillsFuture Credit: 

  • Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

 PSEA:

  • To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
  • Scroll down to "Keyword Tags" to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.  
  • And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA. 
  • Not all courses are eligible for PSEA funding.

 Absentee Payroll (AP) Funding: 

  • $4.50 per hour, capped at $100,000 per enterprise per calendar year.
  • AP funding will be computed based on the actual number of training hours attended by the trainee.

 SFEC:

  • If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SSG would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
  • Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
  • SkillsFuture Enterprise Credit (SFEC) Microsite 

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.

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