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Generative AI (GenAI) for Finance

Course Information

  • Sessions 4 days
  • Duration 30 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Generative AI (GenAI) for Finance

Course Code: C057

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What's This Course About

Explore the revolutionary impact of Generative AI in the finance sector with our comprehensive course. Generative AI for Finance offers an in-depth look at how artificial intelligence can transform financial analysis, risk management, and investment strategies. Participants will gain hands-on experience with AI tools and technologies, learning to apply them to real-world financial data for predictive analytics, trend forecasting, and decision-making support.

This course is designed for finance professionals, analysts, and enthusiasts keen on leveraging AI to enhance accuracy and efficiency in financial operations. With a focus on practical applications, it covers essential concepts such as algorithmic trading, AI-driven risk assessment, and machine learning models for financial forecasting. Whether you're looking to optimize investment portfolios, predict market trends, or innovate financial services, our course equips you with the skills to lead in the AI-driven finance landscape.

WSQ Funding

Full Fee $3,600.00 Before GST
GST $324.00 9% of fee
Baseline Nett $2,124.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $1,404.00 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Generative AI for Finance and Fintech

Course Fee

MYR3,600.00

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

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. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

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

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

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.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Financial Analyst
  • Data Scientist in Finance
  • AI Research Analyst
  • Algorithmic Trader
  • Risk Management Specialist
  • Financial Technology Developer
  • Investment Strategy Consultant
  • Machine Learning Engineer for Finance
  • Quantitative Analyst
  • Portfolio Manager
  • Financial Product Manager
  • AI Solutions Architect for Finance
  • Credit Scoring Analyst
  • Blockchain and Crypto Analyst
  • Financial Data Engineer
  • Regulatory Technology Analyst
  • Financial Innovation Manager
  • Business Intelligence Analyst in Finance
  • Wealth Management Advisor
  • Financial Systems Analyst

Trainers

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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