Generative AI (GAI) for Finance

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

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

• 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

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.