Generative AI for Finance and Fintech
About This Course
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 i
What You'll Learn
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.
Topics Covered:
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
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• 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: 21 to 65 years old