This 4-hour course is targeted at wealth professionals (e.g. RM/ARM) in private banking or wealth management who provide investment advisory and wealth planning to customers. It provides a comprehensive understanding of artificial intelligence, machine learning models, key terminologies and the applications of generative AI and machine learning. It will delve into how generative AI can be applied in private banking or wealth management as an enabler and copilot to wealth professionals. The course will look at the associated impact, risks and the benefits gained from artificial intelligence and machine learning. Participants will get to understand the application of machine learning and generative AI in financial crime and fraud detection. The course will also highlight the impact of AI technology which brings about social concerns on the responsible use of AI. The course will delve into understanding the AI regulatory framework like MAS FEAT principles, Mindforge frameworks and guidelines and other associated global AI regulation.

By the end of this training module, participants will gain a better understanding of the principle and concept of generative AI and its difference with traditional machine learning as well as the synergistic relationship between data and generative AI. Participants will be equipped to understand the risk and opportunity of AI and machine learning so as to harness AI's potential responsibly to enhance customer experience and satisfaction in tandem with driving business growth. Participants will be able to embrace the future of finance with confidence and ethics.

• Assistant Relationship Manager / Relationship Manager / Team Lead / Investment Counsellor Assistant / Investment Counsellor / Counsellor Team Leader in Private Banks

Prerequisites: Min. 3 years of relevant working experience in private banking

Equip participants to understand the application of new technologies to business - Artificial Intelligence, machine learning and generative AI.

1. Understand key terminologies in AI, machine learning and generative AI.
2. Understand the capabilities of generative AI and its application.
3. Understand responsible AI framework and regulations.
4. Understand the principle and concept of generative AI.

Module 1: Understand key terminologies in AI, machine learning and generative AI.

• Definition of artificial intelligence and machine learning
• History of artificial intelligence
• Trend of artificial intelligence
• Classification of artificial intelligence

Module 2: Understand the capabilities of generative AI and its application.

• Generative AI as enabler and co-pilot for wealth professionals
• Application of machine learning and Gen AI in Financial crime and fraud detection

Module 3: Understand responsible AI framework and regulations

• MAS Fairness, Ethics, Accountability and Transparency (FEAT) principles
• MindForge framework and guidelines

Module 4: Understand the principle and concept of generative AI

• Differences between Generative AI and traditional machine learning
• Synergistic relationship between data and generative AI
• Risks and opportunities of AI and machine learning in Finance

Assessment – MCQ