Generative AI is evolving rapidly — and so is our curriculum.
The Generative AI in Finance course has been revamped to reflect the latest developments in AI and their growing impact on the financial industry.
The refreshed curriculum takes participants from AI and machine learning foundations to Generative AI and Large Language Models, before exploring their applications across financial services. It also addresses the realities of AI adoption — including implementation challenges, emerging risks, AI governance, Agentic AI and Responsible AI.
Participants will develop a well-rounded understanding of how AI works, where it can create value in finance, its limitations and risks, and how it can be adopted responsibly within financial institutions.
Who is this program for?
Designed for finance professionals, business leaders and individuals looking to stay ahead of the rapidly evolving AI landscape, this programme is ideal for financial analysts, executives, traders, portfolio managers, quantitative analysts, risk and compliance professionals, as well as anyone keen to understand how Generative AI is transforming financial services—from real-world applications and emerging technologies to responsible adoption and governance.
Program Highlights
Newly Revamped Curriculum
Stay current with an updated curriculum reflecting the latest developments and evolving applications of Generative AI in financial services.
Real-World Finance Applications
Explore applications across credit and risk, investment research, customer servicing, financial crime, robo-advice and algorithmic execution.
AI to Agentic AI
Build a connected understanding of AI and machine learning through to LLMs, RAG, tool use and emerging agentic AI systems.
Beyond the GenAI Hype
Develop a balanced perspective on what Generative AI can do, where its limitations lie, and when assistive, augmented or autonomous use is appropriate
Inside the Financial Industry
Discover how financial institutions are adopting AI, where value is being realised, and what separates successful implementations from unsuccessful pilots.
Responsible AI in Practice
Explore AI governance, emerging risks, MAS FEAT principles, Veritas methodology and evolving expectations for responsible AI adoption.
Program Director
Institute Advisor, AIDF
Prof. Tek Yew Chia is a leading voice in financial services and digital innovation, with over 30 years of experience spanning strategy, technology, and regulation across Asia and the Middle East. He is Adjunct Professor and Advisor at the NUS Asian Institute of Digital Finance, and formerly Vice Chairman of Oliver Wyman Singapore and Head of Financial Services Advisory in KPMG Singapore.
Prof. Chia is concurrently a Senior Advisor in Boston Consulting Group (BCG) and also serves as an advisor to the ASEAN Bankers Association (ABA) and the Global Finance and Technology Network (GFTN – a spin-off from the Monetary Authority of Singapore). A sought-after speaker, he brings sharp insights on the future of finance at the intersection of policy, technology, and business.
