Who is this course for?
Working professionals with roles in finance like financial analysts, executives, traders, portfolio managers or quantitative analysts.
Individuals interested in learning the application of generative AI techniques and technologies in the finance industry.
Course Highlights
Course Details
Understand the fundamentals of AI, including machine learning, deep learning, natural language processing, and computer vision.
Learn about the benefits and challenges of using Generative AI in finance, including fraud detection, risk management, and investment analysis.
Explore how Generative AI is transforming the finance industry, including the rise of robo-advisors, chatbots, and other AI-powered tools.
Examine key trends and developments in Generative AI and financial applications, including big data, centralised and decentralised storage, and the Internet of Things.
Discuss the challenges and future directions of Generative AI in finance, including the impact of new advancements in the field and potential risks associated with its widespread adoption.
Find out more on ethical and regulatory issues related to Generative AI in finance, including bias, privacy, and security as well as compliance, ethics, and governance.
Course Fees
Course Fees: SGD 1722.20
SkillsFuture Code: TGS-2024048817
NOTE: SSG Funding for this course is currently not available. For more information, click on Request Info.
Course Outline
Course Instructors
Dr Ke-Wei Huang
Executive Director, Asian Institute of Digital Finance
Dr. Ke-Wei Huang is the Executive Director of the Asian Institute of Digital Finance and an Associate Professor at the National University of Singapore. His research focuses on the intersection of artificial intelligence, data mining, and finance, with a particular emphasis on Machine Learning and Causal Inference, Applied data mining in finance. Dr. Huang holds a Ph.D. in Information Systems from NYU’s Stern School of Business and has published extensively in leading journals. As an instructor for "Generative AI in Finance," he brings deep expertise in leveraging AI to transform financial decision-making and innovation.
Dr Yen Teik LEE
NUS Business School
Dr. Lee Yen Teik is a Senior Lecturer at NUS Business School, specializing in corporate and digital finance with a focus on financial technology and innovation. Before joining NUS, Yen Teik was an Assistant Professor of Finance at the Asia School of Business and Shanghai University of Finance and Economics (SUFE), a Senior Lecturer at Curtin Singapore, and a visiting scholar at both New York University Stern School of Business and Cambridge Judge Business School. Yen Teik received his PhD in Business (Finance) from Singapore Management University. In the "Generative AI in Finance" course, Dr. Lee draws on his expertise to guide students in understanding and applying AI technologies to solve complex challenges in the financial industry
Dr David Lee
Professor, Finance Programme, Singapore University of Social Sciences (SUSS)
Prof. David Lee is a Professor of Fintech and Blockchain at the Singapore University of Social Sciences (SUSS), a Distinguished Professor at Shanghai University of Finance and Economics, an Adjunct Professor at the National University of Singapore (NUS), a founding Council Member of the British Blockchain Association, and Editor-in-Chief or Deputy Editor-in-Chief of the Journal of Fintech and Annual Review of Fintech. Dr. Lee is recognized for his work in Web3 ecosystems and AI-driven innovation, with extensive experience advising global institutions like the Asian Development Bank on digital currencies and advanced financial technologies. His expertise in emerging financial technologies and AI applications makes him an ideal lecturer for "Generative AI in Finance," offering students conceptual and practical insights.
Dr Li Xuchun
Head of AI Development Office (FinTech & Innovation Group) at Monetary Authority of Singapore (MAS)
Dr. Li is an expert in Promotion and Implementation of AI in Finance, Framework Development for Financial Ethics, Accountability, and Transparency (FEAT), and Advocacy for Responsible AI. Dr Li is heading the AI Development Office from the FinTech & Innovation Group in MAS. The mandate of the AI Development Office focuses on promoting the usage of Artificial Intelligence in the Singapore financial sector. It will develop and implement the AI strategy for Singapore financial industry, facilitate industry-wide AI projects within and beyond the financial sector as well as embark on initiatives to develop a sustainable ecosystem that supports the experimentation and deployment of AI-based technologies in the financial sector. Dr Li’s major expertise covers areas such as machine learning, big data analysis, cloud computing, text mining etc. Before joining MAS, he was a scientist at VISA and UBS. He holds a PhD in machine learning.
Dr. Andreas Deppeler is an expert in Ethics, Risk Management, and Governance of Artificial Intelligence, Digital Strategy Advisory and Emerging Technologies and Business Strategy. His research focuses on artificial intelligence at the intersection of computer science, philosophy and organizational psychology. In his previous roles, he has advised clients on how to use data and analytics to generate business insights, strengthen controls and improve operational performance. He has a Ph.D. in Theoretical Physics and has held senior positions at prominent organizations in the finance industry.
