Advanced AI in Finance
The objective of this course is to learn the theory and practice of AI from the point of view of a Finance practitioner. We will begin by understanding Algorithms and their importance in the context of scarce computational resources. Next, we will cover advances in Deep Learning and Neural Networks. We will study Transformer Architecture and its application to LLMs. We will learn to deploy AI models in the Cloud. We will understand the limitations and nuances of AI, especially in social context. Once we have learned the fundamentals of AI, we will apply our knowledge to solve Finance problems. We will develop a Finance Chat-bot and apply ML to rate bonds. Finally, we will hear from researchers working at the frontier of AI in Magnificent-seven Tech companies, as well as from traditional Finance practitioners from Wall Street. These guest lectures will help us understand, among other things, how AI is changing the expectations in working for Silicon Valley and Wall Street.
Prerequisites & course information
Credit 1.5 units. Typical periods offered: Fall
Sources
- Course catalogue โ2026โ2027