This eCourse consists of two modules on AI application. Artificial intelligence (AI) is transforming trading in financial markets. Module 1 explores how different types of AI – from “traditional” machine learning (ML) to newer models including generative AI – are being deployed by both buy-side and sell-side institutions, across the full spectrum of asset classes and trading strategies. It also looks at regulatory and ethical challenges associated with AI in financial markets.

Module 2 provides an overview of the various products that banks, and some nonbanks, provide to corporate banking customers. Coverage includes an explanation of the factors that differentiate the various products in terms of how they meet customers’ banking needs, how they generate revenue, and how they create risk. Based on these characteristics, products fit into a number of different product categories, such as short- and longer-term finance, details of which are explained.

On completion of this course, you will be able to:
- Recognize the evolution of AI in financial trading
- List different types of machine learning (ML) and generative AI applications
- Identify key AI applications on the sell side of the financial industry
- Identify key AI applications on the buy side of the industry
- List AI use cases across asset classes
- Identify ethical and regulatory challenges associated with AI in trading
- Identify the characteristics that help determine the different corporate banking product categories
- Recognize the key features of funded credit products and how they differ from unfunded products
- Identify the range of noncredit products offered by corporate banking businesses

Module 1 - AI Applications - Trading
Topic 1: AI & Financial Markets
Topic 2: AI on the Sell Side
Topic 3: AI on the Buy Side
Topic 4: AI Across Asset Classes
Topic 5: AI Ethics & Regulation
Topic 6: Emerging & Future Applications

Module 2 - AI Applications - Derivatives Pricing
Topic 1: AI & Financial Markets
Topic 2: AI & Derivative Pricing