The course-level learning outcomes are to ensure that participants are able to recall fundamental concepts of AI, including machine learning, neural networks, deep learning, and generative AI.Participants will gain the ability to describe key applications in finance, including examples from banking, investment, and wealth management. They will be able to identify AI-enabled business opportunities within the financial sector and analyse the operational impact of AI-driven solutions on efficiency and decision-making in financial institutions. They will also be able to evaluate the potential risks and benefits of applying AI in a financial environment, considering ethical and operational factors. They will be able to formulate a strategy for AI implementation within the organisation.

The certificate has three components. During the first component, which is taught in three days in person on Frankfurt School’s state of the art campus, participants will learn about the foundations of AI via a blend of face to face lectures by leading experts in the field, mixed assessments, guided practical exercises which provide an immersive experience. The second component is a set of practitioner seminars to provide participants a breadth of perspectives. These will be held remotely on a weekly basis. The last component is again three days on campus where participants will be able to apply their foundational knowledge to real world finance applications. This component also consists of face to face lectures, mixed assessments, but will also use several case studies. Group presentations provide participants the opportunity to solidify their understanding in an interactive and engaging way.