AI for Finance

The target group comprises, firstly, division managers, business managers, interested specialists and managers in the financial industry (banks, insurance companies and IT service providers).
For example, Division Manager, Head of Division, Regional Manager, Business Unit Manager, Business Manager, Financial Manager, Portfolio Manager, Investment Manager, Financial Analyst, Risk Analyst, Business Analyst, Compliance Officer
Secondly, the target audience is comprised of individuals responsible for strategic planning, technological implementation, driving innovation, and enhancing customer experience within the banking sector.
For example, Chief Digital Officer (CDO), Head of Digital Strategy, Chief Information Officer (CIO), Head of Innovation, Digital Transformation Manager, IT Transformation Manager, Cloud Architect, Data Scientist, Digital Product Manager, Customer Experience Manager (Digital), Business Analyst (Digital Transformation), Digital Innovation Specialist

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.

This executive-level course offers a comprehensive introduction to the fundamentals of Artificial Intelligence (AI), including machine learning, neural networks, deep learning, and generative AI — all within the context of the financial services industry.
Participants will explore real-world applications of AI across banking, investment, and wealth management, gaining insight into how leading institutions are leveraging intelligent systems to drive innovation and competitive advantage.
The course enables financial leaders to identify AI-powered business opportunities and assess their operational impact — particularly in terms of efficiency, risk management, and data-driven decision-making. Critical discussions will address the ethical, regulatory, and strategic considerations of AI adoption in finance.
By the end of the course, participants will be equipped to develop a clear, actionable roadmap for integrating AI into their organisation's strategy and operations.