AI Governance in Financial Services

About this course

Artificial Intelligence is rapidly transforming the financial services industry, creating new opportunities for growth, efficiency, customer experience, risk management, and innovation. However, as AI adoption accelerates across banks, fintechs, insurance companies, investment firms, and payment institutions, organizations face increasing challenges related to governance, accountability, transparency, compliance, security, and trust.

This course provides a comprehensive and practical introduction to AI Governance in Financial Services. You will learn how to design and implement effective AI governance frameworks, establish oversight and accountability mechanisms, identify and manage AI-related risks, and align AI initiatives with regulatory and industry expectations. The course explores essential topics including AI risk management, responsible and trustworthy AI, model governance, AI lifecycle controls, governance operating models, audit and assurance practices, and enterprise-wide governance strategies.

You will also gain insights into leading frameworks and standards, including the EU AI Act, DORA, NIST AI Risk Management Framework, and ISO/IEC 42001. Through real-world examples and financial services use cases, you will learn how organizations can govern AI systems while maintaining innovation, resilience, transparency, security, and regulatory compliance.

Whether you are an executive, board member, risk manager, compliance professional, auditor, cybersecurity specialist, consultant, technology leader, or AI practitioner, this course will provide the knowledge, frameworks, and practical guidance needed to build, assess, and manage an effective AI Governance program in today's rapidly evolving financial landscape.

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