Generative AI is changing how risk assessment is performed, making it easier to evaluate uncertainty, analyze large data sets, and simulate future outcomes across a range of business risks. This course introduces how finance and risk professionals can use generative AI to improve risk analysis, strengthen decision-making, and make advanced risk management techniques more accessible. The course begins with the foundations of risk assessment, including financial, operational, reputational, and compliance risk. It then explores how artificial intelligence is already being used in areas such as credit risk, market risk, fraud detection, and operational risk management, before focusing on how generative AI expands those capabilities through natural language interaction and scenario generation. You’ll learn how generative AI can support risk assessment by analyzing broad data sets, identifying patterns, generating synthetic scenarios, and helping model risks such as default probability, market volatility, and business disruption. The course also explains how generative AI differs from traditional machine learning and deep learning, and why that distinction matters for finance professionals applying these tools in practice. The lessons combine conceptual foundations with practical examples, showing how AI can be used to automate parts of the risk assessment process, produce faster insights, and support more scalable analysis. Real-world use cases illustrate how financial institutions and businesses are applying AI to make risk management more predictive, responsive, and efficient. As business environments become more complex, traditional risk assessment methods can struggle to keep pace. Understanding how generative AI fits into modern risk management is increasingly important for professionals who want to improve analytical depth, react faster to emerging risks, and build more resilient decision-making processes. Relevant for: Finance professionals, risk managers, credit analysts, business analysts, and anyone looking to understand how generative AI can be applied to credit risk, market risk, operational risk, and broader business risk assessment. Subscribe for more practical insights on AI in finance, risk management, and career-ready finance skills.

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