AI-powered scenario analysis is transforming how finance teams evaluate uncertainty, assess risk, and make strategic decisions. This course introduces how generative AI can enhance scenario analysis in corporate finance, helping professionals model outcomes faster, test assumptions, and generate deeper insights. The course begins with the fundamentals of scenario analysis, including key variables, assumptions, modeling techniques, and interpretation of results. It then explores how AI improves this process by increasing speed, consistency, and analytical depth across financial planning workflows. You’ll learn how to use AI tools like ChatGPT to support scenario modeling, define inputs, build assumptions, and analyze financial outcomes across multiple scenarios. The course connects these tools directly to real finance use cases, including budgeting, forecasting, and risk assessment. The lessons walk through hands-on exercises and a practical case study, where you’ll apply scenario analysis step by step. You’ll explore how different assumptions impact financial performance, how to interpret results, and how scenario analysis supports better decision-making under uncertainty. You’ll also see how scenario analysis is used across industries, from managing fuel cost volatility in airlines to supply chain disruptions in retail, drug development in pharmaceuticals, capital planning in energy, and credit risk in financial services. The course highlights the growing importance of AI in finance and explains how analysts can stay current with emerging tools while applying them responsibly. The focus is on practical application, helping you build repeatable workflows that improve financial insight and strategic planning. Relevant for: Financial analysts, FP&A professionals, corporate finance teams, and decision-makers looking to improve forecasting, risk analysis, and strategic planning using AI-powered tools. Subscribe for more practical insights on AI in finance, scenario analysis, and career-ready finance skills.

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