ALLCS

AI for Finance

This track is designed for financial analysts, FP&A professionals, CFOs, investment analysts, corporate development professionals, and risk managers. Participants learn to apply AI across corporate finance and investment analysis: financial modeling, valuation, due diligence, risk assessment, credit analysis, regulatory compliance, and investment research. The emphasis is on using AI to accelerate analysis while maintaining the rigor and accuracy that financial decision-making demands.

Track-Level Learning Outcomes

  1. Build and validate AI-assisted financial models including 3-statement models, DCF valuations, and scenario analyses.
  2. Use AI to accelerate due diligence processes: financial analysis, market research, risk identification, and report generation.
  3. Apply AI to credit analysis and lending decision frameworks including financial ratio analysis, cash flow assessment, and risk scoring.
  4. Design AI-powered risk assessment and monitoring workflows for portfolio and enterprise risk management.
  5. Generate investment research reports using AI with proper sourcing, analysis framework, and professional presentation.
  6. Evaluate AI outputs in financial contexts with appropriate skepticism, understanding model limitations and the irreplaceable role of professional judgment.