Goals
Upon completion of the Artificial Intelligence Applied to Finance Course, participants will be able to:
- Understand the fundamentals of Artificial Intelligence applied to finance, gaining a solid understanding of machine learning models, predictive analytics and natural language processing relevant to Corporate Finance and Investments.
- Apply AI to financial modelling by developing valuation models such as DCF, comparables and LBOs to automate processes and significantly reduce analysis times.
- Master AI-enhanced cash flow valuation using machine learning techniques to project cash flows, estimate dynamic discount rates and conduct automated sensitivity analyses.
- Develop AI-driven scenario simulation models incorporating base, optimistic, pessimistic and stress scenarios through predictive analytics and Monte Carlo simulations.
- Assess the potential of AI in corporate risk management, applying techniques such as credit scoring, anomaly detection, stress testing and macroeconomic scenario simulation.
- Enhance M&A and due diligence processes through AI-powered target screening, automated document analysis and synergy assessment.
- Design AI-powered investment and trading strategies by integrating predictive market models, algorithmic trading, portfolio optimisation and financial sentiment analysis.
- Apply the knowledge acquired in a practical environment by developing a comprehensive project involving corporate valuation, forecast scenarios and investment strategy design using AI tools.