Introduction
This course focuses on how financial professionals can leverage AI to analyze markets, optimize portfolios, forecast trends, and manage risks. Participants will explore the tools powering predictive finance and automated analysis. Emphasis is placed on augmenting human expertise with AI insights while maintaining transparency and control. By the end, learners will be able to integrate AI into core financial decision workflows.
Course Objectives
- Apply AI in financial modeling
- Use predictive analytics for forecasting
- Understand AI-driven risk assessment
- Automate financial reporting and analysis
- Integrate AI into portfolio and treasury management
Target Audience
- CFOs and finance directors
- Financial analysts
- Risk managers
- Corporate treasurers
- Finance-focused students
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Day 1: AI in Corporate Finance• Financial data ecosystems
• AI applications across functions
• Decision support tools
• Governance principles
• Case studies0 - Day 2: Predictive Finance Analytics• Time-series forecasting
• Revenue, demand, and cash-flow models
• Scenario simulation
• KPI forecasting
• Hands-on: Forecast a financial metric0 - Day 3: AI in Risk & Compliance• Credit risk scoring
• Fraud detection
• Anomaly detection
• Compliance automation
• Hands-on: Risk modeling exercise0 - Day 4: Portfolio & Investment Optimization• ML in asset allocation
• Automated portfolio rebalancing
• Alternative data insights
• Stress testing
• Hands-on: Portfolio optimization0 - Day 5: Automating Finance Processes• AI in financial reporting
• Close and consolidation automation
• Intelligent expense management
• Audit automation
• Capstone finance AI plan0
Instructor
Lessons:
