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Course Outline
AI Fundamentals for Finance Professionals
- Defining AI and machine learning within the financial context
- Overview of AI model types: classification, regression, and generative models
- Responsible AI practices: ensuring accuracy, transparency, and ethical usage in reporting
Automation of Financial Data Processing
- Employing AI tools for data ingestion and extraction from PDFs and spreadsheets
- Refining and transforming data for robust analysis
- Using OCR, NLP, and LLMs to process unstructured financial texts
AI-Powered Financial Statement Analysis
- Automating ratio analysis and industry benchmarking
- Detecting trends and analyzing variances through machine learning
- Presenting insights via AI-driven dashboards
Generative AI for Narrative Reporting
- Drafting executive summaries and variance explanations using LLMs
- Developing Management Discussion & Analysis (MD&A) with AI assistance
- Prompt engineering techniques for financial storytelling and accuracy management
AI-Enhanced Scenario Planning and Forecasting
- Foundations of scenario modeling and simulation using ML
- Constructing dynamic models for revenue, expense, and cash flow projections
- Conducting stress tests on financials based on macroeconomic conditions
Integrating AI into FP&A Workflows
- Enhancing spreadsheet processes with Python or AI plugins
- Utilizing collaborative tools and automation for monthly and quarterly closes
- Embedding AI capabilities into Excel, Power BI, or cloud-based FP&A platforms
Audit, Governance, and Internal Controls
- AI explainability and preparation for internal audits
- Documenting assumptions and AI outputs to meet compliance requirements
- Establishing controls for AI-assisted processes within financial reporting
Summary and Future Directions
Requirements
- Working knowledge of core financial statements and key metrics
- Practical experience with spreadsheets or fundamental data management tools
- Basic familiarity with Python or an openness to utilizing AI-enhanced interfaces
Target Audience
- Corporate finance analysts
- FP&A teams
- Controllers
14 Hours
Testimonials (1)
The background / theory of LLMs, the exercise
