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Course Outline
AI Fundamentals for Finance Professionals
- Understanding AI and machine learning within the financial sector
- Overview of AI model types: classification, regression, and generative models
- Responsible AI practices: ensuring accuracy, transparency, and ethical application in reporting
Automation of Financial Data Processes
- Leveraging AI tools for data ingestion and extraction from PDFs and spreadsheets
- Refining and transforming data for deeper analysis
- Utilizing OCR, NLP, and LLMs to decipher unstructured financial texts
AI-Powered Financial Statement Analysis
- Automating ratio analysis and industry benchmarking
- Identifying trends and analyzing variances through machine learning
- Presenting insights via AI-driven dashboards
Generative AI for Narrative Reporting
- Drafting executive summaries and variance commentary using LLMs
- Enhancing Management Discussion & Analysis (MD&A) with AI assistance
- Mastering prompt engineering for financial storytelling and accuracy control
Scenario Planning and Forecasting with AI
- Introductory concepts of scenario modeling and simulation using ML
- Developing dynamic models for forecasting revenue, expenses, and cash flow
- Conducting stress tests on financials based on macroeconomic assumptions
Embedding AI into Current FP&A Workflows
- Enhancing spreadsheet workflows with Python or AI plugins
- Implementing collaborative tools and automation for monthly/quarterly closes
- Integrating AI into Excel, Power BI, or cloud-based FP&A platforms
Audit, Governance, and Internal Controls
- Ensuring AI explainability and readiness for internal audits
- Documenting assumptions and AI outputs for compliance purposes
- Establishing controls for AI-assisted processes in financial reporting
Recap and Future Actions
Requirements
- Working knowledge of core financial statements and key metrics.
- Proficiency with spreadsheets or basic data management tools.
- Prior experience with Python or a readiness to utilize AI-enhanced user interfaces.
Target Audience
- Corporate finance analysts
- FP&A teams
- Controllers
14 Hours
Testimonials (1)
The background / theory of LLMs, the exercise
