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Duration 14 hours (2 days)
Course Outline
Fundamentals of Generative AI
- Overview of generative models and their significance in the financial industry
- Categories of generative models: LLMs, GANs, and VAEs
- Advantages and constraints within financial applications
Applying Generative Adversarial Networks (GANs) to Finance
- Mechanisms of GANs: comparing generators and discriminators
- Uses in synthetic data creation and fraud simulation
- Practical example: creating realistic transaction data for testing purposes
Large Language Models (LLMs) and Prompt Engineering Techniques
- How LLMs process and produce financial text
- Crafting prompts for forecasting and risk assessment
- Practical applications: summarizing financial reports, KYC processes, and identifying red flags
Leveraging Generative AI for Financial Forecasting
- Time series prediction using hybrid LLM and machine learning models
- Generating scenarios and conducting stress tests
- Application example: forecasting revenue by combining structured and unstructured data
Fraud Detection and Identifying Anomalies
- Employing GANs to detect anomalies in transaction streams
- Spotting emerging fraud trends via LLM-based prompt workflows
- Model assessment: distinguishing false positives from genuine risk signals
Regulatory and Ethical Considerations
- Ensuring explainability and transparency in generative AI outputs
- Mitigating risks associated with model hallucinations and bias in finance
- Adhering to regulatory standards (e.g., GDPR, Basel guidelines)
Developing Generative AI Solutions for Financial Institutions
- Constructing business cases for internal implementation
- Striking a balance between innovation and risk/compliance requirements
- Establishing governance frameworks for responsible AI deployment
Wrap-up and Future Directions
Requirements
- A solid grasp of fundamental finance and risk management principles
- Proficiency with spreadsheets or basic data analysis tools
- Knowledge of Python is advantageous but not mandatory
Target Audience
- Risk managers
- Compliance analysts
- Financial auditors
Testimonials (1)
i already have some reports that i know, i will use some of the prompts that looked at today
