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Duration 14 hours
Course Outline
Foundations of Generative AI
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Generative Adversarial Networks (GANs) in Financial Applications
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Large Language Models (LLMs) & Prompt Engineering
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Advanced Financial Forecasting via Generative AI
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Identifying Fraud & Anomalies
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Ethical & Regulatory Considerations
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Strategic Implementation for Financial Institutions
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Recap & Future Directions
Requirements
- A solid grasp of fundamental finance and risk management principles
- Practical experience with spreadsheets or entry-level data analysis
- Basic knowledge of Python is advantageous, though 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
