[Free] Gen Ai For Financial Risk Management For Enhanced Modeling
Promp Engineering, LLMs, Syntheic Data and Essential Python – Free Course
What you’ll learn
- Gen AI applications in FRM
- Gen AI techniques like BERT and GPTs for LLM
- Prompt Engineering for Financial Risk
- Coding in Python for relevant topics
Requirements
- No Experience Needed
Description
Gen AI for Financial Risk Management for Enhanced Modeling
Course Structure:
Introduction
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Lecture: Intro to the Course – An overview of the course structure, goals, and objectives in leveraging Gen AI for financial risk management.
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Lecture: Introduction to Gen AI – A deep dive into how advanced artificial intelligence is transforming financial risk assessment and decision-making processes.
Large Language Models (LLMs)
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Lecture: Introduction to LLMs – A comprehensive introduction to LLMs, discussing their capabilities in handling complex financial data and natural language processing tasks.
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Lecture: Public LLMs Overview – A detailed examination of popular public LLMs such as BERT, GPT, and RoBERTa, and their real-world applications in finance.
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Lecture: Using GPT and BERT in Finance – Practical use cases for sentiment analysis, financial forecasting, and risk evaluation using state-of-the-art language models.
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Lecture: ChatGPT and Gemini in Finance – Exploring the real-time capabilities of these models to generate insights and support decision-making in financial markets.
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Lecture: Model Differences – A comparative analysis of various LLMs focusing on performance, accuracy, and adaptability to financial use cases.
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Lecture: BERT’s Role in Finance – In-depth exploration of BERT’s applications in document classification, regulatory compliance, and financial reporting.
Synthetic Data Techniques
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Lecture: Generative Models – Understanding how VAEs and GANs create realistic synthetic financial data for model training.
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Lecture: VAEs in Financial Applications – Utilizing VAEs for anomaly detection and predictive analytics in financial institutions.
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Lecture: GANs for Fraud Detection – Harnessing GANs to generate synthetic data that enhances fraud detection and risk management capabilities.
Tools and Libraries for AI Development
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Lecture: Hugging Face Overview – A detailed guide on how Hugging Face’s ecosystem supports financial risk management through model deployment and fine-tuning.
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Lecture: Advanced Hugging Face Applications – Exploring real-time deployment of Hugging Face models to enable continuous monitoring and evaluation of financial risks.
Final Insights
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Lecture: Final Words – Summarizing the key concepts, best practices, and future trends in Gen AI for financial risk management.
