Generative Artificial Intelligence (AI) for Financial Analysis and Credit Risk Management
Training Provider: Republic Polytechnic
Course Reference: TGS-2025052914
S$270
Original: S$900
Save S$630
About This Course
This 2-day intensive course is designed to provide participants with a comprehensive understanding of how generative Artificial intelligence (AI) can be applied in financial analysis and credit risk management. Through a combination of lectures, hands-on exercises, and real-world case studies, participants will gain practical experience in using large language models (LLMs) to generate and execute code for various financial applications. By the end of the course, participants will be equipped with the skills to leverage generative AI for enhanced financial decision-making.
What You'll Learn
By the end of the course, participants should be able to:
- Understand Generative Artitificial Intelligence (AI): Grasp foundational concepts of generative AI and its applications in automating financial tasks using Large Language Models (LLMs).
- Utilize LLMs for Financial Analysis: Generate Python code with LLMs to analyze financial data, calculate metrics, and derive insights.
- Develop and Fine-tune Models: Hands-on experience in building and refining models with Scikit-learn, focusing on linear regression for financial predictions.
- Apply AI in Credit Risk: Use generative AI for credit scoring and rating prediction with real-world credit data.
- Forecast Financial Metrics: Practice forecasting metrics like interest and exchange rates using AI models and assess accuracy.
- Analyse Financial Case Studies: Apply generative AI to real-world financial cases to extract actionable insights.
- Communicate AI Solutions: Effectively communicate AI solutions' value, limitations, and ethics, and create assessment templates.
- Understand Generative Artitificial Intelligence (AI): Grasp foundational concepts of generative AI and its applications in automating financial tasks using Large Language Models (LLMs).
- Utilize LLMs for Financial Analysis: Generate Python code with LLMs to analyze financial data, calculate metrics, and derive insights.
- Develop and Fine-tune Models: Hands-on experience in building and refining models with Scikit-learn, focusing on linear regression for financial predictions.
- Apply AI in Credit Risk: Use generative AI for credit scoring and rating prediction with real-world credit data.
- Forecast Financial Metrics: Practice forecasting metrics like interest and exchange rates using AI models and assess accuracy.
- Analyse Financial Case Studies: Apply generative AI to real-world financial cases to extract actionable insights.
- Communicate AI Solutions: Effectively communicate AI solutions' value, limitations, and ethics, and create assessment templates.
Entry Requirements
Proficiency in English
Course Details
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