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Duration 14 hours
Course Outline
Introduction to ChatGPT
- Defining ChatGPT: Key features and functional capabilities.
- A review of conversational AI roles in the credit risk landscape.
- Configuring ChatGPT for specific risk management initiatives.
Portfolio Analysis with ChatGPT
- Evaluating loan portfolios through natural language queries.
- Generating comprehensive portfolio summaries and actionable insights.
- Reviewing case studies on ChatGPT’s role in portfolio risk assessment.
Implementing Data Projects with ChatGPT
- Optimizing data preparation and cleaning processes with ChatGPT.
- Leveraging ChatGPT for feature engineering and variable selection.
- Practical exercises: Constructing a dataset for credit risk analysis.
Implementing Analytics Projects with ChatGPT
- Conducting exploratory data analysis (EDA) with ChatGPT.
- Automating the creation of reports and presentations.
- Developing predictive models through ChatGPT integration.
Enhancing Decision-Making in Credit Risk
- Applying ChatGPT to scenario analysis and stress testing.
- Creating decision support tools utilizing ChatGPT.
- Refining risk strategies with AI-driven recommendations.
Best Practices and Ethical Considerations
- Maintaining data privacy and compliance standards when using ChatGPT.
- Addressing and managing biases in AI-driven analytics.
- Responsibly integrating ChatGPT into risk management workflows.
Hands-on Exercises
- Utilizing ChatGPT to extract portfolio insights.
- Producing an automated risk report.
- Developing a prototype for an AI-driven risk management tool.
Future Opportunities
- Advanced use cases of ChatGPT in the microfinance industry.
- Emerging AI trends shaping credit risk and analytics.
- Identifying pathways for further professional development and specialization.
Summary and Next Steps
Requirements
- Foundational knowledge of credit risk concepts.
- Prior experience with data analysis or analytics projects.
- No previous hands-on experience with ChatGPT is necessary.
Target Audience
- Analytics and data teams operating within credit risk departments.
- Credit risk managers seeking to explore AI-driven solutions.
- Professionals managing data and analytics projects in the microfinance sector.
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.