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Course Outline
Introduction to ChatGPT
- What is ChatGPT? Core features and capabilities
- Overview of conversational AI in credit risk
- Configuring ChatGPT for risk management projects
Portfolio Analysis with ChatGPT
- Analyzing loan portfolios through natural language queries
- Producing portfolio summaries and key insights
- Case studies: Applying ChatGPT to portfolio risk assessment
Implementing Data Projects with ChatGPT
- Simplifying data preparation and cleaning with ChatGPT
- Utilizing 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 with ChatGPT
- Automating report generation and presentation creation
- Developing predictive models with ChatGPT integration
Enhancing Decision-Making in Credit Risk
- Using ChatGPT for scenario analysis and stress testing
- Building decision support tools with ChatGPT
- Optimizing risk strategies through AI-driven recommendations
Best Practices and Ethical Considerations
- Ensuring data privacy and compliance when using ChatGPT
- Addressing biases in AI-driven analytics
- Responsibly integrating ChatGPT into risk management workflows
Hands-on Exercises
- Querying ChatGPT for portfolio insights
- Generating an automated risk report
- Building a prototype AI-driven risk management tool
Future Opportunities
- Advanced applications of ChatGPT in microfinance
- Emerging AI trends in credit risk and analytics
- Pathways for further learning and specialization
Summary and Next Steps
Requirements
- Fundamental knowledge of credit risk principles
- Prior experience in data analysis or analytics projects
- No previous exposure to ChatGPT is necessary
Target Audience
- Analytics and data teams within credit risk departments
- Credit risk managers investigating AI-powered solutions
- Professionals managing data and analytics projects in microfinance
14 Hours
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.