Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to ChatGPT
- What is ChatGPT? Key features and capabilities.
- Overview of conversational AI in credit risk.
- Setting up ChatGPT for risk management projects.
Portfolio Analysis with ChatGPT
- Analyzing loan portfolios with natural language queries.
- Generating portfolio summaries and insights.
- Case studies: ChatGPT in portfolio risk assessment.
Implementing Data Projects with ChatGPT
- Streamlining data preparation and cleaning with ChatGPT.
- Using ChatGPT for feature engineering and variable selection.
- Hands-on exercises: Building a dataset for credit risk analysis.
Implementing Analytics Projects with ChatGPT
- Exploratory data analysis with ChatGPT.
- Automating report generation and presentations.
- Creating predictive models with ChatGPT integration.
Enhancing Decision-Making in Credit Risk
- Using ChatGPT for scenario analysis and stress testing.
- Developing decision support tools with ChatGPT.
- Optimizing risk strategies using AI-driven recommendations.
Best Practices and Ethical Considerations
- Ensuring data privacy and compliance with ChatGPT.
- Managing biases in AI-driven analytics.
- Integrating ChatGPT responsibly 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
- Basic understanding of credit risk concepts.
- Experience with data analysis or analytics projects.
- No prior experience with ChatGPT is required.
Audience
- Analytics and data teams from credit risk units.
- Credit risk managers exploring AI-driven solutions.
- Professionals implementing 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.