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 in 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 (3)

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