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.
Duration 14 hours
Course Outline
Introduction to ChatGPT
- Defining ChatGPT: Core features and capabilities
- The role of conversational AI in credit risk
- Configuring ChatGPT for risk management tasks
Portfolio Analysis Using ChatGPT
- Interpreting loan portfolios via natural language prompts
- Producing portfolio summaries and actionable insights
- Real-world examples: Applying ChatGPT to portfolio risk evaluation
Executing Data Projects with ChatGPT
- Simplifying data preparation and cleansing processes with ChatGPT
- Leveraging ChatGPT for feature engineering and variable selection
- Practical tasks: Constructing datasets for credit risk assessment
Driving Analytics Projects with ChatGPT
- Conducting exploratory data analysis with ChatGPT
- Automating the creation of reports and presentations
- Developing predictive models with ChatGPT integration
Improving Decision-Making in Credit Risk
- Utilizing ChatGPT for scenario modeling and stress testing
- Creating decision support tools using ChatGPT
- Refining risk strategies through AI-generated recommendations
Best Practices and Ethical Frameworks
- Maintaining data privacy and regulatory compliance when using ChatGPT
- Addressing biases within AI-driven analytics
- Responsible integration of ChatGPT into risk management operations
Practical Exercises
- Prompting ChatGPT for portfolio intelligence
- Generating automated risk reports
- Prototyping an AI-assisted risk management tool
Future Prospects
- Advanced use cases of ChatGPT in microfinance
- Emerging AI trends in credit risk and data analytics
- Roadmaps for advanced learning and specialization
Recap and Recommendations
Requirements
- Foundational knowledge of credit risk principles.
- Prior involvement in data analysis or analytics initiatives.
- No previous hands-on experience with ChatGPT is necessary.
Target Audience
- Analytics and data teams within credit risk departments.
- Credit risk managers investigating AI-powered solutions.
- Professionals deploying 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.