Build It in a Day: Hands-On AI Engineering: Building Agentic Credit Scoring Pipelines with Python and MCP

Workshop Info

Hands-On AI Engineering: Building Agentic Credit Scoring Pipelines with Python and MCP
This 3-hour technical workshop delivers practical experience constructing credit-grading solutions with Python and low-code platforms. Participants learn to configure agents, connect data sources through MCP, and integrate LLM APIs. Facilitated by implementation leads Kushagra Krishna and Ruifeng Wang, Ph.D.

October 2 – November 20, 2026

These workshops offer the opportunity to experience risk management processes by building them. Examples include counterparty credit risk estimation, FAMA-French factor models, bank default modeling, risk management infrastructure at a lending company, the Fundamental Review of the Trading Book (FRTB), Comprehensive Capital Assessment and Review (CCAR). These major concepts are as much about their implementation as they are about their theoretical description; and organizations gain competitive advantage by effectively implementing these concepts. As a professional, a first step to adding value to this work at an organization is knowing how to build a simple version in a day.

How To Join a Session

Click on the Join a Session button at 1:00 pm ET on the day of your desired workshop. Each workshop ends at 4:00 pm ET.