Lilly Tech Systems
Automated Model Monitoring
Build comprehensive model monitoring systems with data drift detection, concept drift detection, automated retraining triggers, and alert configuration.
Course Lessons
Follow these lessons in order for the best learning experience, or jump to any topic you need.
1. Model Monitoring Overview
Learn about model monitoring overview in the context of automated model monitoring. Hands-on examples and best practices.
2. Data Drift Detection
Learn about data drift detection in the context of automated model monitoring. Hands-on examples and best practices.
3. Concept Drift Detection
Learn about concept drift detection in the context of automated model monitoring. Hands-on examples and best practices.
4. Performance Monitoring Dashboards
Learn about performance monitoring dashboards in the context of automated model monitoring. Hands-on examples and best practices.
5. Automated Retraining Triggers
Learn about automated retraining triggers in the context of automated model monitoring. Hands-on examples and best practices.
6. Alert Configuration
Learn about alert configuration in the context of automated model monitoring. Hands-on examples and best practices.
7. Monitoring Architecture
Learn about monitoring architecture in the context of automated model monitoring. Hands-on examples and best practices.