Lilly Tech Systems
Regression Testing for Models
Prevent model degradation with baseline comparisons, automated regression suites, performance threshold alerts, and version comparison testing.
Course Lessons
Work through these lessons sequentially or jump to the topic most relevant to you.
1. Model Regression Overview
Understanding model regression
2. Baseline Model Comparison
Comparing against baseline models
3. Automated Regression Suites
Building automated regression tests
4. Data Regression Detection
Detecting data-level regressions
5. Performance Threshold Alerts
Setting up performance alerts
6. Version Comparison Testing
Comparing model versions
7. Regression Testing in Production
Running regression tests in production
What You'll Learn
By the end of this course, you will be able to:
Core Concepts
Understand the fundamental principles and techniques of regression testing for models for production AI systems.
Practical Skills
Build hands-on skills with real code examples, frameworks, and tools used by industry professionals.
Best Practices
Apply industry best practices and avoid common pitfalls when implementing testing in your ML projects.
Production Ready
Ship reliable, well-tested AI systems with confidence using automated testing pipelines.