Automate and Evaluate ML Pipeline Tests
By Coursera
on Coursera
· Technology
About This Course
Machine learning systems shift over time, making structured testing essential. In this short course, you’ll learn how to evaluate ML pipelines using unit, integration, and smoke tests and how to detect data drift across critical features. You will also create automated regression test suites that compare new model outputs to golden datasets, helping you catch degradation early and deploy reliably. Through concise videos, readings, hands-on practice, and guided coaching, you’ll define meaningful ML test cases and configure nightly pytest suites. By the end, you will have a practical, reusable testing framework you can apply directly to real-world ML pipelines.
Instructor
ansrsource instructors
Frequently Asked Questions
How much does Automate and Evaluate ML Pipeline Tests cost?
Visit the Automate and Evaluate ML Pipeline Tests course page for current pricing and available discounts.
Who teaches Automate and Evaluate ML Pipeline Tests?
Automate and Evaluate ML Pipeline Tests is taught by ansrsource instructors, Coursera.
What skill level is Automate and Evaluate ML Pipeline Tests for?
This course is designed for all levels learners.