Debug ML Code: Fix, Trace & Evaluate
By Coursera
on Coursera
· Technology
About This Course
Machine learning systems fail in ways that traditional software does not—data changes, schema mismatches, and model assumptions all create unique bugs. This course teaches you how to trace, fix, and validate these issues using a structured debugging workflow. You’ll write targeted unit tests, interpret stack traces and logs, patch defects, and confirm resolutions through regression testing. Each lesson includes concise videos, practical readings, hands-on work, and a realistic ungraded lab. By the end, you’ll know how to diagnose ML failures quickly, prevent regressions, communicate your fixes clearly, and build more reliable ML codebases.
Instructor
Debug ML Code: Fix
Frequently Asked Questions
How much does Debug ML Code: Fix, Trace & Evaluate cost?
Debug ML Code: Fix, Trace & Evaluate costs $49. Check the course page for current pricing and available discounts.
Who teaches Debug ML Code: Fix, Trace & Evaluate?
Debug ML Code: Fix, Trace & Evaluate is taught by Coursera, Coursera.
What skill level is Debug ML Code: Fix, Trace & Evaluate for?
This course is designed for all levels learners.