Get startedGet started for free

MLOps best practices

You have a great grasp on the ways of reducing technical debt in your machine learning pipelines by writing effective documentation and writing maintainable code. The difficult part is knowing when to use a specific best practice and being able to use enough best practices to cover the many ways of reducing technical debt, including writing maintainable code and proper documentation.

In this exercise, you will categorize each best practice into the bucket it best belongs to so that when you need to put them into practice, you will know if you are addressing each major area with at least one best practice. It's time to put this knowledge to the test!

This exercise is part of the course

Developing Machine Learning Models for Production

View Course

Hands-on interactive exercise

Turn theory into action with one of our interactive exercises

Start Exercise