Degrees of automation in MLOps
"In the previous video, you learned about the three levels of MLOps maturity: manual, semi-automated, and fully automated ML workflows. These levels represent increasing levels of automation in the ML workflow process, with fully automated being the most mature.
In this exercise, you will apply your knowledge about the MLOps reference architecture to classify a series of statements related to machine learning workflows. The statements will describe methodologies and techniques used in ML workflows, and your task is to classify them according to their level of maturity in the following categories:
- Manual
- Semi-automated
- Fully automated
This exercise is part of the course
Fully Automated MLOps
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
