Automation in MLOps workflows
After hearing that you are learning about the different levels of automation in MLOps, a colleague of yours asks you for some help. She is wondering about automation in all steps of the ML lifecycle, including design, development & experimentation, and deployment. She wonders if it is possible to automate every aspect in the development of ML systems.
In this question, you will choose the option that best describes how you can apply a full automation approach to MLOps and the development of ML systems.
This exercise is part of the course
Fully Automated MLOps
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
