Get startedGet started for free

Metadata in MLOps

During the previous video, you learned the definition of metadata: the information about the execution of the different components of an ML pipeline.

In this exercise, you will choose the option that contains examples of metadata.

A machine learning pipeline is presented. The pipeline has the following steps: data extraction, data validation, model training, model evaluation, and model validation.

This exercise is part of the course

Fully Automated MLOps

View Course

Hands-on interactive exercise

Turn theory into action with one of our interactive exercises

Start Exercise