What do you know about MLOps tools? Have you ever used them in a machine learning project?
MLOps tools are the tools that are used to produce and monitor the enterprise-grade deployment of machine learning models. Examples of such tools are MLflow, Pachyderm, Kubeflow, etc. In case you haven’t worked on an MLOps project, try this MLOps project by Goku Mohandas on Github or this MLOps Project on GCP using Kubeflow for Model Deployment by ProjectPro.
