Introduction
Imagine you trained a model. The next step is to operationalize the model and to make sure whoever needs the predictions can consume them.
Machine Learning operations or MLOps help you to scale your model from a proof of concept or pilot project to production. A model in production is ready for large-scale deployment and is retrained and redeployed when necessary.
Implementing MLOps helps you to make your machine learning workloads robust and reproducible.
You'll learn about a typical MLOps architecture and what you need to consider to bring a model to production.
Learning objectives
In this module, you will:
- Explore an MLOps architecture.
- Design for monitoring.
- Design for retraining.