This course is designed to teach you how to deploy, manage, and scale machine learning models in production. As this is a very wide area in the Machine Learning space, this course would look at certain areas which are more in demand such as the following:
o MLOps Best Practices & Ways of Working
o Versioning and Branching Strategies
o Packaging a model using Docker
o Model tracking using ML Flow
o Using Azure Pipelines to deploy a model as an endpoint in Azure ML
o Using GitHub Actions to deploy a model as an endpoint in Azure ML
