Course Outline


MLOps Overview

  • What is MLOps?
  • MLOps in Azure Machine Learning architecture

Preparing the MLOps Environment

  • Setting up Azure Machine Learning

Model Reproducibility

  • Working with Azure Machine Learning pipelines
  • Bridging Machine Learning processes with pipelines

Containers and Deployment

  • Packaging models into containers
  • Deploying containers
  • Validating models

Automating Operations

  • Automating operations with Azure Machine Learning and GitHub
  • Retraining and testing models
  • Rolling out new models

Governance and Control

  • Creating an audit trail
  • Managing and monitoring models

Summary and Conclusion


  • Experience with Azure Machine Learning


  • Data Scientists
  14 Hours


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