Practitioners Guide to Machine Learning Operations (MLOps)

Gain an overview of the machine learning operations (MLOps) life cycle, processes, and capabilities. Understand concrete details about running a continuous training pipeline, deploying a model, and monitoring predictive performance of ML models.

Front page of Practitioners Guide to MLOps report: a framework for continuous delivery and automation of machine learning

In this report, you will learn:

  • The MLOps life cycle and important processes and capabilities for successful ML-based systems
  • Orchestrating and automating the execution of continuous training pipelines
  • Model deployment and prediction serving
  • Dataset and feature management
  • Model management and governance

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