Using Amazon SageMaker ML Lineage Tracking within your ML Workflow

Intermediate
1m 57s
48

In this lesson, we are going to focus on the ML lineage tracking of SageMaker, to help you create and store steps of your machine-learning workflow.

Learning Objectives

  • Learn what ML Ops is at a high level
  • Understand how SageMaker lineage tracking can form a part of your ML workflow
  • Discover the different types of entities that can be captured
  • Explain what a model lineage graph is

Intended Audience

  • Data scientists and ML engineers, specifically those in a role relating to ML Operations
  • Anyone looking to take AWS certifications with a domain focus on data engineering and machine learning

Prerequisites

  • Have an understanding of Amazon SageMaker and be familiar with Machine Learning terms
About the Author
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Stuart has been working within the IT industry for two decades covering a huge range of topic areas and technologies, from data center and network infrastructure design, to cloud architecture and implementation.

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Stuart enjoys writing about cloud technologies and you will find many of his articles within our blog pages.

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