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Amazon SageMaker - ML Governance

Difficulty: Beginner
Duration: 2 minutes and 4 seconds
Students: 33

This lesson is going to explain the governance features in Amazon SageMaker so that you can have better visibility, documentation, and auditing abilities within the SageMaker console.  

Learning Objectives

By the end of this lesson, you will have a greater understanding of the governance features in Amazon SageMaker, including:

  • SageMaker Role Manager

  • SageMaker Model Cards

  • SageMaker Model Dashboard

  • And SageMaker Assets

Intended Audience

This lesson has been created for those who are working with Amazon SageMaker and looking to get more visibility into their ML models. This may include those in roles such as machine learning administrator, machine learning engineer, and software engineer.

Prerequisites

  • To get the most out of this lesson, you should have a basic understanding of Amazon SageMaker, including what the serivce is and does.

  • For more information on Amazon SageMaker, please see our existing content titled: Introduction to SageMaker