Using Amazon SageMaker ML Lineage Tracking within your ML Workflow

Difficulty: Intermediate
Duration: 1 minute and 57 seconds
Students: 70
Rating: 3/5

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