Using Amazon SageMaker ML Lineage Tracking within your ML Workflow
Difficulty: Intermediate
Duration: 1 minute and 57 seconds
Students: 69
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
Covered Topics