Course description
Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline. In this course, you learn how SageMaker notebooks and instances help power your machine learning workloads and review the key Amazon SageMaker features.
• Course level: Fundamental
• Delivery method: Digital training
• Duration: 30 minutes
Course objectives
In this course, you will learn to:
• Describe where Amazon SageMaker fit into the machine learning pipeline
• Describe Amazon SageMaker data formats
• Use Amazon Sagemaker to train, evaluate, and automatically tune a model
Intended audience
This course is intended for:
• Developers
• Solution Architects
• Data Engineers
Prerequisites
We recommend that attendees of this course have:
• Basic understanding of the machine learning pipeline
