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
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