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AWS Foundations: How Amazon SageMaker Can Help

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.

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 objective

In this course you will learn to:

  • Describe where Amazon SageMaker fit into the machine learning pipeline
  • Describe Amazon SageMaker data format
  • Use Amazon Sagemaker to train, evaluate, and automatically tune a model

Intended audience

This course is intended for:

  • Developers
  • Solution Architects
  • Data Engineers

Prerequisities

We recommend that attendees of this course have:

  • Basic understanding of the machine learning pipeline

About Instructor

AWS

114 Courses

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Course Includes

  • 1 Lesson
  • Instructor: AWS

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