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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. • 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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