AWS Foundations: How Amazon SageMaker Can Help

AWS Foundations: How Amazon SageMaker Can Help

AWS LIS-AWSII-5746

Kostenlos
Languages Available: Deutsch | Español (Latinoamérica) | Français | Bahasa Indonesia | ไทย | Italiano | 日本語 | 한국어 | Português (Brasil) | 中文(简体) | 中文(繁體) | Tiếng ViệtCourse descriptionLearn 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 minutesCourse objectivesIn 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 modelIntended audienceThis course is intended for: • Developers • Solution Architects • Data EngineersPrerequisitesWe recommend that attendees of this course have: • Basic understanding of the machine learning pipeline
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