AWS Foundations: How Amazon SageMaker Can Help

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