From the course: Machine Learning with SageMaker by Pearson

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Learning objectives

Learning objectives

Welcome to Lesson 6, where we will explore how to deploy machine learning models using AWS SageMaker. This lesson begins with real-time inference, learning how to set up SageMaker endpoints for immediate predictions. We'll then dive into batch and asynchronous inference, ideal for handling large data sets and unpredictable workloads. Finally, we will introduce SageMaker Neo for edge deployment, optimizing models for low-latency offline use on devices like IoT sensors and cameras.

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