Optimize Machine Learning Models for Inference With SageMaker Neo

Welcome to this lesson on Amazon SageMaker Neo, a capability that optimizes machine learning models for inference on cloud and edge devices.

Learning Objectives

• Explain key challenges in machine learning model deployment
• Describe Amazon SageMaker Neo and its benefits
• Optimize a pre-trained ResNet50 model using SageMaker Neo
• Deploy a Neo-optimized ResNet50 model as a SageMaker endpoint
• Implement real-time inference with the optimized ResNet50 model

Intended Audience

• This lesson is designed for machine learning engineers, data scientists, and DevOps professionals looking to optimize and deploy machine learning models efficiently using Amazon SageMaker Neo.

Prerequisites

• To get the most out of this lesson, you should have some basic working knowledge of machine learning concepts and AWS cloud services.
• Familiarity with Python programming, AWS SageMaker, and experience training machine learning models will be beneficial.

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Optimize Machine Learning Models for Inference With SageMaker Neo