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Intelligent Workloads at the Edge Cover

Intelligent Workloads at the Edge

Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass

Paid access
|Jan 2022
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Table of Contents

  1. Introduction to the Data-Driven Edge with Machine Learning
  2. Foundations of Edge Workloads
  3. Building the Edge
  4. Extending the Cloud to the Edge
  5. Ingesting and Streaming Data from the Edge
  6. Processing and Consuming Data on the Cloud
  7. Machine Learning Workloads at the Edge
  8. DevOps and MLOps for the Edge
  9. Fleet Management at Scale
  10. Reviewing the Solution with AWS Well-Architected Framework
PDF ISBN: 978-1-80181-887-2
Publisher: Packt Publishing Limited
Copyright owner: © 2022 Packt Publishing Limited
Publication date: 2022
Language: English
Pages: 374