Intelligent Workloads at the Edge
Intelligent Workloads at the Edge is a practical guide to designing, deploying, and operating data-driven workloads on edge IoT devices for delivering cyber-physical outcomes. You'll work with hands-on projects to learn how to build intelligent applications that run on edge devices with AWS IoT Greengrass.
Offered by
Difficulty Level
Intermediate
Completion Time
12h28m
Language
English
About Book
Who Is This Book For?
This book is for IoT architects and software engineers responsible for delivering analytical and machine learning–backed software solutions to the edge. AWS customers who want to learn and build IoT solutions will find this book useful. Intermediate-level experience with running Python software on Linux is required to make the most of this book.
Intelligent Workloads at the Edge
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h28m total length
Introduction to the Data-Driven Edge with Machine Learning
Foundations of Edge Workloads
Building the Edge
Extending the Cloud to the Edge
Ingesting and Streaming Data from the Edge
Processing and Consuming Data on the Cloud
Machine Learning Workloads at the Edge
DevOps and MLOps for the Edge
Fleet Management at Scale
Reviewing the Solution with AWS Well-Architected Framework
Related Resources
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