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Intelligent Workloads at the Edge - Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass (Paperback)
Loot Price: R1,144
Discovery Miles 11 440
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Intelligent Workloads at the Edge - Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass (Paperback)
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Total price: R1,164
Discovery Miles: 11 640
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Explore IoT, data analytics, and machine learning to solve
cyber-physical problems using the latest capabilities of managed
services such as AWS IoT Greengrass and Amazon SageMaker Key
Features Accelerate your next edge-focused product development with
the power of AWS IoT Greengrass Develop proficiency in architecting
resilient solutions for the edge with proven best practices Harness
the power of analytics and machine learning for solving
cyber-physical problems Book DescriptionThe Internet of Things
(IoT) has transformed how people think about and interact with the
world. The ubiquitous deployment of sensors around us makes it
possible to study the world at any level of accuracy and enable
data-driven decision-making anywhere. Data analytics and machine
learning (ML) powered by elastic cloud computing have accelerated
our ability to understand and analyze the huge amount of data
generated by IoT. Now, edge computing has brought information
technologies closer to the data source to lower latency and reduce
costs. This book will teach you how to combine the technologies of
edge computing, data analytics, and ML to deliver next-generation
cyber-physical outcomes. You'll begin by discovering how to create
software applications that run on edge devices with AWS IoT
Greengrass. As you advance, you'll learn how to process and stream
IoT data from the edge to the cloud and use it to train ML models
using Amazon SageMaker. The book also shows you how to train these
models and run them at the edge for optimized performance, cost
savings, and data compliance. By the end of this IoT book, you'll
be able to scope your own IoT workloads, bring the power of ML to
the edge, and operate those workloads in a production setting. What
you will learn Build an end-to-end IoT solution from the edge to
the cloud Design and deploy multi-faceted intelligent solutions on
the edge Process data at the edge through analytics and ML Package
and optimize models for the edge using Amazon SageMaker Implement
MLOps and DevOps for operating an edge-based solution Onboard and
manage fleets of edge devices at scale Review edge-based workloads
against industry best practices Who this book is forThis 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.
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