Hands-On Industrial Internet of Things: Build robust industrial IoT infrastructure by using the cloud and artificial intelligence

Updated version of the popular “Hands-On Industrial Internet of Things: Create a powerful Industrial IoT infrastructure using Industry 4.0”

In the new version:

  • Update of AWS and Azure
  • New AI Algorithms
  • Generative AI in IIoT

Nov 2024 - Build scalable, secure, and intelligent systems by utilizing IoT architectures, AWS, Azure, AI, and real-world solutions to become a skilled IIoT architect

In today’s automation-driven era, precision is crucial, and the Industrial Internet of Things (IIoT) has made a remarkable impact. This updated second edition explores the technologies fueling the IIoT revolution and shares essential knowledge to enable you to establish remote-access networks.

Written by IIoT and AI experts, as well as renowned authors, this book helps you enhance your skills in emerging technologies by introducing new techniques from Azure and AWS and keeping you up to date with the latest advancements. You’ll find out how Artificial Intelligence of Things (AIoT) and MLOps apply to IIoT and learn how to handle complex projects confidently. The book covers identifying and connecting industrial data sources from various sensors, advancing from foundational concepts to professional skills. You’ll discover how to connect these sensors to cloud networks such as AWS IoT, Azure IoT, and open source IoT platforms, and extract data from the cloud to your devices. Through hands-on experience with tools such as Node-RED, OPC UA, MQTT, NoSQL, defense in depth, and Python, you’ll develop streaming and batch-based AI algorithms.

By the end of this book, you’ll have achieved a professional level of expertise in the cloud, IoT, and AI, and be able to build more robust, efficient, and reliable IoT infrastructure for your industry.

Hands-On Industrial Internet of Things - 2nd Edition

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Hands-On Industrial Internet of Things: Create a powerful Industrial IoT infrastructure using Industry 4.0

Dec 2018 - We live in an era where advanced automation is used to achieve accurate results. To set up an automation environment, you need to first configure a network that can be accessed anywhere and by any device. This book is a practical guide that helps you discover the technologies and use cases for Industrial Internet of Things (IIOT).

Hands-On Industrial Internet of Things takes you through the implementation of industrial processes and specialized control devices and protocols. You’ll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, you’ll be able to connect these sensors to cloud network, such as AWS IoT, Azure IoT, Google IoT, and OEM IoT platforms, and extract data from the cloud to your devices.

As you progress through the chapters, you’ll gain hands-on experience in using open source Node-Red, Kafka, Cassandra, and Python. You will also learn how to develop streaming and batch-based Machine Learning algorithms.

By the end of this book, you will have mastered the features of Industry 4.0 and be able to build stronger, faster, and more reliable IoT infrastructure in your Industry.

Hands-On Industrial Internet of Things

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Who this book is for

If you’re an IoT architect, developer, or stakeholder working with architectural aspects of Industrial Internet of Things, this book is for you.

Table of Contents

  • Introduction to Industrial IOT
  • Understanding the Industrial IOT Process
  • Industrial Data Flow and Devices
  • Implementing Data Collection & Industrial IOT Gateway
  • Applying Cyber Security
  • Performing Industrial Protocols & Standards’ exercise
  • Developing Industrial IOT and Cloud Architecture
  • Understanding Industrial OEM Cloud
  • Implementing a Legacy Industrial IOT platform
  • Implementing a Cloud I-IoT Solution with AWS IoT
  • Implementing a Cloud I-IoT Solution with Google Cloud IoT
  • Implementing a Practical I-IoT Solution with Azure IoT
  • Performing Diagnostic, Maintenance and Predictive Analytics
  • Implementing a Digital Twin: Advanced Analytics
  • Performing an Analytics’ Exercise

Amazon score

4.4 with 71 reviewes

Github code of the book

Github Book

Maven Build Customization

Nov 2014 - Customize Maven build.

Who this book is for

This book is for developers and delivery managers who have some experience with Maven and Java, but want to extend their knowledge to automate the building process, thereby reducing human errors.

Maven Build Customization

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