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Hands-On Industrial Internet of Things

Build robust industrial IoT infrastructure by using the cloud and artificial intelligence

Giacomo VeneriAC

Created by Giacomo Veneri, Antonio Capasso

Explore how to build and manage industrial IoT systems using cloud platforms and AI. Gain hands-on experience connecting sensors, processing data, and applying analytics to improve industrial operations. Learn to confidently design robust IIoT infrastructure for real-world environments.

Packt | Nov 2024 | 530 min

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LevelExpert
CategoriesEmbedded Systems Development, Edge Computing, Internet of Things (IoT) and Distributed Systems

What You Will Learn

You will start by connecting real industrial devices and sensors to cloud networks, then work through practical exercises using tools like Node-RED, OPC UA, and MQTT. As you progress, you will apply AI and machine learning to real-time and batch data, building solutions that address common industrial challenges. Each step builds your confidence in designing and deploying IIoT systems.

Key Features

  • Connect industrial sensors to AWS, Azure, and open source IoT platforms
  • Develop AI-driven analytics for predictive maintenance and process optimization
  • Implement secure, scalable IIoT networks using industry protocols and best practices

Target Audience

Designed for IoT architects, developers, and AI engineers who want to advance their skills in industrial IoT. If you already understand Python and networking basics, you will benefit from practical guidance and real-world scenarios that help you design, implement, and optimize IIoT solutions for your organization.

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