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Industrial Internet of Things (IIoT)

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May 1, 2024 3 minute read
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Industrial Internet of Things (IIoT) is the application of Internet of Things (IoT) technologies in industrial settings. It involves connecting industrial equipment, machines, and sensors to the internet, enabling them to collect, exchange, and analyze data. This data can then be used to optimize industrial processes, improve efficiency, and reduce costs.

Why Learn Industrial Internet of Things (IIoT)?

There are many reasons why you might want to learn about Industrial Internet of Things (IIoT). Here are a few:

Path to Industrial Internet of Things (IIoT)

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We've curated five courses to help you on your path to Industrial Internet of Things (IIoT). Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected three books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Industrial Internet of Things (IIoT).
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Internet of Things
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Comprehensive guide covering the foundational concepts, enabling technologies, and practical applications of IIoT, providing insights into industry use cases and challenges.
Internet of Things
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Internet of Things
Kindle Edition
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Internet of Things: Technologies, Challenges and...
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Presents a comprehensive analysis of IIoT applications across various sectors, addressing challenges and opportunities for its implementation.
Internet of Things: Technologies, Challenges and...
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Internet of Things: Technologies, Challenges and...
Kindle Edition
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The Cloud in IoT-enabled Spaces
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Analyzes the advancements and challenges in IIoT, presenting case studies from various industries to demonstrate its real-world applications.
The Cloud in IoT-enabled Spaces
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The Cloud in IoT-enabled Spaces
Kindle Edition
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Relevant careers
Industrial Engineer
Data Scientist
Software Engineer
Electrical Engineer
Computer Engineer
Operations Manager
Plant Manager
Related topics
Internet of Things (IoT)
Embedded Systems
Cloud Computing
Data Analytics
Artificial Intelligence (AI)
Machine Learning
Robotics
Software Engineering
Computer Science
Electrical Engineering
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