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.

Zobacz także:

• Arduino. Kurs video. Poziom pierwszy. Podstawowe techniki dla wÅ‚asnych projektów elektronicznych 99,00 zÅ‚, (44,55 zÅ‚ -55%)
• Elektronika. Od analizy symbolicznej do oblicze 99,00 zÅ‚, (49,50 zÅ‚ -50%)
• Elektronika. Projekty dla pasjonat 49,90 zÅ‚, (24,95 zÅ‚ -50%)
• Elektronika bez oporu. Uk 59,90 zÅ‚, (29,95 zÅ‚ -50%)
• Jak sztuczna inteligencja zmieni twoje 69,00 zÅ‚, (34,50 zÅ‚ -50%)

Spis treści

Hands-On Industrial Internet of Things. Build robust industrial IoT infrastructure by using the cloud and artificial intelligence - Second Edition eBook -- spis treści

• 1. Introduction to Industrial IOT
• 2. Understanding the Industrial Process and Devices
• 3. Industrial Data Flow and Devices
• 4. Implementing the Industrial IoT Data Flow
• 5. Applying Cybersecurity
• 6. Performing an Exercise Based on Industrial Protocols and Standards
• 7. Developing Industrial IoT and Architecture
• 8. Implementing a Custom Industrial IoT Platform
• 9. Building an AWS Industrial IOT Solution
• 10. Implementing an Industrial IOT Data Flow with AWS
• 11. Performing a Practical Industrial IoT Solution with Azure
• 12. Implementing an Industrial IoT Data Flow with Azure
• 13. Performing Diagnostic, Maintenance, and Predictive Analytics
• 14. Implementing a Digital Twin – Advanced Analytics
• 15. Deploying an Analytics Model