Hands-On Industrial Internet of Things
About this course
This Specialization presents a structured pathway through the core building blocks of Industrial Internet of Things systems, progressing from industrial processes and connected devices to cloud-enabled architectures and advanced analytics. In the first course, learners build a strong foundation by exploring industrial processes, devices, and data flow, along with how cybersecurity supports secure implementation in operational environments. The second course extends this foundation into platform design and cloud integration. Learners examine Industrial IoT architecture, implement a custom platform, and work with data flow using both AWS and Azure. The course also introduces diagnostic, maintenance, and predictive analytics, demonstrating how industrial data supports informed decision-making. The final course focuses on advanced capabilities, including digital twin implementation and analytics model deployment. Together, the sequence forms a cohesive learning journey from foundational concepts to applied cloud solutions and advanced analytics in modern industrial environments. This Specialization is based on the book Hands-On Industrial Internet of Things, by Giacomo Veneri, Antonio Capasso.
75/100
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What you'll learn
- Design and implement Industrial IoT architectures using cloud platforms
- Build custom IIoT platforms with AWS and Azure integration
- Apply cybersecurity principles to industrial operational environments
- Implement digital twin technology for industrial systems
- Deploy predictive analytics and maintenance models using industrial data
- Design secure data flow systems for connected industrial devices
Course objectives
- Understand the core building blocks of Industrial Internet of Things systems
- Integrate cloud platforms into industrial IoT architectures
- Apply diagnostic, maintenance, and predictive analytics to industrial operations
- Implement digital twin solutions in industrial environments
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