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.
Applied Learning Project
Applied exercises and case analyses included within the courses provide structured opportunities to reinforce key Industrial IoT concepts. Learners engage with realistic scenarios that reflect industrial processes, data flow implementation, cloud integration, and analytics workflows. Through guided tasks, participants apply cybersecurity practices, explore platform configurations, and analyze data-driven outcomes in both AWS and Azure environments. These activities support deeper understanding by encouraging hands-on application of concepts, helping learners connect theoretical knowledge with practical implementation across Industrial IoT systems.
