Hands-On Industrial Internet of Things

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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.

Syllabus

Course 1: Foundations of Industrial IoT Devices, Data Flow, & Security
Course 2: Designing and Building Industrial IoT Platforms
Course 3: Cloud Integration and Advanced Analytics for Industrial IoT

Courses

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Master the integration of Industrial IoT with leading cloud platforms and unlock the power of advanced analytics, digital twins, and machine learning for industrial applications. Discover how to leverage AWS, Azure, and multi-cloud environments to drive innovation and predictive insights. This course empowers learners to implement Industrial IoT solutions using AWS and Azure, covering cloud-based data flows, device management, and analytics pipelines. Participants will explore advanced topics such as predictive analytics, digital twin modeling, and deploying machine learning models across cloud and edge environments. By the end of the course, learners will be able to architect scalable, intelligent IIoT systems that harness the full potential of cloud technologies and AI-driven analytics. The course combines in-depth explanations, industry use cases, and targeted assessments to help learners confidently apply cloud and analytics concepts in industrial contexts. Emphasis is placed on practical integration strategies and the latest advancements in IIoT analytics. This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.
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Designing Industrial IoT platforms requires integrating data processing, scalable architectures, and advanced analytics to support modern industrial operations. This course focuses on building robust IIoT platforms that enable efficient data handling and intelligent decision-making in connected environments. You will learn to design and implement Industrial IoT architectures using tools such as Python, InfluxDB, Node-RED, Airflow, and Neo4j. The course guides you through integrating data pipelines, managing time-series data, and deploying analytics models to support real-world industrial applications. What sets this course apart is its combination of platform design and advanced analytics, including digital twin implementation and model deployment. This ensures you gain both technical depth and practical insight into building scalable, data-driven IIoT solutions. This course is ideal for developers, engineers, and IT professionals with prior knowledge of Industrial IoT or data systems. Familiarity with programming and basic data concepts will be beneficial. This course is part two of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.
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Industrial Internet of Things (IIoT) is transforming how modern industries operate by enabling connected systems, real-time data flow, and secure communication. This course focuses on the core principles of Industrial IoT, helping learners understand how industrial processes, devices, and data interact within smart environments. You will explore industrial processes, sensors, actuators, and data flow while learning how information moves across systems. The course also covers key industrial protocols and introduces cybersecurity practices essential for protecting IIoT infrastructures, enabling you to analyze and support secure implementations. What sets this course apart is its balance of foundational theory and practical insights, supported by real-world examples and structured exercises. This approach ensures you gain both conceptual clarity and the ability to apply knowledge in industrial contexts. This course is ideal for beginners, IT professionals, and engineers interested in Industrial IoT systems. No prior experience is required, though basic technical awareness will be beneficial. This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.