Edge Computing and Industrial IoT Systems

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Course provided by Model Institute of Engineering & Technology

8 modules

Explore the fundamentals of Cyber Physical Systems

5 Level NCrF 

National Credit Framework

60 Hours 

Flexible Learning

Beginner Level 

No prior experience required

Diploma Program

02 Credits

Course Overview

This course provides a comprehensive introduction to the Industrial Internet of Things (IIoT), tracing its evolution from traditional industrial automation to modern connected systems. Learners will explore IIoT architecture and key components, including sensor technologies tailored for diverse industrial applications. The curriculum covers the role of edge gateways and computing systems in processing data close to the source. Participants will analyze connectivity protocols, security frameworks, and data architectures critical for robust IIoT deployments. Through practical case studies such as solar plant monitoring and railway system management, learners gain hands-on experience applying IIoT tools to solve real-world industrial challenges, preparing them to design and implement effective IIoT solutions.

Key Learning Highlights

  • Explore the evolution of industrial automation and the architecture of IIoT systems.

  • Identify and evaluate appropriate sensors for various industrial environments.

  • Understand the function and configuration of edge gateways and edge computing devices.

  • Analyze connectivity protocols, data architectures, and IIoT-specific security frameworks.

  • Apply IIoT tools and platforms to real-world use cases like solar plant monitoring and smart railways.

Tools & Platform Used

Learning Outcome

By the end of this course, learners will be able to:

  • Describe the architecture of Industrial IoT systems and explain their evolution from traditional industrial automation.

  • Select and evaluate appropriate sensors based on specific industrial application needs.

  • Configure edge gateways and understand the role of edge computing in IIoT deployments.

  • Analyze different IIoT connectivity protocols, data architectures, and security frameworks.

  • Implement IIoT solutions in real-world scenarios such as solar energy monitoring and railway system management.

Master the course with just 6 Modules

This course offers a comprehensive journey through the Industrial Internet of Things (IIoT), beginning with the evolution of industrialization and the emergence of Industry 4.0. Learners will explore the architecture, layers, and applications of IIoT systems, followed by an in-depth study of industrial sensor technologies, including their classification, selection, and calibration. The course covers the fundamentals of edge computing and the configuration of IIoT gateways, emphasizing their role in real-time data processing. Key connectivity protocols such as LoRa and MQTT are introduced to illustrate device communication in industrial environments. Learners will also delve into IIoT data architectures, including servers, ingestion pipelines, and stream processing techniques. The course concludes with a focus on security, covering device protection and data security mechanisms essential for safe and reliable IIoT deployment.

Evolution of Industrialization and the Rise of Industry 4.0
  • Trace the history of industrial revolutions leading to Industry 4.0.
  • Understand the shift from traditional automation to connected systems.
  • Explore the drivers, technologies, and trends behind smart manufacturing.
  • Understand the core architecture and functional layers of IIoT systems.
  • Identify key components: sensors, gateways, networks, cloud, and analytics.
  • Explore industry applications across energy, transportation, and manufacturing.

  • Study different types of industrial sensors and their functions.

  • Learn criteria for selecting sensors for specific use cases.

  • Understand calibration methods for accurate measurements.

  • Define edge computing and its role in IIoT.

  • Explore edge computing architectures and deployment models.

  • Identify real-world applications of edge computing in industries.

  • Differentiate between various types of IIoT gateways.
  • Learn gateway configuration and connectivity methods.
  • Analyze practical use cases in industrial environments.
  • Understand common IIoT communication protocols.
  • Compare low-power and high-speed connectivity solutions.
  • Evaluate protocol selection for different industrial needs.

  • Learn how data is ingested, stored, and processed in IIoT systems.

  • Explore server-based and cloud-based IIoT data platforms.

  • Study stream processing for real-time analytics.

  • Understand cybersecurity risks in IIoT environments.
  • Learn about device authentication and secure communication.
  • Explore best practices for ensuring data integrity and privacy.

Roles

  • IIoT Engineer
  • Edge Computing Specialist
  • Industrial Data Analyst
  • Automation Engineer
  • Sensor & Device Integration Engineer
  • IIoT Security Specialist
  • Smart Factory Consultant
  • Field Application Engineer (IIoT/Edge Systems)

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