Edge Computing and Industrial IoT Systems
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
Certificate Program
02 Credits
Course Overview
This course introduces learners to the fundamentals of the Industrial Internet of Things (IIoT) and its role in modern industrial automation. It covers IIoT architecture, sensor technologies, edge gateways, and connectivity frameworks, while addressing security and data management challenges. Through case studies such as solar plant monitoring and railway system applications, learners gain hands-on experience in evaluating, configuring, and applying IIoT tools for real-world industrial scenarios.
Key Learning Highlights
- Understand the evolution of industrial automation and IIoT architecture.
- Evaluate and select sensors for diverse industrial applications.
- Configure and utilize edge gateways and computing systems for real-time data processing.
- Analyze connectivity layers, data architectures, and security frameworks in IIoT.
- Apply IIoT tools in practical use cases like solar plant monitoring and railway systems.
Tools & Platform Used
Learning Outcome
By the end of this course, learners will be able to:
Explain IIoT architecture and the historical context of industrial automation.
Evaluate and select sensors for various industrial applications.
Configure and implement edge gateways and computing systems.
Analyze connectivity layers, security frameworks, and IIoT data architectures.
Apply IIoT tools in real-world scenarios such as solar plant monitoring and railway systems.
Master the course with just 8 Modules
The course begins by tracing the evolution of industrialization and the rise of Industry 4.0, establishing the foundation for modern industrial automation. Learners are then introduced to the IIoT architecture, layered frameworks, and industrial applications, followed by a deep dive into industrial sensor technologies, including classification, selection, and calibration. The program covers edge computing concepts and architectures, IIoT gateways, and connectivity protocols like LoRa and MQTT for real-time communication. Students also explore IIoT data architectures, including servers, ingestion pipelines, and stream processing, alongside security strategies to protect devices and data in industrial environments. Practical case studies tie these concepts to real-world implementations.
Evolution of Industrialization and the Rise of Industry 4.0
Trace the historical progression of industrial revolutions.
Understand the drivers behind Industry 4.0 adoption.
Explore key technologies shaping modern industrial automation.
Introduction to IIoT: Architecture, Layers, Applications
Learn the fundamentals of IIoT architecture and layered frameworks.
Understand industrial use cases and connectivity scenarios.
Explore real-world applications in manufacturing, energy, and transportation.
Industrial Sensor Technologies
Classify and select sensors for industrial environments.
Understand calibration methods for accurate measurements.
Apply sensors to monitor and control physical processes.
Fundamentals of Edge Computing
- Explore concepts and architectural models of edge computing.
- Learn applications of edge processing in industrial systems.
- Understand benefits of processing data closer to the source.
IIoT Gateways: Types, Configuration, and Use Cases
Learn different types of IIoT gateways and their configurations.
Enable device-to-cloud communication and protocol translation.
Apply gateways in real-world industrial scenarios.
Connectivity Protocols and Edge Communication
Understand key protocols like LoRa, MQTT, and others.
Enable reliable and low-latency edge-to-cloud communication.
Ensure seamless integration across devices and networks.
IIoT Data Architecture
- Learn server architectures, ingestion pipelines, and stream processing.
- Understand real-time analytics and data management strategies.
- Apply data architectures to optimize industrial operations.
Security in IIoT Systems
- Explore device and data protection mechanisms.
- Understand security frameworks for IIoT environments.
- Learn best practices to safeguard industrial networks and endpoints.
Roles
- IIoT Engineer
- Industrial Automation Engineer
- Edge Computing Specialist
- Sensor and Instrumentation Engineer
- Industrial Network and Security Analyst
- Smart Manufacturing Consultant
- Data Integration and Analytics Engineer
