Edge Computing and Industrial IoT Systems
Course provided by Model Institute of Engineering & Technology
8 modules
Explore the fundamentals of Industry 4.0
5 Level NCrF
National Credit Framework
60 Hours
Flexible Learning
Beginner Level
No prior experience required
Certificate Program
02 Credits
Course Overview
This course provides a comprehensive introduction to the Industrial Internet of Things (IIoT), covering its architecture, evolution, and role in modern industrial automation. Learners gain skills in selecting and configuring sensors, deploying edge gateways and computing systems, and analyzing connectivity, security, and data frameworks. Through practical case studies such as solar plant monitoring and railway systems, the course emphasizes hands-on application of IIoT tools, preparing learners to design and implement smart, connected industrial solutions.
Learning Outcome
By the end of this course, students will be able to:
- Explain IIoT architecture and its role in industrial automation.
- Select and configure sensors for specific industrial use cases.
- Deploy and manage edge gateways and computing systems.
- Analyze connectivity protocols, security measures, and data architectures in IIoT.
- Apply IIoT tools to real-world scenarios such as solar plant monitoring and railway systems.
Master the course with just 8 Modules
The course begins with the evolution of industrial revolutions leading to Industry 4.0 and introduces the fundamentals of IIoT, its layered architecture, and industrial applications. Learners explore industrial sensor technologies, edge computing concepts, and IIoT gateways for device-to-cloud integration. The program also covers connectivity protocols such as LoRa and MQTT, along with IIoT data architectures for ingestion and real-time processing. Finally, it emphasizes security frameworks to protect devices and safeguard data across industrial systems.
Evolution of Industrialization and Industry 4.0
Trace the progression from Industry 1.0 to Industry 4.0.
Understand the integration of digital technologies in modern industry.
Recognize the role of connectivity, automation, and data-driven system
Introduction to IIoT – Architecture, Layers, Applications
Learn IIoT fundamentals and layered architecture.
Explore how IIoT enables real-time connectivity and automation.
Study diverse industrial applications across sectors.
Industrial Sensor Technologies
Classify sensors used in industrial automation.
Understand selection criteria for different applications.
Learn calibration methods for accurate monitoring and control.
Fundamentals of Edge Computing
- Define edge computing concepts and importance.
- Study edge computing architectures and models.
- Explore applications in real-time industrial data processing.
IIoT Gateways – Types, Configuration, and Use Cases
Identify different types of IIoT gateways.
Configure gateways for device-to-cloud communication.
Examine use cases in protocol translation and edge processing.
Connectivity Protocols and Edge Communication
- Learn communication protocols such as LoRa, MQTT, and others.
- Understand protocol roles in reliable IIoT data transfer.
- Explore edge-to-cloud integration through communication layers.
IIoT Data Architecture
Study servers, ingestion pipelines, and stream processing.
Learn real-time analytics in IIoT systems.
Explore frameworks for scalable industrial data handling.
Security in IIoT Systems
Identify security risks in IIoT devices and networks.
Learn protection mechanisms for devices and data.
Apply strategies for lifecycle security management in IIoT.
Roles
- IIoT Engineer
- Industrial Automation Engineer
- Edge Computing Specialist
- Sensor & Device Integration Engineer
- Connectivity & Protocol Engineer (LoRa, MQTT, etc.)
- IIoT Security Analyst
- Data Architect (IIoT/Industrial Analytics)
- Smart Factory/Industry 4.0 Specialist
