🌐 Industrial IoT (IIoT): Applications in Industrial Automation

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🌐 Industrial IoT (IIoT): Applications in Industrial Automation

Course Code: 2037-MECH/NC
Category: Industrial Control & Programming
Duration: 5 Weeks (15 sessions, 2 hours each)

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📝 Introduction

The Industrial Internet of Things (IIoT) is revolutionizing how factories operate, enabling smart monitoring, predictive maintenance, and data-driven decisions. This course explores the full lifecycle of IIoT deployment—from sensors and protocols to cloud integration and smart applications.

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📄 Course Description

This hands-on course equips engineers and IT professionals with the skills to design and deploy IIoT systems. It covers device connectivity, cloud communication, real-time data analysis, and smart control applications using modern tools like Node-RED, AWS IoT, and AI-based analytics.

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🎯 Objectives

By the end of this course, participants will:

• Understand the concept and components of IIoT

• Learn key industrial communication protocols (MQTT, CoAP, OPC UA)

• Connect smart sensors and PLCs to cloud platforms

• Collect and analyze industrial data for insights and optimization

• Build complete IIoT solutions for smart monitoring and control

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✅ What You Will Learn

• Basics of IIoT and its role in Industry 4.0

• Communication protocols: MQTT, CoAP, OPC UA

• Connecting sensors and PLCs to cloud platforms

• Building dashboards with Node-RED and AWS IoT

• Real-time data collection and analytics

• Applying AI/ML to detect patterns and predict failures

• Security and encryption in industrial networks

• Developing IIoT-based web/mobile monitoring apps

• Final project implementation and performance testing

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👥 Target Audience

• 🤖 Automation & Control Engineers

• 🔌 Electronics and Communication Engineers

• 💻 Industrial IT Specialists

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📚 Materials Included

• Protocol cheat sheets and quick-start guides

• Node-RED and AWS IoT sample projects

• Real-time data simulation tools

• AI/ML templates for predictive analytics

• Access to all recordings and course documents

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🧰 Requirements

• Basic programming knowledge (Python/JavaScript preferred)

• Familiarity with PLCs or embedded systems

• Laptop with internet access

• Optional: AWS account, Node-RED, and VS Code

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🕒 Instruction Time Frame

• Duration: 5 Weeks

• Sessions: 15 live sessions (2 hours each)

• Frequency: 3 sessions per week

• Support: Weekly technical Q&A and feedback sessions

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🧑‍🏫 Course Format

• Live sessions via Zoom/Teams with practical demos

• Project-based learning using real data and devices

• Weekly hands-on exercises (sensor-cloud connections, data analysis)

• Final project with group presentation

• Certificate of completion

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🗂️ Detailed Course Content

📅 Week 1: Introduction to IIoT and Protocols

• IIoT overview and industrial relevance

• Key communication protocols: MQTT, CoAP, OPC UA

• Introduction to smart sensors

• Setting up development environments (Node-RED, AWS IoT)

📅 Week 2: Device Connectivity and Security

• Connecting PLCs and sensors to cloud

• Industrial network security principles

• Data encryption and protection

• 🛠️ Practical Task: Connect a sensor to the cloud platform

📅 Week 3: Industrial Data Analytics

• Real-time data collection from edge devices

• AI and ML for industrial analytics

• Predictive maintenance using sensor data

• 🛠️ Exercise: Analyze production data with ML

📅 Week 4: Cloud Integration and Smart Applications

• Cloud integration using AWS IoT / Microsoft Azure

• Web and mobile app development for real-time monitoring

• End-to-end IIoT system implementation

• Performance and security testing

📅 Week 5: Real-World Case Studies and Projects

• Industry examples: smart factories, remote monitoring, energy optimization

• Advanced project execution

• 🧑‍🏫 Final project presentation and evaluation

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