The Industrial Internet of Things (IIoT) is transforming industries by enabling smarter, more efficient, and data-driven operations. As industries adopt digital solutions to optimise processes and increase productivity, the demand for skilled IIoT developers continues to rise.

This training empowers participants to build industrial IoT solutions confidently, ensuring they are ready to tackle real-world challenges.

What you will learn:

• The fundamental principles of Industrial IoT and its architecture
• Key differences between IoT and Industrial IoT, along with Industry 4.0 concepts
• Understanding and implementing industrial communication protocols like OPC UA, MQTT, and Modbus TCP/IP
• Configuring and managing IIoT platforms such as ThingsBoard CE
• Sensor integration and data acquisition strategies
• Implementing edge computing for real-time processing and analytics
• Building dynamic dashboards for data visualization and analytics

• Ensuring industrial system security and production-ready deployments

IIoT Foundations & Platform Introduction

• Industrial IoT Architecture
• Communication Protocols & Platform Setup

Sensors, Data Acquisition & Device Management

• Industrial Sensors
• Platform Device Management

Edge Computing & Real-time Processing 

• Edge Computing Architecture
• Data Processing & Rules

Data Management, Visualization & Analytics

• Data Management 
• Analytics Implementation

System Integration & Production Deployment

• System Integration

• Security & Production Deployment

• Gain a foundational understanding of Industrial IoT, its architecture, and its role in Industry 4.0.
• Learn to implement industrial communication protocols, including OPC UA, MQTT, and Modbus TCP/IP.
• Develop hands-on expertise in configuring and managing ThingsBoard CE for IIoT applications.
• Master sensor integration techniques and data acquisition strategies for industrial environments.
• Implement edge computing solutions using platforms like Node-RED and ThingsBoard rule engines.
• Create advanced dashboards for real-time monitoring, analytics, and reporting.
• Explore predictive maintenance, performance monitoring, and quality analytics.
• Deploy secure production systems with robust backup, recovery,and optimization strategies.

• Integrate IIoT solutions with enterprise systems such as MES, ERP, and SCADA.

Presentation and practical exercises