Course Description
The Industrial Internet of Things (IIoT) provides the sensing and connectivity foundation on which modern predictive maintenance and asset performance management are built. This course develops a practical understanding of how IIoT and data analytics enable data-driven maintenance.
Participants learn IIoT architecture — sensors, connectivity protocols (LoRa, NB-IoT, OPC UA), edge and cloud computing — and how the resulting data is processed and analysed to support maintenance decisions. The course connects the hardware and connectivity layers with the analytics that turn raw sensor data into actionable maintenance insight.
A dedicated focus on Edge AI shows how machine learning models are deployed directly on devices and gateways at the edge of the network, enabling real-time, low-latency decision-making with offline operation — critical where speed and reliability matter in industrial environments.
What you will achieve
By the end of this training course, participants will be able to:
- Explain Industrial IoT architecture and its role in maintenance
- Describe industrial sensors and what they measure
- Understand connectivity protocols (LoRa, NB-IoT, Zigbee, OPC UA)
- Explain edge and cloud computing for industrial data
- Design IIoT data collection for equipment monitoring
- Apply data analytics to maintenance data
- Integrate IIoT with control systems (PLC, SCADA) and CMMS
- Address IIoT cybersecurity and data governance
How the course is delivered
The course combines IIoT architecture explanation with practical examples of industrial data collection and analytics. Participants explore how sensors, connectivity, edge/cloud, and analytics combine into maintenance solutions.
The programme balances the hardware/connectivity layers with the analytics that deliver maintenance value.
Designed for
This training course is ideal for:
- Maintenance and reliability engineers
- Instrumentation and control engineers
- Digital transformation and Industry 4.0 teams
- Engineers implementing condition monitoring
- Technical staff building IIoT maintenance capability
Daily programme
- IIoT architecture and layers
- The role of IIoT in maintenance
- Industrial sensors and measurement
- Edge, fog, and cloud computing
- Connectivity protocols: LoRa, NB-IoT, Zigbee
- Industrial protocols: OPC UA, Modbus
- Data acquisition and gateways
- Integration with PLC and SCADA
- Processing industrial sensor data
- Analytics for maintenance insight
- Dashboards and visualisation
- From data to maintenance decisions
- Edge AI: running ML models on edge devices
- Real-time low-latency decisions at the edge
- Integrating IIoT with CMMS
- IIoT cybersecurity
- Data governance
- Case study workshop and review
Certification & accreditation
BII Certificate of Completion
BII Certificate of Completion Upon successful completion, participants receive a BII Development Institute Certificate of Completion with a unique reference code that is independently verifiable. Our certificates are recognised internationally and reflect successful completion of your chosen programme.
