IoT & Sensor Basics
Master the physical layer of the Smart Factory and the technical protocols required to extract data from legacy industrial hardware.
Five modules empower you to install and configure IIoT sensors on non-digital equipment, bridge legacy PLCs to modern networks, and secure the data pipelines that feed your facility's autonomous decision-engines.
Start Dates
17 March 2026
17 April 2026
12 May 2026
Level
Beginner
Duration
8 hours total
2 weeks training (online/classroom Vaduz)
1 full day (on-site)
Language
English or German (customer's choise)
Course Fee
CHF 950 (online/classroom Vaduz)
CHF 1250 (on-site)
(including all materials and certificate)
Certificate
Industrial IoT Specialist (Level I)
Course Outline
This hands-on session resolves "Data Silence" by providing the technical framework to digitally transform older hardware.
The curriculum focuses on sensor selection, mounting physics, and protocol bridging, enabling technicians to build a secure, real-time data heartbeat that connects legacy shop-floor machinery directly to modern AI and database systems.
The Problem Solved
Eliminating Data Silence: We resolve the isolation of legacy machinery through physical and digital extraction. We provide the technical knowledge required to install, connect, and verify sensors on non-digital equipment to ensure 100% accurate data flow.
Key Skills & Competencies
1. Sensor Selection: Matching hardware to heat, pressure, and vibration requirements.
2. Protocol Bridging: Mastering Modbus, OPC-UA, and MQTT for legacy systems.
3. Pipeline Integrity: Ensuring seamless data flow from sensor to database.
Course Modules
1. Sensor Physics: What to measure and where to mount. Mastering the physical sensing layer.
2. Connecting the Legacy: Bridging old PLCs to modern networks. Unlocking data from brownfield assets.
3. IIoT Gateways: Hardware selection for sovereign data. Configuring the bridge between OT and IT.
4. Real-Time Streaming: Setting up the factory heartbeat. Managing continuous data pipelines.
5. Troubleshooting the Edge: Fixing data drops at the source. Maintaining local hardware reliability.
Learning objectives and format
By the end of the course, you will be able to master the selection of industrial sensors and the configuration of modern IIoT gateways.
You’ll navigate five modules covering sensor physics, protocol bridging, and real-time streaming, transforming silent legacy machines into active participants in the digital factory ecosystem.
Key Objectives
- Evaluate and select sensors based on industrial environmental constraints
- Implement protocol bridges using Modbus, OPC-UA, and MQTT for heterogeneous hardware
- Configure IIoT gateways to ensure secure and sovereign data handling from the edge
- Design a resilient data pipeline from physical mounting to cloud-based ingestion
- Troubleshoot connectivity and data integrity issues at the source on the shop floor
- Establish real-time data streams to support predictive maintenance and OEE monitoring
Learning Format
- Analyze physical sensor mounting techniques for various industrial machine types
- Visualize the protocol translation path from legacy PLC logic to MQTT streams
- Identify optimal sensor placement points within your specific factory equipment
- Draft a hardware configuration plan for a legacy asset's digital integration
- Test data pipeline integrity using real-time edge-computing simulations
- Complete the final assessment to earn your Industrial IoT Specialist certificate
Who is this course for?
Prerequisites
Basic understanding of electrical systems or industrial maintenance.
Target Audience
Maintenance Technicians, Automation Engineers, and Shop Floor Workers responsible for machine upgrades.
