IoT & Digital Twin Hands-On Workshop
Connect real sensors. Stream live data. Build a working digital twin — in one day.
A practical, build-as-you-learn intensive for engineers who want results, not slides.
What You'll Build & Learn
By the end of the day every participant will have hands-on experience with a complete sensor-to-twin pipeline.
Sensor Integration
Configure physical IoT sensors and connect them via MQTT to a cloud or local broker in real time.
Live Data Pipelines
Design and deploy an event-driven pipeline that streams telemetry from edge to twin model.
Digital Twin Modelling
Build a lightweight digital twin that reflects live sensor state and updates in sub-second latency.
Dashboard Visualisation
Create a real-time monitoring dashboard displaying twin state, KPIs, and anomaly alerts.
Anomaly Detection
Apply threshold and rules to detect out-of-range conditions and trigger automated alerts.
Cloud & Edge Deployment
Deploy the finished pipeline on both cloud (AWS IoT / Open Source).
Full-Day Agenda
A tightly structured day mixing short concept bursts with extended hands-on labs. No death-by-slides.
| Welcome & Orientation Overview | Goals for the day, toolchain setup, hardware kit walkthrough | |
| IoT Sensor Fundamentals Theory | Sensor types, calibration, MQTT protocol, broker architecture | |
| Lab 1 – Connect & Stream Hands-On | Wire up sensors, configure gateway, publish live telemetry to broker | |
| Break 15 min | ||
| Digital Twin Architecture Theory | Twin typologies, state-sync patterns, real-time pipeline design | |
| Lab 2 – Build Your Twin Hands-On | Ingest live telemetry into a twin model; observe state updates in real time | |
| Lunch 45 min | ||
| Visualisation & Dashboards Theory | Dashboard design principles, KPI selection, alert visualisation | |
| Lab 3 – Live Dashboard Hands-On | Build a real-time monitoring UI driven by your twin's live data stream | |
| Break 15 min | ||
| Anomaly Detection & Alerting Theory | Threshold rules, basic ML anomaly models, alert routing | |
| Lab 4 – Alerts & Deployment Hands-On | Add anomaly detection rules; deploy pipeline to cloud and edge targets | |
| Showcase & Wrap-Up Review | Each team demos their working pipeline; Q&A, next-step recommendations | |
| Close |
Topics Covered
IoT & Connectivity
- Sensor selection, wiring & calibration
- MQTT protocol & broker configuration
- LoRaWAN/WiFi and OPC-UA overview
- Edge gateway & firmware
- Security hardening at the edge
- Cloud ingestion
Digital Twin & Analytics
- Digital twin architecture patterns
- Real-time state sync & event-driven updates
- Twin modelling with live IoT telemetry
- 3D & dashboard visualisation of live assets
- Anomaly detection & alerting
- End-to-end deployment on cloud
Who Should Attend
IoT Engineers
Embedded, firmware, or gateway engineers who want to extend their skills into the Digital Twin layer.
Digital Twin Practitioners
Modellers or simulation engineers looking to connect their twin to live physical sensor data.
Systems Integrators
Engineers who design and deliver end-to-end industrial solutions for clients across any sector.
Prerequisites
No prior Digital Twin experience needed. Participants should be comfortable with the following:
Ready to Book?
This workshop is delivered on-site at your premises or remotely via interactive platform.
Training is bespoke — shaped around your technology stack and industry context.