A facility is only as observable as its monitoring strategy — and most downtime incidents were technically visible in the data well before they became outages. This course covers sensor deployment and calibration, network monitoring fundamentals, BMS architecture, data analytics and predictive modeling, and dashboard design.
Hands-on labs cover monitoring tool training, data visualization, and alert tuning — because a monitoring system that generates too many false alerts gets ignored, and one that's too quiet misses real problems.
You'll leave with a monitoring strategy framework built to reduce downtime, not just generate reports: the right sensors, the right thresholds, and dashboards that surface what actually matters.
What You'll Learn
- Deploy and calibrate sensors for accurate facility monitoring
- Design a BMS architecture that scales with facility complexity
- Apply data analytics and predictive modeling concepts to catch failures early
- Build automation scripting basics into routine monitoring tasks
- Design dashboards and alerting that reduce noise without missing real issues
Course Modules
Sensor Deployment & Calibration
Getting accurate, reliable sensor data before you build anything on top of it.
Network Monitoring Fundamentals
Monitoring the network infrastructure that connects facility systems.
Building Management System Architecture
How BMS platforms are structured, and where the architecture choices matter.
Data Analytics & Predictive Modeling
Using historical data to predict failures before they happen.
Automation Scripting Basics
Automating routine monitoring and response tasks.
Dashboard Design & Reporting
Building dashboards that surface signal, not noise.
Who This Course Is For
Audience: Facilities engineers and technicians responsible for building management and monitoring systems.