A building that reports a temperature drift before anyone feels it, or flags a failing pump days before it actually fails, isn't science fiction anymore — it's what happens when Smart Buildings replace passive infrastructure with systems that sense, learn, and respond. The technology exists; what most facilities teams lack is a working understanding of how to actually manage it.

The Smart Buildings and Digital Facilities Management Technologies training course, delivered by Arab British Fellowship Training Academy, demystifies that stack — IoT sensors, the BMS that acts on their data, digital twin models, layered automation, and the building analytics that turn all of it into decisions leadership can actually use.

Who Should Attend?

• Facilities and building operations managers
• Digital transformation leads in facilities management
• BMS and automation engineers
• Sustainability and energy managers

What You'll Gain

• Explain what genuinely defines a smart building beyond marketing language
• Understand how IoT sensor networks capture and transmit building data
• Configure a BMS and its automation layer to optimize performance and energy use
• Evaluate where digital twin technology adds real value across design and operations
• Use building analytics to detect anomalies and predict failures
• Build and justify a phased roadmap for smart building adoption

Module 1: The Building That Called in Its Own Fault

• What actually defines a smart building, beyond the marketing language
• The business case for digital facilities management technologies
• How smart buildings change the role of the facilities manager

Module 2: The Sensor Layer: IoT and Connected Building Systems

• How IoT sensors capture temperature, occupancy, energy, and equipment data
• Network architecture and connectivity considerations
• Common pitfalls in IoT deployment across large facilities

Module 3: One Control Point: BMS and Automation Working Together

• Core functions of a modern BMS and how it integrates HVAC, lighting, and security
• Where automation delivers the strongest operational returns
• Balancing automated control with human oversight

Module 4: Modeling the Building Before You Touch It: Digital Twin Technology

• What a digital twin is and how it differs from a static building model
• Applications across design, operations, and maintenance
• Building the data foundation a digital twin depends on

Module 5: From Data to Decisions: Building Analytics in Practice

• Turning raw building data into actionable insight
• Using analytics to detect anomalies and predict equipment failure
• Building a data governance approach that keeps analytics trustworthy

Module 6: Planning and Justifying a Smart Building Transformation

• Assessing readiness and prioritizing technology investments
• Sequencing a phased rollout of smart building technologies
• Measuring return on investment and operational impact