Duration: 5 Days
Delivery Mode: Onsite / Online / Hybrid
Level: Advanced / Technical & Strategic
Certification: Available upon completion

Introduction

Digital Twin Technology is revolutionizing the construction industry by bridging the physical and digital worlds. Through real-time data integration, simulation, and analytics, digital twins enable smarter planning, execution, and management of construction projects across the lifecycle—from design to decommissioning. This course equips professionals with the technical knowledge and strategic foresight to implement, manage, and leverage Digital Twin solutions for high-impact, future-ready construction.

Course Objectives

By the end of this course, participants will:

• Understand the core principles and architecture of Digital Twin technology

• Learn how to integrate Digital Twin with BIM, IoT, AI, and GIS in construction environments

• Apply Digital Twin for lifecycle monitoring, predictive maintenance, and construction sequencing

• Gain insights into using digital twins for risk mitigation, cost control, and sustainability

• Develop implementation strategies for smart infrastructure and mega projects

• Explore real-world case studies and simulations for applied learning

Who Should Attend?

This course is tailored for:

• Civil, Structural, and Construction Engineers

• Project and Construction Managers

• BIM Managers and VDC Specialists

• Urban Planners and Smart City Developers

• Infrastructure and Asset Managers

• Digital Transformation Leaders in AEC

• Technology Consultants in Construction

Course Outline

Day 1 – Foundations of Digital Twin in Construction

• Digital Twin vs BIM: Key differences and integrations

• Core components: Data models, sensors, analytics, cloud platforms

• Use cases in infrastructure, buildings, and mega projects

• Overview of Digital Twin lifecycle and data flow

• Industry 4.0 and Digital Twin convergence

Day 2 – Technology Ecosystem & Integration

• IoT, sensors, and data capture in real time

• Integration with BIM (Building Information Modeling)

• Cloud computing and edge platforms (Azure Digital Twin, Siemens, Dassault)

• Role of AI and ML in predictive analytics

• Geospatial data integration (GIS + DT)

Day 3 – Application Across Construction Phases

• Pre-construction: Site analysis and simulation

• Design coordination and clash detection

• Real-time monitoring during execution

• Digital twin for safety management and predictive planning

• Post-construction: Commissioning, handover, and FM

Day 4 – Strategy, Risk, and Sustainability

• Cost, schedule, and risk optimization via simulations

• Sustainability tracking (carbon, energy, waste analytics)

• Cybersecurity and data governance in DT systems

• Digital Twin maturity model and roadmap

• Change management and digital transformation in organizations

Day 5 – Case Studies, Simulation, and Action Planning

• Global best practices: Smart cities, airports, tunnels, industrial plants

• Workshop: Creating a simplified digital twin model

• Stakeholder collaboration and data alignment

• Business case development for DT implementation

• Final Q&A, reflection, and certification

Certification

Upon successful completion, participants will receive a Certificate of Achievement from a recognized training institution. Custom corporate workshops and certifications from international partners (e.g., Autodesk, Bentley, Microsoft) are also available