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    الهندسة المدنية والبناء
    19843

    AI and Data Analytics in Construction

    15-09-2025 To 19-09-2025
    Dubai
    civil eng and construction

    The construction industry is rapidly embracing AI and data-driven technologies to improve forecasting, mitigate risks, optimize resources, and enhance productivity. This course explores how AI applications and data analytics tools are being integrated into construction management, BIM systems, cost estimation, and safety compliance. Participants will learn to apply predictive models, visualize data, automate workflows, and generate insights that drive smarter, faster, and more accurate construction decisions.

    Date :
    From 15 Till 19 Sep. 2025
    City :
    Dubai
    Fees :
    4500
    • Date City Fees
    Date :
    From 15 Till 19 Sep. 2025
    City :
    Dubai
    Fees :
    4500
    • Date City Fees

    Overview

    To equip construction professionals with the knowledge and skills to leverage Artificial Intelligence (AI) and Data Analytics in enhancing project planning, monitoring, decision-making, and operational efficiency across the construction lifecycle.

    The construction industry is rapidly embracing AI and data-driven technologies to improve forecasting, mitigate risks, optimize resources, and enhance productivity. This course explores how AI applications and data analytics tools are being integrated into construction management, BIM systems, cost estimation, and safety compliance. Participants will learn to apply predictive models, visualize data, automate workflows, and generate insights that drive smarter, faster, and more accurate construction decisions.

    Who Should Attend

    Target Group:

    • Construction Project Managers and Engineers
    • Planning and Scheduling Professionals
    • BIM Coordinators and Digital Construction Teams
    • Construction Analysts and Data Specialists
    • Contractors, Consultants, and Developers
    • Technology and Innovation Officers in AEC firms
    • Understand the fundamentals of AI and data analytics in a construction context
    • Identify data sources and collection methods in construction projects
    • Learn how to use analytics and predictive modeling for risk, cost, and schedule optimization
    • Explore AI tools for automation, resource planning, and quality control
    • Apply dashboards and visualization tools to enhance decision-making and communication
    • Data literacy and analytical thinking for construction
    • Digital project performance monitoring
    • AI-based planning and forecasting
    • Construction technology integration
    • Strategic decision-making using data insights

    Introduction to AI and Data Analytics in Construction

  • Overview of AI, machine learning, and data analytics in the built environment
  • Evolution of digital construction and Industry 4.0
  • Key benefits and challenges of AI adoption in construction
  • Use cases across project stages: design, execution, and operations
  • Ethics and data privacy considerations

    • Data Collection and Management on Construction Sites

  • Sources of data: IoT, sensors, drones, BIM, ERP systems
  • Structuring and cleaning construction data
  • Real-time data acquisition and integration
  • Cloud-based data storage and security
  • Introduction to Construction Data Ecosystems

    • Contact Us

    For each learning and development project we establish strong relationships and effective communication with partners.
    Don't hesitate to contact us.