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    الهندسة المدنية والبناء
    19950

    The Impact of AI on Engineering Projects

    10-11-2025 To 14-11-2025
    Dubai
    civil eng and construction

    This advanced training course explores the disruptive influence of AI across various phases of engineering projects. Participants will gain strategic and technical perspectives on integrating AI into project workflows — from generative design and risk prediction to autonomous systems and maintenance optimization. Through real-world examples, the course highlights how AI reshapes project delivery models, stakeholder collaboration, and long-term value creation in the engineering domain.

    Date :
    From 10 Till 14 Nov. 2025
    City :
    Dubai
    Fees :
    4500
    • Date City Fees
    Date :
    From 10 Till 14 Nov. 2025
    City :
    Dubai
    Fees :
    4500
    • Date City Fees

    Overview

    To provide engineering professionals with deep insights into how Artificial Intelligence (AI) is transforming the planning, design, execution, and maintenance of engineering projects, enabling data-driven decisions, predictive capabilities, and enhanced project efficiency.

    This advanced training course explores the disruptive influence of AI across various phases of engineering projects. Participants will gain strategic and technical perspectives on integrating AI into project workflows — from generative design and risk prediction to autonomous systems and maintenance optimization. Through real-world examples, the course highlights how AI reshapes project delivery models, stakeholder collaboration, and long-term value creation in the engineering domain.

    Who Should Attend

    Target Group

    • Engineering project managers and directors
    • Civil, mechanical, electrical, and infrastructure engineers
    • Data scientists in AEC fields
    • Digital transformation leaders in engineering firms
    • Consultants, designers, and technical advisors
    • Understand AI technologies relevant to engineering and infrastructure
    • Explore applications of AI in project planning, design, and construction
    • Assess AI’s role in risk management, quality control, and safety prediction
    • Leverage machine learning for project forecasting and optimization
    • Evaluate ethical, legal, and governance considerations in AI integration
    • Apply AI-based tools to enhance project decision-making and ROI
    • AI integration in engineering lifecycle
    • Data-driven decision-making and optimization
    • Strategic application of predictive analytics
    • Awareness of AI ethics and compliance
    • Use of AI tools for quality, time, and cost efficiency

    Foundations of AI in Engineering Context

  • Introduction to AI, ML, and deep learning
  • Data types in engineering: structured, unstructured, and IoT
  • AI capabilities in the AEC industry
  • AI vs. traditional analytics: efficiency and accuracy
  • Platforms and tools used in AI-driven engineering

    • AI in Project Design and Planning

  • Generative design and optimization techniques
  • AI-supported scheduling and planning
  • Integration of BIM and AI for smart design
  • Forecasting project timelines using machine learning
  • AI in clash detection and spatial coordination

    • Contact Us

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