An Interactive 5-Day Training Course

Artificial Intelligence in Land and Surveying

Revolutionizing Land Surveying with AI

Artificial Intelligence in Land and Surveying

Course Overview

This training course is tailored for professionals eager to integrate advanced AI-driven technologies into land surveying practices. As the field of land surveying evolves, Artificial Intelligence (AI) is reshaping traditional methodologies by enhancing accuracy, efficiency, and data processing capabilities. This training course provides a comprehensive exploration of AI applications in land surveying, equipping participants with the knowledge and skills to utilize intelligent systems for improved data collection, analysis, and decision-making.

Through a combination of theoretical insights and hands-on experience, participants will learn how AI-driven tools such as machine learning, neural networks, and autonomous drones are transforming surveying techniques. The training course covers key areas, including the integration of AI with Geographic Information Systems (GIS), the application of ChatGPT for enhanced surveying insights, predictive modeling for land use planning, and the automation of survey data processing. By the end of the training course, attendees will have the expertise to drive technological advancements within their organizations and remain at the forefront of a rapidly changing industry.

This Artificial Intelligence in Land and Surveying training course will highlight:

  • Utilization of drones for routine surveying operations
  • AI-driven data processing techniques
  • Application of ChatGPT in land surveying
  • Advanced insights into terrain and feature analysis
  • Predictive modeling for landscape changes and future trends
  • Automation of survey data interpretation through AI

Training Objectives

By the end of this Artificial Intelligence in Land and Surveying training course, participants will be able to:

  • Grasp the foundational concepts of AI and its practical applications in land surveying.
  • Integrate AI-driven technologies with GIS to enhance data accuracy and visualization.
  • Utilize predictive modeling techniques to improve land use planning and resource management.
  • Understand the role of machine learning and neural networks in automating survey data processing.
  • Implement autonomous drone technology for efficient surveying and feature recognition.

Who should Attend?

This Saudi GLOMACS Artificial Intelligence in Land and Surveying training course is suitable to a wide range of professionals but will greatly benefit:

  • Professionals in the land surveying industry, seeking to integrate AI techniques for enhanced efficiency and accuracy.
  • Geospatial Analysts, looking to upskill in predictive modeling and machine learning applications.
  • Urban Planners and Land Use Officers, aiming to harness AI for better planning and decision-making.
  • Survey Engineers, interested in the latest advancements in autonomous surveying technologies.
  • GIS Specialists, striving to automate data processing through innovative AI-driven solutions.
  • Technology Consultants, advising clients on cutting-edge AI developments in land surveying.

About Saudi Glomacs

At Saudi GLOMACS, we specialize in delivering world-class training courses in Saudi Arabia and across various international locations. Our training courses are tailored to meet the unique demands of Saudi Vision 2030 and the Human Capability Development Program, focusing on empowering Saudi citizens and enhancing workforce skills. We offer diverse courses spanning leadership, management, engineering, and technical disciplines to cultivate expertise and drive professional growth. Our flexible learning options—whether in-person, online, or in-house—ensure accessibility and convenience for individuals and organizations alike.

With over 30+ years of experience through the GLOMACS global network, we are committed to delivering innovative, results-driven training solutions. Our expert instructors combine industry knowledge with dynamic teaching methods, fostering practical skill development and long-term career success. By choosing Saudi GLOMACS, you're investing in personal excellence and contributing to the Kingdom’s sustainable economic growth and vision-driven transformation.

Training Outline

  • Overview of AI and Automation
  • Drone Usage in Surveying
  • Basics of Data Acquisition & Post-processing
  • Component Accuracy & Error Parameters
  • Laser Scanner Errors & Calibration Techniques
  • Hands-on Session: Error Analysis and Correction Methods
  • Conducting Topographic Surveys
  • Applications in Infrastructure & Environmental Monitoring
  • AI-Driven Data Processing Techniques
  • Deep Dive into Pattern Recognition & Predictive Analysis
  • Utilizing ChatGPT in Predictive Analysis
  • Techniques for Object & Change Detection
  • Emerging Trends in AI for Surveying Tasks
  • Ethical Implications of Using AI and Automation
  • Data Privacy and Security Concerns
Certificates
  • On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates
  • Continuing Professional Education credits (CPE) : In accordance with the standards of the National Registry of CPE Sponsor, one CPE credit is granted per 50 minutes of attendance
Accreditation

GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.

All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.

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Sessions in international locations

Venue: New York - USA
Fee: US $6,950
Date: 04-08 Aug 2025
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Venue: Dubai - UAE
Fee: US $5,950
Date: 17-21 Nov 2025
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Venue: Milan - Italy
Fee: US $5,950
Date: 19-23 Jan 2026
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Venue: London - UK
Fee: US $5,950
Date: 13-17 Apr 2026
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Venue: New York - USA
Fee: US $7,950
Date: 03-07 Aug 2026
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Venue: Dubai - UAE
Fee: US $5,950
Date: 16-20 Nov 2026
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Online Sessions

Venue: Online
Fee: US $3,950
Date: 15-19 Jun 2026
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