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Artificial Intelligence (AI) in Real Estate Development and Facility

Dates Venues Register
22/11/2026 - 26/11/2026 KUALA LUMPUR

Introduction

Artificial Intelligence (AI) in Real Estate Development and Facility

 

Objectives

At the end of this training course, you will learn to:

  • Understand and utilize cutting-edge AI tools like Chat GPT and Microsoft Copilot in real estate development and facilities management.
  • Apply practical skills in AI technologies embedded within design software to optimize real estate processes.
  • Strategically integrate AI to enhance decision-making, efficiency, and project outcomes.
  • Develop a mindset of continuous innovation to stay ahead in the dynamic real estate industry.
  • Promote smarter, more sustainable development practices in real estate and facilities management.
  • Combine theoretical knowledge with hands-on experience to gain a comprehensive understanding of AI's role in the industry.

Who should Attend?

  • Urban planners
  • Architects
  • Designers
  • Road and Traffic Engineers
  • GIS specialists, striving to automate data processing through innovative AI-driven solutions.
  • Technology consultants, advising clients on cutting-edge AI developments in land surveying.
 
Course Outline
Day 1

Introduction to AI and Urban Planning

  • Introduction to AI: History, key concepts, and terminology.
  • Overview of AI in real estate: Impact and case studies with ChatGPT.
  • AI-Powered Property Valuation: Techniques and tools.
  • Market Analysis: Using AI for market trends and decisions.
  • Workshop: Hands-on with ChatGPT and Microsoft Copilot.
Day 2

AI Applications in Real Estate Development

  • Streamlining Development: How AI impacts real estate development.
  • Smart Building Technologies & Facility Management: Enhancing efficiency with AI.
  • Predictive Maintenance: Preventing issues with AI.
  • Group Project: AI solution design for a real estate project.
  • ChatGPT into real estate evaluation
Day 3

Advanced AI Techniques

  • Deep Learning: Concepts and applications
  • Natural Language Processing (NLP): Techniques and use cases.
  • Computer Vision: Applications in real estate.
  • Workshop: Implementing advanced AI techniques in projects.
  • Review of identified solutions in workshop
Day 4

AI in Marketing and Ethical Considerations

  • AI in Marketing: Innovative strategies for real estate.
  • Data Privacy: Ensuring ethical use of AI.
  • Bias in AI: Identifying and mitigating potential issues.
  • Case Studies: Successful AI-driven marketing campaigns.
  • Discussion: Ethical implications of AI in real estate.
Day 5

Future Trends and Course Wrap-Up

  • Emerging Technologies: Exploring the future impact on real estate.
  • Integration of AI with IoT: Opportunities and challenges.
  • AI and Blockchain: Revolutionizing property transactions.
  • Panel Discussion: Insights from industry leaders.
  • Course Wrap-Up: Recap and reflections.
  • Q&A Session: Addressing participant questions.

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