Short Courses Beginner

AI in Real Estate & Smart Cities

57 hours
0 students
Added Apr 15, 2026
Course Overview:
This course provides advanced knowledge and practical skills on the application of Artificial Intelligence (AI) in real estate development, property management, urban planning, and smart city systems. It focuses on how AI-driven technologies can enhance planning, valuation, operations, sustainability, and decision-making across the built environment and urban infrastructure.
Participants will gain the capacity to apply AI responsibly to improve efficiency, livability, resilience, and sustainability in real estate markets and city systems—particularly within rapidly urbanizing and emerging market contexts.
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Learning Objectives:
By the end of this course, participants will be able to:
Understand core AI concepts and their relevance to real estate and smart cities
Apply AI tools to property valuation, development planning, and asset management
Use AI-driven analytics to support urban planning, mobility, and infrastructure decisions
Enhance decision-making across real estate portfolios and city systems using predictive insights
Address governance, ethical, and data privacy challenges in AI-enabled urban environments
Support digital transformation and innovation in real estate and urban management
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Target Audience:
Real estate developers and property managers
Urban planners and city administrators
Municipal officials and local government officers
Infrastructure and housing policy makers
Smart city and urban technology professionals
Architects, engineers, and built-environment specialists
Utilities, transport, and public service managers
Senior executives and decision-makers in real estate and urban development

Who Should Take This Course

This course is ideal for beginners and those new to the field. No prior experience is required.

Course Content

  • Introduction to Artificial Intelligence, machine learning, and data analytics
    4 min
  • Digital transformation in real estate and urban systems
    6 min
  • Digital transformation in real estate and urban systems
    6 min
  • Overview of AI applications in property and city management
    5 min
  • Opportunities and limitations of AI adoption in emerging cities
    6 min

  • AI-assisted site selection and development feasibility analysis
    6 min
  • Automated property valuation and market forecasting
    6 min
  • Smart buildings and intelligent facilities management
    5 min
  • Tenant analytics, leasing optimization, and customer experience
    6 min
  • Predictive maintenance and lifecycle asset management
    5 min

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