AI in Real Estate & Smart Cities Course | Trajlon Group

Course image

AI in Real Estate & Smart Cities

Course Type

Short Course

Category

AI

Duration

5 Days

Ratings

Training Objectives

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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.

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

Course Outline

Introduction to Artificial Intelligence, machine learning, and data analytics Digital transformation in real estate and urban systems Data-driven decision-making in the built environment Overview of AI applications in property and city management Opportunities and limitations of AI adoption in emerging cities

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

AI-supported land-use and spatial planning Traffic management, mobility analytics, and intelligent transport systems Infrastructure planning and capacity forecasting Urban growth modelling and scenario analysis Integrating AI into GIS and planning tools

AI in utilities management (water, energy, waste) Smart lighting, public safety, and environmental monitoring Digital service delivery and citizen engagement platforms Real-time city dashboards and performance monitoring Enhancing efficiency and service quality in municipalities

Climate-smart urban planning and resilience modelling Energy efficiency and emissions monitoring in buildings Disaster risk reduction and early-warning systems ESG data analytics and sustainability reporting Supporting green buildings and sustainable cities

Urban data governance and interoperability Privacy, surveillance, and citizen data protection Bias, inclusion, and equitable urban development Ethical use of AI in public spaces Regulatory frameworks and oversight mechanisms

Assessing readiness for AI adoption Integrating AI into legacy urban and property systems Change management and skills development Public–private partnerships and vendor management Financing models and investment appraisal

Generative AI and automation in urban management Digital twins and smart infrastructure modelling AI-enabled affordable housing and inclusive cities Regional and global case studies Preparing cities for rapid urbanization and future challenges

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

Download Brochure!

Download this comprehensive brochure to explore the course overview, discover the key skills and knowledge you will gain, and review the detailed course outline – all conveniently accessible offline. Feel free to share this informative resource with colleagues and others who may benefit from this learning opportunity.

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Duration:5 Days
Modules:8
Traininglive classes
Group discount:Yes
Language:English

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AI in Real Estate & Smart Cities Course | Trajlon Group