A Highly Interactive Training Course On

AI in Urban Planning and Infrastructure Development: Smart Solutions for Sustainable Cities

Leveraging Artificial Intelligence to Enhance Urban Development, Infrastructure Resilience, and Smart City Planning

AI in Urban Planning and Infrastructure Development: Smart Solutions for Sustainable Cities
Course Schedule

CLASSROOM

07-11 Jul 2025
Istanbul
$5,950
29 Sep-03 Oct 2025
Dubai
$5,950
15-19 Dec 2025
Dubai
$5,950
06-10 Apr 2026
Dubai
$5,950
Certificate
  • Coventry Academy Certificate of Attendance will be provided to delegates who attend and complete the course

Training Overview

Training Overview

Urbanization is rapidly reshaping cities across the globe, creating both opportunities and challenges in sustainable development, infrastructure resilience, and resource optimization. As urban environments grow more complex, innovative solutions are needed to balance economic progress, environmental sustainability, and social equity.

Artificial Intelligence (AI) is at the forefront of transforming urban planning and infrastructure development by offering data-driven insights, predictive analytics, and automation that improve decision-making. AI technologies enable city planners, engineers, and policymakers to optimize key areas such as transportation, energy systems, land use, and public services, enhancing overall urban efficiency. From smart mobility and traffic management to AI-driven climate resilience and disaster response, AI is playing a pivotal role in shaping the cities of the future.

The AI in Urban Planning and Infrastructure Development: Smart Solutions for Sustainable Cities training course focuses on the latest AI applications in urban development. Participants will explore how machine learning, big data, and real-time analytics can drive smarter, more sustainable cities. Through hands-on experience, attendees will learn to apply AI for optimizing infrastructure, managing smart city governance, and creating predictive urban models. By integrating AI-driven strategies, professionals will be equipped to build cities that are resilient, adaptable, and people-centered.

This course is designed for urban planners, engineers, policymakers, and smart city developers looking to unlock the potential of AI in reshaping urban environments. With a mix of case studies, interactive exercises, and expert-led discussions, participants will gain a solid understanding of AI’s role in advancing urban planning and infrastructure development.

What are the goals?

By the end of this training course, participants will be able to:

  • Understand the role of AI in modern urban planning and infrastructure development
  • Explore AI-driven tools and techniques for smart city solutions
  • Utilize data analytics and machine learning for predictive urban growth and sustainability
  • Optimize transportation networks, energy systems, and public services using AI
  • Implement AI-based strategies for climate resilience and environmental planning
  • Address ethical, legal, and governance challenges in AI-driven urban development

Who is this Training Course for?

This training course is suitable to a wide range of professionals but will greatly benefit:

  • Urban planners and city administrators
  • Civil and infrastructure engineers
  • Government policymakers and regulators
  • Smart city developers and technology consultants
  • Real estate and land-use professionals
  • Environmental and sustainability specialists
  • Academics and researchers in urban studies and AI

How will this Training Course be Presented?

This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.

The Course Content

Day One: Introduction to AI in Urban Planning
  • Overview of AI applications in city development
  • AI-driven decision-making in land use and zoning
  • The role of IoT, big data, and machine learning in smart cities
  • Case studies of AI-powered urban transformation
Day Two: AI for Sustainable Infrastructure Development
  • AI applications in transportation planning and mobility management
  • Smart grids and AI-driven energy optimization
  • AI-powered water and waste management systems
  • Climate adaptation and disaster resilience through AI
Day Three: Data-Driven Urban Planning and Predictive Modeling
  • GIS, remote sensing, and AI for spatial analysis
  • AI for real-time traffic congestion management
  • Predictive analytics for urban growth and development
  • AI-enhanced environmental impact assessments
Day Four: AI in Public Services and Smart Governance
  • AI for public safety, security, and surveillance
  • AI applications in healthcare and emergency response in cities
  • Digital twins and AI-based city simulations
  • Ethical considerations and governance of AI in urban planning
Day Five: Future Trends and Implementation Strategies
  • Integrating AI into existing urban planning frameworks
  • AI for real estate market predictions and land valuation
  • Blockchain and AI for urban data security and transparency
  • Developing AI implementation roadmaps for sustainable urban growth

Providers and Associations

Anderson
Anderson
Aztech Training
Aztech Training