An Interactive 5-Day Training Course

Artificial Intelligence (AI) in Urban Planning

Strengthen the ability to apply artificial intelligence to urban planning, supporting more informed, efficient and responsive decisions. This training course builds practical capability to assess and use AI-enabled approaches in planning processes while addressing urban development needs.

Target Audience

Urban Planner
Transport Planner
Urban Designer
GIS Analyst
Planning Policy Officer
Development Control Officer

Course Schedule

7 sessions

23 - 27 Nov 2026

Online

$4,950

01 - 05 Feb 2027

Online

$4,950

14 - 18 Jun 2027

Online

$4,950

14 - 18 Jun 2027

London

$5,950

30 Aug - 03 Sep 2027

Amsterdam

$5,950

30 Aug - 03 Sep 2027

Online

$4,950

22 - 26 Nov 2027

Online

$4,950

23 - 27 Nov 2026

Online

$4,950

01 - 05 Feb 2027

Online

$4,950

14 - 18 Jun 2027

Online

$4,950

14 - 18 Jun 2027

London

$5,950

30 Aug - 03 Sep 2027

Amsterdam

$5,950

30 Aug - 03 Sep 2027

Online

$4,950

22 - 26 Nov 2027

Online

$4,950

Prepare yourself for the Artificial Intelligence (AI) in Urban Planning course

The Artificial Intelligence (AI) in Urban Planning Course explores how AI technologies are transforming modern city design, planning, and management. As urban environments grow more complex, artificial intelligence provides planners, architects, and policymakers with the tools to interpret vast data sets, forecast trends, and optimize development for greater sustainability and efficiency.

This course introduces the integration of AI into all aspects of urban planning—from data analysis and predictive modeling to drone-based mapping and smart infrastructure design. Participants will learn how to apply AI-driven tools, including machine learning, neural networks, and ChatGPT, to enhance collaboration, accelerate decision-making, and improve spatial intelligence.

By mastering these techniques, professionals will be equipped to design cities that are smarter, more adaptive, and responsive to the needs of citizens—balancing innovation, sustainability, and ethical governance in the era of intelligent urban development.

The learning journey

Course Summary Outline

Day 1

Introduction to AI and Urban Planning

Day 2

AI Techniques and Tools for Urban Planning

Day 3

Future Trends and Ethical Considerations

Day 4

Advanced AI Applications in Urban Planning

Day 5

Policy, Regulation, and Communication

Key Learning Outcomes and Objectives?

This course empowers participants to apply AI technologies that improve planning accuracy, sustainability, and community impact. You will learn to:

Understand the role of AI and machine learning in modern urban planning
Apply predictive analytics for urban growth, traffic flow, and infrastructure design
Integrate drones and GIS data for enhanced mapping and terrain modeling
Utilize ChatGPT and similar AI tools for urban scenario analysis and communication
Develop ethical frameworks for responsible and transparent AI deployment
Optimize data processing and visualization to support smart city initiatives
Lead projects that align AI innovation with environmental and social objectives

The Excentra Learning Approach

This course combines interactive learning with practical application. Participants will engage in expert-led lectures, collaborative workshops, and project-based exercises designed to simulate real-world urban planning challenges. The curriculum includes live demonstrations of AI tools, predictive modeling techniques, and case studies from leading smart city projects around the world.

Through guided experimentation and peer collaboration, learners will develop both the technical knowledge and strategic vision needed to apply AI in planning resilient, inclusive, and sustainable cities. The AI Academy approach ensures participants leave with the capability to transform traditional planning methods into intelligent, data-driven frameworks for the future of urban design.

Excentra capability map

Six capabilities, and how far this course takes each one

Every Excentra course is mapped against the same six AI capabilities, so you can see at a glance what a course builds and compare it with any other in the catalogue.

Data Intelligence

Profile, clean and visualise urban, mobility and sensor datasets for planning use.

Intelligent Monitoring

Predictive indicators for urban growth and traffic, built, evaluated and defended on day five.

Document Intelligence

Summarise planning policy and consultation material with a language-model assistant.

Workflow & Agent Design

Guided exercises using an AI assistant across routine planning tasks.

Responsible Implementation

Ethics assessment, policy alignment and human oversight for AI-informed planning decisions.

Business Transformation

Stakeholder communication, community engagement and adoption planning for AI in your organisation.

Is This Course Right for You?

This AI in Urban Planning Course is designed for urban planners, architects, GIS specialists, and engineers seeking to incorporate artificial intelligence into city design and infrastructure planning. It also benefits policy advisors, smart city consultants, and data analysts working to shape sustainable and technologically advanced urban environments.

Participants will gain practical experience in applying AI to land-use planning, transportation modeling, and environmental analysis. Whether your goal is to optimize city layouts, enhance data-driven decision-making, or explore AI ethics in urban systems, this course provides the insight and frameworks to implement intelligent planning solutions effectively.

Frequently Asked Questions

The Artificial Intelligence (AI) in Urban Planning training course is intended for urban planners, architects, GIS specialists and engineers who want to incorporate AI into city design and infrastructure planning. It is also relevant to policy advisers, smart city consultants and data analysts shaping sustainable, technologically advanced urban environments. The content supports responsibilities involving land use, transport, environmental analysis, spatial intelligence, policy and data-driven decision-making.

Participants will learn how AI and machine learning can support modern urban planning, from analysing data to forecasting urban trends and communicating planning scenarios. The course covers predictive analytics, GIS and drone data, ChatGPT, data visualisation, smart infrastructure and responsible AI. It also explains how to align AI-enabled planning with sustainability, environmental objectives, social priorities and community needs.

The course explains how predictive analytics can be applied to urban growth, traffic flow and infrastructure design. Participants will examine predictive modelling and deep learning for interpreting patterns and forecasting changes within complex urban environments. This knowledge can help planning professionals evaluate development scenarios, anticipate infrastructure pressures and make better-informed land-use and transport decisions.

Participants will learn how drone-based mapping and GIS data can enhance urban mapping, terrain modelling and spatial analysis. The course connects these data sources with AI-supported planning processes to improve the interpretation of locations, physical conditions and development patterns. This is relevant to professionals responsible for site analysis, land-use planning, infrastructure design and environmental assessment.

The course covers the use of ChatGPT and similar AI tools for urban scenario analysis, communication and collaboration. Participants will learn how such tools can help organise information, explore planning options and communicate complex urban development issues more clearly. The emphasis is on using AI to support professional judgement and accelerate decision-making rather than replacing planning expertise or stakeholder input.

Yes, the course examines how AI connects with IoT, smart infrastructure and urban mobility systems. Participants will learn how integrated data can support traffic analysis, infrastructure planning and more responsive city management. The content also addresses data processing and visualisation for smart city initiatives, helping professionals understand how connected systems can inform planning decisions and sustainable development priorities.

The course addresses responsible and transparent AI deployment in urban planning, including ethical considerations, policy frameworks and compliance. Participants will consider how AI-enabled decisions affect citizens, communities and public accountability. It also covers stakeholder communication, helping planners and policy professionals explain the use of data and AI while balancing innovation with environmental, social and governance objectives.

The Artificial Intelligence (AI) in Urban Planning training course helps professionals connect AI-enabled analysis with environmental and social objectives. Participants will learn how predictive insights, environmental analysis and community-focused communication can inform more adaptive urban development. The course also emphasises responsible governance, enabling planners to consider sustainability, inclusion and citizen needs when evaluating intelligent planning solutions.