AI-Enabled Urban Planning and Infrastructure Course

Name: AI-Enabled Urban Planning and Infrastructure Operations Course
Availability: InStock

Use governed urban data and AI-supported analysis to compare scenarios, prioritize infrastructure, and monitor sustainable city decisions.

AI-Enabled Urban Planning and Infrastructure Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Kuwait, Madrid, Geneva, Tashkent, Istanbul, New York and more
Next session: 11 – 15 October 2026, Kuwait
Average fee: 5,800 €

Home
Our Categories
AI-Enabled Urban Planning and Infrastructure Operations Course

Download Brochure (PDF) Print PDF

Overview

AI-Enabled Urban Planning and Infrastructure Operations Course is a five-day course for planning managers, infrastructure teams, municipal service personnel, sustainability staff, mobility and utility coordinators, data teams, and implementers, who leave with an Urban AI Implementation Plan. Participants frame urban problems, assess data readiness, compare spatial scenarios, prioritize projects, plan services, apply sustainability and resilience criteria, and monitor decisions without performing engineering design. Agile Leaders Training Center provides training in AI-enabled urban planning and infrastructure operations.

Who Should Attend

Urban planning personnel responsible for land-use and service decisions
Infrastructure personnel responsible for development portfolios and priorities
Municipal service personnel responsible for mobility and utility coordination
Sustainability personnel responsible for resilience and environmental criteria
Data personnel responsible for spatial evidence, quality, and access
Implementation personnel responsible for introducing urban AI workflows

The course assumes participants contribute to urban planning, infrastructure, services, sustainability, data, or implementation, and it leaves out civil engineering design, programming, model development, and technology demonstrations.

Departments and Industries

The course supports governed planning and infrastructure decisions across urban development and service sectors.

Urban and regional planning functions
Infrastructure development and portfolio teams
Transport and mobility service operations
Water, energy, and utility planning functions
Environmental sustainability and resilience teams
Property development and built-environment services

Learning Objectives

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

Apply an urban AI use-case suitability screen
Analyze urban, infrastructure, and spatial data readiness
Compare scenarios using service, sustainability, and resilience criteria
Prioritize infrastructure projects with transparent decision evidence
Evaluate stakeholder, fairness, privacy, and oversight controls
Build an Urban AI Implementation Plan

Course Agenda

Day 1: Urban Problems and Decision Boundaries

Urban Problem Framing Canvas
AI Use-Case Suitability Matrix
Planning Decision Rights Chart
Public-Service Impact and Risk Screen
Scope, Exclusion, and Escalation Checklist

Day 2: Urban and Infrastructure Data

Urban Data Asset and Source Inventory
Spatial Data Quality and Coverage Scorecard
Infrastructure Data Lineage Map
Interoperability and Sharing Boundary Register
Privacy and Access Control Checklist

Day 3: Scenarios and Prioritization

Spatial Evidence Interpretation Guide
Urban Scenario Comparison Matrix
Infrastructure Project Prioritization Model
Mobility and Utility Service Options Canvas
Assumption, Uncertainty, and Sensitivity Log

Day 4: Sustainability and Governance

Sustainability and Resilience Criteria Map
Stakeholder Participation and Feedback Plan
Fairness and Neighborhood Impact Review
Human Oversight and Approval Register
Urban Performance Indicator Scorecard

Day 5: Urban AI Implementation Practice

Suggested Exercise: Frame an Urban Planning Use Case
Suggested Exercise: Assess Spatial and Infrastructure Data
Suggested Exercise: Compare Scenarios and Prioritize Projects
Suggested Exercise: Apply Governance and Performance Controls
Capstone Exercise: Urban AI Implementation Plan

Practical Exercises

The course uses suggested activities that turn urban evidence into governed planning and infrastructure decisions.

Suggested activity: frame an urban service problem, define scope, and assign decision rights
Suggested activity: inventory spatial and infrastructure data and assess quality, coverage, sharing, and access
Suggested activity: compare mobility or utility scenarios and prioritize projects using stated criteria
Suggested activity: apply sustainability, resilience, participation, fairness, oversight, and performance controls

FAQs

Who suits AI-enabled urban planning and infrastructure operations training, and what does it assume?

AI-enabled urban planning and infrastructure operations training suits personnel responsible for planning, portfolios, services, sustainability, data, or implementation. It assumes practical involvement in urban decisions and does not require programming.

How does urban planning and infrastructure operations training differ from civil engineering design training?

Urban planning and infrastructure operations training focuses on problem framing, data, scenarios, priorities, governance, and performance, while civil engineering design training develops technical specifications and calculations.

How can urban AI support infrastructure project prioritization?

Urban AI can support prioritization by organizing spatial evidence, service needs, sustainability and resilience criteria, stakeholder impacts, assumptions, uncertainty, and transparent human approval.

What controls support AI-enabled urban planning decisions?

AI-enabled urban planning decisions need data-quality checks, access boundaries, fairness review, stakeholder participation, documented assumptions, human decision rights, performance measures, and corrective actions.

What belongs in an Urban AI Implementation Plan?

The plan should contain the problem definition, use-case boundary, data map, scenario method, prioritization criteria, service options, governance controls, stakeholder roles, measures, and improvement actions.

Conclusion

Participants take back an Urban AI Implementation Plan linking urban problems, spatial data, scenarios, project priorities, service options, governance, and performance. It changes how teams structure and oversee planning and infrastructure decisions. The plan supports transparent choices, accountable approval, and monitored improvement.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

Download Brochure (PDF) Print PDF

Showing 41-60 of 76 events

Location	Dates	Duration	Mode	Price
Zanzibar	Week 15, 2027 18 – 22 April 2027	5 Days	Onsite	€5,500
Prague	Week 16, 2027 19 – 23 April 2027	5 Days	Onsite	€6,000
Barcelona	Week 17, 2027 26 – 30 April 2027	5 Days	Onsite	€5,700
Amsterdam	Week 18, 2027 3 – 7 May 2027	5 Days	Onsite	€5,700
Seoul	Week 18, 2027 3 – 7 May 2027	5 Days	Onsite	€10,000
Langkawi	Week 18, 2027 9 – 13 May 2027	5 Days	Onsite	€6,000
San Diego	Week 19, 2027 10 – 14 May 2027	5 Days	Onsite	€14,000
Dubai	Week 20, 2027 17 – 21 May 2027	5 Days	Onsite	€4,500
Frankfurt	Week 20, 2027 17 – 21 May 2027	5 Days	Onsite	€5,700
Toronto	Week 20, 2027 23 – 27 May 2027	5 Days	Onsite	€12,000
Milan	Week 22, 2027 31 May – 4 June 2027	5 Days	Onsite	€5,700
Montreux	Week 22, 2027 31 May – 4 June 2027	5 Days	Onsite	€7,500
Rome	Week 23, 2027 7 – 11 June 2027	5 Days	Onsite	€5,700
Abu Dhabi	Week 23, 2027 7 – 11 June 2027	5 Days	Onsite	€4,700
Cairo	Week 24, 2027 14 – 18 June 2027	5 Days	Onsite	€4,100
London	Week 25, 2027 21 – 25 June 2027	5 Days	Onsite	€5,700
Phuket	Week 25, 2027 27 June – 1 July 2027	5 Days	Onsite	€6,000
Singapore	Week 27, 2027 5 – 9 July 2027	5 Days	Onsite	€5,700
Amsterdam	Week 28, 2027 12 – 16 July 2027	5 Days	Onsite	€5,700
Munich	Week 28, 2027 12 – 16 July 2027	5 Days	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewAI-Enabled Urban Planning and Infrastructure Operations Course is a five-day course for planning managers, infrastructure teams, municipal service personnel, sustainability staff, mobility and utility coordinators, data teams, and implementers, who leave with an Urban AI Implementation Plan. Participants frame urban problems, assess data readiness…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

AI-Enabled Urban Planning and Infrastructure Course