Course Details

This course is appropriate for a wide range of professionals but not limited to:

• Smart City Managers
• Urban Planners
• Transportation Engineers
• Infrastructure Managers
• Government Officials
• Digital Transformation Leaders

• Expert-led sessions with dynamic visual aids
• Comprehensive course manual to support practical application and reinforcement
• Interactive discussions addressing participants’ real-world projects and challenges
• Insightful case studies and proven best practices to enhance learning

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

• Understand the role of AI in smart city and transportation initiatives
• Identify AI applications for urban mobility and traffic optimization
• Evaluate data sources and digital infrastructure for smart cities
• Apply AI concepts to transportation planning and operations
• Assess governance, privacy, and ethical considerations in AI deployment
• Develop practical strategies for implementing AI-enabled city services

DAY 1

Foundations of AI for Smart Cities

• Introduction to AI and Smart City Concepts
• Smart City Architecture and Digital Ecosystems
• Urban Data Platforms and Data Governance
• AI Technologies Supporting Smart Cities
• Global Smart City Success Stories
• Challenges and Opportunities in Urban AI
   

DAY 2

Intelligent Transportation Systems

• Fundamentals of Intelligent Transport Systems (ITS)
• AI Applications in Traffic Management
• Real-Time Traffic Monitoring and Analytics
• Smart Parking and Congestion Reduction
• Public Transportation Optimization
• Mobility-as-a-Service (MaaS) Concepts
   

DAY 3

Data Analytics and Urban Intelligence

• Urban Data Collection and IoT Integration
• Predictive Analytics for City Operations
• Computer Vision for Transport Applications
• AI-Powered Decision Support Systems
• Digital Twins for Smart Cities
• Performance Monitoring and KPI Development

DAY 4

AI-Driven Mobility and Infrastructure

• Connected and Autonomous Vehicles
• Fleet and Logistics Optimization
• Infrastructure Asset Monitoring
• Predictive Maintenance Using AI
• Smart Energy and Environmental Management
• Emergency Response and Urban Resilience
   

DAY 5

Strategy, Governance, and Future Trends

• AI Governance Frameworks for Cities
• Privacy, Security, and Ethical Considerations
• Regulatory and Policy Requirements
• Building an AI Roadmap for Smart Cities
• Emerging Technologies and Future Mobility
• Group Workshop and Action Planning