Table of Contents
- 1. Course Modules:
- 2. Module 1: Introduction to Smart Cities and AI
- 3. Module 2: AI in Urban Mobility and Traffic Management
- 4. Module 3: Smart Energy and Utilities
- 5. Module 4: Urban Planning and Infrastructure Analytics
- 6. Module 5: Public Safety and Surveillance
- 7. Module 6: Environmental Monitoring and Sustainability
- 8. Module 7: Citizen Services and Personalized Engagement
- 9. Module 8: Privacy, Ethics, and Urban Data Governance
- 10. Module 9: Tools and Technologies for Smart City AI
- 11. Module 10: Final Capstone Project
Course Modules:
Module 1: Introduction to Smart Cities and AI
What makes a city “smart”?
Key AI technologies in urban systems
Stakeholders and smart governance models
Module 2: AI in Urban Mobility and Traffic Management
Real-time traffic prediction using machine learning
AI in public transport scheduling and routing
Autonomous vehicle integration and pedestrian safety
Module 3: Smart Energy and Utilities
AI for energy consumption forecasting
Smart grids and load balancing algorithms
Optimizing water usage and waste management
Module 4: Urban Planning and Infrastructure Analytics
Satellite imagery and AI for urban development
Predictive maintenance for infrastructure
Digital twins for city modeling
Module 5: Public Safety and Surveillance
AI-powered CCTV and facial recognition
Crime prediction models and anomaly detection
Emergency response optimization
Module 6: Environmental Monitoring and Sustainability
Air and water quality detection using sensors and AI
Waste sorting and recycling automation
AI for climate impact forecasting in cities
Module 7: Citizen Services and Personalized Engagement
Chatbots and AI for e-government
Sentiment analysis on citizen feedback
AI-enhanced accessibility for public services
Module 8: Privacy, Ethics, and Urban Data Governance
Data collection and consent in public AI systems
Avoiding surveillance bias and digital exclusion
Regulatory frameworks and compliance
Module 9: Tools and Technologies for Smart City AI
Platforms: TensorFlow, OpenCV, QGIS, Google Earth Engine
Cloud and edge deployment for smart infrastructure
Using public datasets (OpenStreetMap, NYC, EU Smart City)
Module 10: Final Capstone Project
Propose and prototype a smart city AI application such as:
Intelligent traffic light controller
Air quality prediction and alert system
AI chatbot for municipal services
Deliver project report, dataset, and functional demo
?Master Study NLP Fundamentals: The Foundation of Language Understanding in AI
?Shop our library of over one million titles and learn anytime
?? Learn with our expert tutors
Read also about AI in Education and EdTech
