Online/ e-LMS
Self Paced
Moderate
3 Weeks
About
Participants will learn how AI is applied in developing smart cities, from optimizing urban infrastructure and traffic management to enhancing public safety and sustainability efforts. The course focuses on real-time data analysis, predictive modeling, and IoT integration for smart city infrastructure.
Aim
This program explores how AI technologies are transforming urban planning, management, and infrastructure, focusing on intelligent systems for energy, transportation, security, and waste management. It equips learners with the knowledge to integrate AI into smart city frameworks.
Program Objectives
- Understand AI’s role in transforming urban infrastructure and services.
- Learn to implement AI systems for traffic, energy, and waste management.
- Gain skills in AI-based public safety and urban sustainability.
- Explore predictive analytics for smart city infrastructure optimization.
- Develop practical experience through real-world case studies.
Program Structure
- Introduction to Smart Cities and AI
- Overview of Smart Cities: Concepts and Components
- Role of AI in Building and Managing Smart Cities
- Case Studies: Examples of Smart Cities Worldwide (Singapore, Barcelona, Dubai)
- AI for Traffic Management and Transportation
- AI for Predictive Traffic Control Systems
- Optimizing Public Transportation Networks with AI
- Autonomous Vehicles and Smart Mobility Solutions
- Energy Management and Sustainability with AI
- AI for Energy Consumption Monitoring and Optimization
- Smart Grids: AI for Demand Forecasting and Load Balancing
- AI in Renewable Energy Integration and Energy Efficiency
- AI in Waste Management and Recycling
- Smart Waste Collection Systems Using AI
- AI for Sorting and Recycling: Computer Vision and Robotics
- AI-Driven Sustainability Initiatives in Urban Environments
- Public Safety and Security in Smart Cities
- AI for Real-Time Surveillance and Monitoring
- AI-Powered Emergency Response Systems
- Facial Recognition, Threat Detection, and Privacy Concerns
- AI for Environmental Monitoring and Climate Action
- AI for Air Quality and Pollution Monitoring
- Climate Change Modeling and Mitigation with AI
- AI in Disaster Management: Predicting Natural Disasters and Response Planning
- AI in Public Health and Urban Wellbeing
- AI for Monitoring Public Health Trends (Epidemics, Disease Control)
- Smart Healthcare Systems in Urban Environments
- AI Applications for Enhancing Mental Health and Wellbeing in Cities
- AI for Water Management and Smart Infrastructure
- Optimizing Water Distribution Systems with AI
- AI for Leak Detection and Maintenance Planning
- Smart Buildings and AI-Driven Infrastructure Management
- AI and IoT Integration in Smart Cities
- Role of IoT Sensors and Devices in Smart Cities
- AI and IoT for Real-Time Data Collection and Analytics
- Use Cases: AI-IoT Solutions in Transportation, Security, and Energy Management
- Ethics, Privacy, and Security in AI-Driven Smart Cities
- Ethical Considerations for AI in Public Spaces
- Ensuring Data Privacy in AI-Driven Smart City Solutions
- AI Governance and Regulation in Smart Cities
- AI and Citizen Engagement in Smart Cities
- AI for Enhancing Civic Participation and Community Engagement
- AI Tools for Urban Planning and Decision-Making
- Case Studies: How Cities Use AI to Foster Transparency and Participation
- Final Project
- Develop an AI-based solution for a smart city challenge (e.g., energy management, traffic control, public health).
- Example: Create a traffic optimization model using AI, or build a predictive maintenance system for smart infrastructure.
Participant’s Eligibility
Urban planners, data scientists, city management professionals, engineers, and AI specialists.
Program Outcomes
- Expertise in designing and implementing AI systems for smart city projects.
- Ability to optimize urban infrastructure through AI-powered technologies.
- Knowledge of integrating AI with IoT and real-time data for smart city management.
- Skills in applying AI to public safety, energy management, and sustainable urban development.
Fee Structure
Standard Fee: INR 4,998 USD 78
Discounted Fee: INR 2499 USD 39
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
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Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 50 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- Smart City Planner
- AI Solutions Architect for Infrastructure
- Urban Data Scientist
- Smart Transportation Manager
- Sustainability Consultant
- AI Infrastructure Specialist
Job Opportunities
- City governments integrating AI in smart city initiatives.
- Urban planning and architecture firms implementing AI-based infrastructure.
- Tech companies building AI-powered solutions for smart transportation and utilities.
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