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Home >Courses >Building the Future: AI for Smart Urban Planning, Energy, and Governance

12/29/2025

Registration closes 12/29/2025
Mentor Based

Building the Future: AI for Smart Urban Planning, Energy, and Governance

Transforming Cities with AI: Building Smarter, Greener Urban Environments

  • Mode: Virtual / Online
  • Type: Mentor Based
  • Level: Advanced
  • Duration: 3 Days (60-90 Minutes each day)
  • Starts: 29 December 2025
  • Time: 5:30 PM IST

About This Course

This workshop explores the transformative power of Artificial Intelligence in building sustainable smart cities. Participants will gain practical experience in applying AI to urban planning, resource management, energy optimization, and smart mobility. Through hands-on sessions, they will develop AI models to address urban challenges, optimize resources, and drive sustainability. Tailored for professionals in urban development, energy, and transportation, this workshop offers actionable insights for creating smarter, more sustainable cities using advanced AI solutions.

Aim

To equip participants with the skills to apply AI in creating sustainable smart cities, optimizing resources, and enhancing urban planning, energy, and mobility solutions.

Workshop Objectives

  • Explore AI applications in urban planning, smart cities, and resource management.

  • Develop AI models for optimizing energy, mobility, and sustainability in urban systems.

  • Gain hands-on experience in real-time resource management and energy optimization.

  • Build AI-driven decision support systems for smart city governance.

  • Equip participants with practical AI skills to address urban challenges and promote sustainable development.

Workshop Structure

📅 Day 1 – AI for Urban Planning and Smart Cities

  • Introduction to AI in Urban Planning & Smart Cities
  • Hands-on: Building a Smart City Model with AI (Google Colab)
  • AI for Urban Resource Management (Water, Energy, Waste)
  • Hands-on: AI Models for Smart Resource Management (Jupyter Notebook)

👉 Outcome: Smart City Model & Resource Management Models + .ipynb.

📅 Day 2 – AI for Energy Management in Urban Systems

  • AI for Energy Management in Smart Cities
  • Hands-on: Energy Optimization (Google Colab)
  • AI for Sustainable Mobility in Urban Systems
  • Hands-on: AI Models for Urban Mobility Optimization (Jupyter Notebook)

👉 Outcome: Energy and Mobility Optimization Models + .ipynb.

📅 Day 3 – Sustainability Assessment and Smart City Governance

  • Sustainability Assessment with AI
  • Hands-on: Sustainability Models for Urban Environments (Google Colab)
  • AI for Smart City Governance & Decision Support
  • Hands-on: AI-Driven Decision Support Systems for Urban Governance (Jupyter Notebook)

👉 Outcome: Sustainability & Governance Models + .ipynb.

Who Should Enrol?

  • Urban planners, environmental engineers, and energy professionals looking to integrate AI into smart city solutions.

  • Transportation experts and researchers focused on AI for sustainable urban mobility.

  • Students and early-career professionals in urban development, AI, sustainability, and related fields.

  • A foundational understanding of AI concepts is recommended for participants.

Important Dates

Registration Ends

12/29/2025
IST 4:30 PM

Workshop Dates

12/29/2025 – 01/01/2026
IST 5:30 PM

Workshop Outcomes

  • Gain hands-on experience in AI-driven urban planning, resource management, and smart city optimization.

  • Develop AI models for energy efficiency, sustainable mobility, and real-time urban resource management.

  • Build sustainability and governance decision support systems using AI.

  • Equip yourself with practical AI tools and models for real-world smart city applications.

Fee Structure

Student

₹1999 | $65

Ph.D. Scholar / Researcher

₹2999 | $75

Academician / Faculty

₹3999 | $85

Industry Professional

₹5999 | $105

What You’ll Gain

  • Live & recorded sessions
  • e-Certificate upon completion
  • Post-workshop query support
  • Hands-on learning experience

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Connect with global researchers and mentors.

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Worth ₹20,000 / $1,000 in academic value.

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