AI · Advanced · Video-based learning

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

Transforming Cities with AI: Building Smarter, Greener Urban Environments

★ 4.1 (31 ratings)Access 24/7 · 365 daysVideo lectures of 3+ hrsCertificate
Registration open

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.

Course 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.

Next: Syllabus →

Syllabus

📅 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.

Course 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.

Next: Fees →

Course fee

Learners in India

₹2,499

Learners outside India

$50

  • Video lectures
  • Study material
  • Certificate after completion
  • 365-day access

Enrol in the course

The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.

Next: FAQ →

Frequently asked questions

How is this course taught?

Through recorded video lectures from the original live workshop, with the study material. Watch at your own pace, any time.

How long do I have access?

365 days from your registration, on your NanoSchool dashboard.

Do I get a certificate?

Yes, an e-certificate after completion, with a QR code anyone can verify and an "Add to LinkedIn" button.

How can I pay?

By card, UPI or PayPal on the payment page; international bank transfer is also available there.

What is the refund policy?

See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy

Need Help?

We’re here for you!


(+91) 120-4781-217
WhatsApp +91 99581 61117

Registration open

More upcoming workshops

Live, mentor-led and certified. Dates and times in IST.

See all workshops

Stay Updated


Join our mailing list for exclusive offers and course announcements

Ai Subscriber

Support