Programme Parameters
Advanced Postgrad
3 Days (4.5 Hrs)
Online (e-LMS)
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
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. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course 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.
📋 Course Objectives
1. Apply AI in Energy & Utilities methods to authentic research and industry problems.
2. Assemble a documented case study that evidences your applied capability.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in AI in Energy & Utilities
• R&D engineers and working professionals applying AI in Energy & Utilities in industry
• Academics and educators building research or teaching capacity in AI in Energy & Utilities
🚀 Key Learning Outcomes
• Tangible, reproducible AI in Energy & Utilities work to show supervisors or employers.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Day 1 – AI for Urban Planning and Smart Cities
Introduce AI concepts for urban planning and smart city frameworks • Build a Smart City model using Google Colab • Create AI‑driven resource‑management models for water, energy, and waste
Day 2 – AI for Energy Management in Urban Systems
Explore AI techniques for urban energy optimisation • Implement energy‑optimization models in Google Colab • Design AI models for sustainable mobility and traffic flow
Day 3 – Sustainability Assessment & Smart City Governance
Apply AI for sustainability assessment of urban environments • Develop decision‑support systems for smart city governance • Deploy AI‑driven governance dashboards using Jupyter Notebook
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | TensorFlow |
| Covered Tool / Platform | PyTorch |
| Covered Tool / Platform | Scikit-learn |
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