Attribute
Detail
Format
Recorded Lectures (Self-Paced)
Level
Advanced
Duration
3 Days (60-90 Minutes each day)
Certification
e-Certification + e-Marksheet
Tools
Google Colab, Jupyter Notebook, TensorFlow, PyTorch, Scikit-learn
About the Ai Course
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.
Through hands‑on sessions, you will develop AI models to tackle urban challenges, optimise resources, and drive sustainability. Tailored for professionals in urban development, energy, and transportation, this program delivers actionable insights for creating smarter, greener cities with cutting‑edge AI solutions.
Program Highlights
• Comprehensive coverage of Building the Future from fundamentals to advanced applications
• Hands-on projects and real-world case studies in urban planning
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Practical experience with tools: Google Colab, Jupyter Notebook, TensorFlow, PyTorch
• Career-oriented training for academic and professional growth in urban planning
Course Curriculum
Module 1: 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
Module 2: 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
Module 3: 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
Tools, Techniques, or Platforms Covered
Google Colab
Jupyter Notebook
TensorFlow
PyTorch
Scikit-learn
Real-World Applications
- Apply Building the Future skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical urban planning competencies
- Solve industry-relevant problems using Building the Future methodologies and tools
- Contribute to open-source projects and collaborative research in urban planning
- Prepare for competitive examinations, interviews, and professional certifications in urban planning
Who Should Attend & Prerequisites
- Students pursuing degrees in urban planning, science, engineering, or related disciplines
- Working professionals seeking to upskill or transition into urban planning roles
- Researchers and academicians looking to adopt modern techniques in urban planning
- Entrepreneurs, freelancers, and self-learners interested in practical urban planning knowledge
Prerequisites: Prior experience with urban planning fundamentals or a related discipline is recommended. Basic programming knowledge may be helpful depending on the course modules.
Frequently Asked Questions
1. What is the format of this Building the Future: AI for Smart Urban Planning, Energy, and Governance course?
This is an Recorded Lectures (Self-Paced) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.
2. Will I receive a certificate after completing this course?
Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.
3. What are the prerequisites for this course?
Learners should have a foundational understanding of urban planning concepts. Familiarity with basic tools and programming is recommended.
4. How long will I have access to the course materials?
You will have access to all course materials for the duration of 3 Days (60-90 Minutes each day). The self-paced format allows you to learn according to your own schedule through our online learning management system.
5. Is mentor support available during the course?
Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to urban planning. Our mentors are industry experts and experienced professionals.
Enroll in Building the Future: AI for Smart Urban Planning, Energy, and Governance today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering urban planning skills that matter.