Talent Strategy for AI Transformation
1 × INR ₹59.00 
Change Management at Scale (Adoption KPIs)
1 × INR ₹5,499.00 
Basics of Time Series Forecasting
1 × INR ₹199.00 Subtotal: INR ₹5,757.00
Harnessing AI for Sustainable Waste Management and Energy Solutions
This 3-week course focuses on the application of AI in waste-to-energy systems in urban areas, emphasizing circular economy modeling and lifecycle emissions reduction tracking. Participants will explore how AI can optimize waste management, enhance energy production, and track emissions to achieve sustainable urban development. Designed for professionals and researchers in environmental engineering, sustainability, and urban planning, the workshop offers practical insights into using AI for smarter, cleaner urban solutions
This course aims to provide participants with a comprehensive understanding of Waste-to-Energy (WtE) systems and the role of Artificial Intelligence (AI) in optimizing and enhancing waste management processes. Through three interactive days, the course will cover the principles of WtE technologies, the integration of AI for waste sorting, treatment, and emissions reduction, and the application of circular economy models in waste systems. Participants will gain practical insights into optimizing energy generation, tracking lifecycle emissions, and exploring future trends in AI-driven waste-to-energy solutions for sustainable urban development.
Week 1: Introduction to Waste-to-Energy Systems & AI Applications
Overview of Waste-to-Energy Systems
Principles and types of waste-to-energy technologies (incineration, biogas, pyrolysis)
Role of waste-to-energy in sustainable urban development
Key challenges and opportunities in urban waste management
Introduction to AI in Waste Management
How AI can optimize waste sorting, collection, and treatment processes
Applications of AI in monitoring and controlling waste-to-energy systems
Case studies of AI implementation in waste management and energy generation
Week 2: Circular Economy Modeling & AI-Driven Emissions Tracking
Circular Economy in Waste-to-Energy Systems
Understanding circular economy principles and their role in waste management
Integrating circular economy models into urban planning and waste systems
AI-based tools for tracking circularity and resource recovery
Emissions Reduction and Lifecycle Analysis
Tracking and reducing lifecycle emissions in waste-to-energy systems
AI-based techniques for emissions forecasting and optimization
Case studies on lifecycle emissions tracking and reduction using AI
Week 3: AI-Enhanced Optimization of Waste-to-Energy Systems & Future Trends
AI for System Optimization and Efficiency
Machine learning algorithms for optimizing waste-to-energy processes
Predictive maintenance and real-time monitoring of systems using AI
Data-driven decision-making for energy generation and waste management
Future Trends in AI for Waste-to-Energy Systems
Emerging technologies and innovations in AI and waste-to-energy integration
Future urban sustainability goals and AI’s role in achieving them
Practical insights for implementing AI solutions in waste-to-energy systems
Comprehensive Knowledge of Waste-to-Energy Systems
Practical Understanding of AI in Waste Management
Skills in Circular Economy Integration
Expertise in AI-driven Emissions Tracking and Optimization
Ability to Optimize Waste-to-Energy Systems with AI
Insights into Future Trends in AI and Sustainability
Hands-on Experience with AI Tools for Waste Management
Preparedness for Careers in AI, Sustainability, and Energy Sectors
Discounted: ₹8499 | $112
We accept 20+ global currencies. View list →
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
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