AI for Environmental Sustainability
Leveraging AI for a Greener, Sustainable Future
Skills you will gain:
This self-paced program explores AI’s role in environmental sustainability, covering state-of-the-art techniques for climate modeling, managing natural resources, and enhancing renewable energy efficiency. Participants will learn to apply AI to real-world environmental issues, driving sustainable practices.
Aim: To empower PhD scholars and academicians with advanced AI skills to address environmental challenges, focusing on climate modeling, natural resource management, and optimizing renewable energy sources.
Program Objectives:
- Understand AI applications in environmental monitoring.
- Develop AI models for climate prediction and analysis.
- Implement AI solutions for natural resource management.
- Optimize renewable energy systems using AI.
- Ensure ethical and regulatory compliance in AI applications.
What you will learn?
- Introduction to AI in Environmental Sustainability
- Climate Modeling with AI
- Natural Resource Management
- AI in Renewable Energy Optimization
- Environmental Data Analytics
- Case Studies in Sustainable AI
- Ethical and Regulatory Considerations
- Future Trends in AI and Sustainability
Intended For :
Domain: Environmental scientists, AI researchers, data scientists, renewable energy experts, and policy makers.
Career Supporting Skills
Climate Modeling Resource Management Data Analytics Renewable Energy Optimization Ethical AI
