Learn how AI and machine learning drive sustainability initiatives — from carbon footprint modeling to satellite-based environmental monitoring.
This entry-level 45-minute webinar introduces researchers and students to the transformative role of AI in climate action and environmental sustainability. Discover how open-source geospatial datasets, remote sensing, and Python-based machine learning models are used to monitor deforestation, track carbon emissions, and optimize resource allocation.
Our expert speaker will present real-world case studies from India’s National Action Plan on Climate Change (NAPCC) and international climate labs, equipping participants with foundational skills to kickstart their own research in climate AI.
Participants will get hands-on exposure to key industry standard toolkits during the session:
Basic Python familiarity. No prior machine learning or geospatial background required.
Environmental science students, PhD scholars, ESG analysts, and sustainability advocates.
Every registered attendee receives an official, tamper-proof digital certificate issued by the Deep Science & Technology Consortium (DSTC). Includes a unique QR code and SHA-256 hash for instant verification on employer or university registries.
TERI University
TERI University