Generative AI for Sustainability is a practical course designed to help learners understand, apply, and implement AI-driven solutions that address the world’s most pressing environmental challenges. As organizations worldwide commit to sustainability goals, professionals who can harness AI for climate action, resource optimization, and green innovation are becoming essential across every sector.

Generative AI for Sustainability
4 days left! Save on skills that make you shine with 40% off 3 months of Coursera Plus. Save now

Recommended experience
What you'll learn
AI for Sustainability: Use AI to address environmental challenges like resource depletion, waste management, and biodiversity protection.
Data-Driven Environmental Solutions: Analyze environmental data to build predictive models that optimize energy use and support sustainability.
AI in Technologies & Energy Systems: Learn how AI improves renewable energy, smart grids, sustainable innovations in agriculture and manufacturing.
Sustainability Strategy & Responsible AI: Build AI-driven sustainability frameworks aligned and global goals while ensuring ethical AI use.
Skills you'll gain
- Sustainable Development
- Responsible AI
- AI Personalization
- Environmental Resource Management
- Sustainability Reporting
- Environment and Resource Management
- Environment
- Demography
- Artificial Intelligence
- Energy and Utilities
- Environmental Policy
- Generative AI Agents
- Environmental Regulations
- Artificial Intelligence and Machine Learning (AI/ML)
- Environmental Issue
- Climate Change Adaptation
- AI Enablement
- Sustainable Systems
Tools you'll learn
Details to know

Add to your LinkedIn profile
April 2026
9 assignments
See how employees at top companies are mastering in-demand skills

There are 10 modules in this course
Instructor

Offered by
Explore more from Environmental Science and Sustainability

Starweaver

Rutgers the State University of New Jersey

University of Michigan

University of Michigan
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.





