GenAI For Sustainability
Discover how to strategically apply Generative AI for environmental and social sustainability. Learn through real-world use cases, ethical frameworks, and hands-on projects to drive impact responsibly and effectively.
Segment 01: Welcome and Course Overview
Segment 02: Introduction to GenAI
Segment 03: Sustainability Challenges _ AI’s Role
Segment 04: - What is Generative AI
Segment 05: Benefits of Gen AI for Businesses _ Sustainability
Segment 06: What is Sustainability
Segment 07: UN SDGs and Sustainability Frameworks
Segment 08: AI for ESG data tracking and Gen AI for modelling and scenario planning-
Segment 09: Interview call with Max Mizi: Introduction on AI Meets Sustainability
Segment 10: Interview call with Max Mizi: GitHub’s Role in Climate Tech and Green Software
Segment 11: Interview call with Max Mizi: How GitHub Supports Global Green Innovation
Segment 12: AI for Sustainability Transition Strategization
Segment 13: AI in Circular Economy _ Eco-Design
Segment 14: AI in Education _ Accessibility
Segment 15: AI for Social Impact _ Nonprofits
Segment 16: Interview call with Louis: Introduction to Decisions lab
Segment 17: Interview Call with Louis: Personalizing Marketing with Generative AI
Segment 18: Interview call with Louis: From AI Personas to Real-World Impact in the Social Sector
Segment 19: AI for Workplace Diversity _ Inclusion
Segment 20: Accessible Healthcare Information and Support
Segment 21: Environmental Cost of AI Training _ Usage
Segment 22: Strategies for Greener AI Models
Segment 23: Detect coded biases
Segment 24: Understand the limitations of AI
Segment 25: Designing Sustainability Initiatives with Gen AI (Part 1)
Segment 26: Course wrap up video