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  1. Courses
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  3. GenAI For Sustainability

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.

Joyce Wong
Joyce Wong
Business | intermediate | 4 hours |   Published: Jun 2025

    Discussions

Overview

1KSTUDENTS*
98.9RECOMMEND*
  • 4 hours of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

GenAI for Sustainability is a practical, action-oriented course designed for professionals in sustainability, social impact, and AI. It explores how Generative AI can be used to address complex environmental and social challenges—such as climate action, supply chain optimization, circular economy, and equity initiatives—while critically assessing its ethical, environmental, and systemic implications. Through interactive labs, real-world case studies, and a capstone project, learners will develop the skills to evaluate and implement GenAI solutions responsibly. This course empowers participants to drive meaningful change using AI as a strategic, inclusive, and sustainable tool.

Skills You Will Gain

Gen AI
Sustainability
AI Ethics
AI Impact Assessment
Data Analysis

Learning Outcomes (At the end of this program you will be able to)

  • Explain the basics of Gen AI, its key competencies, potential benefits, ethical considerations, and limitations. 
  • Analyze the systemic aspects of environmental and social sustainability, and the potential application of Gen AI.
  • Apply learnings and insights from real-world use cases, and ideate their own Gen AI for sustainability projects.
  • Evaluate the feasibility and robustness of Gen AI for sustainability projects.

Prerequisites

Basic concepts of sustainability, basic computer skills, basic experience with AI technologies.

Who Should Attend

This course is ideal for sustainability professionals, social impact leaders, and practitioners working with Generative AI who are seeking to apply AI to real-world environmental and social challenges. It also welcomes individuals from diverse backgrounds—whether in corporate sustainability, nonprofits, public policy, entrepreneurship, or technology—who are curious about leveraging AI for good. Whether you’re looking to enhance your sustainability strategy, explore AI-driven innovation, or ensure ethical integration of emerging technologies, this course offers a practical and inclusive approach suited to professionals across sectors.

Curriculum

Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: Introduction
2Module 2: Introduction to Generative AI and Sustainability
3Module 3: Gen AI for Climate Action and Circular Economy
4Module 4: Gen AI for Equity, Inclusion, and Social Good
5Module 5: Ethical and Environmental Challenges of AI
6Module 6: Conclusion

Segment 01: Welcome and Course Overview

Segment 02: Introduction to GenAI

Segment 03: Sustainability Challenges _ AI’s Role

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 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

Joyce Wong

Joyce Wong

With a distinguished background in cross-sector collaboration and qualitative research, she is deeply committed to advancing social innovation and sustainable development. Her academic training in historiography and postcolonial studies provides a strong foundation for understanding complex socio-economic dynamics, enabling her to navigate and address multifaceted challenges.

Driven by a passion for launching and managing impactful, social-purpose projects, she expertly combines ecosystem building, user research, and design methodologies to drive meaningful change. Her expertise lies in steering social innovation projects and facilitating multi-stakeholder engagement, with extensive experience in designing and managing initiatives that bridge gaps across sectors, from social finance to community-building endeavors. In her role, she not only oversees project development but also leads advocacy and capacity-building programs that empower communities and organizations. Through strategic program design and rigorous impact measurement, she ensures that initiatives are both effective and sustainable.

Beyond practical experience, she actively contributes to thought leadership in the field, presenting at international conferences and facilitating workshops on critical topics such as social innovation, youth empowerment, and the future of work. Her background in social finance, coupled with her skills in qualitative research and program management, equips her to provide deep insights and actionable strategies for driving positive social impact. With a focus on transformative change, she remains dedicated to fostering inclusive, resilient, and sustainable communities.

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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

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