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Gen AI For Sustainability

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Gen AI For Sustainability

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Gain insight into a topic and learn the fundamentals.
4.8

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Intermediate level

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7 hours to complete
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Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.8

10 reviews

Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • 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 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. 

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Assessments

4 assignments¹

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Taught in English

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There is 1 module in this course

Sustainability and artificial intelligence are two of the most transformative forces of our time—and their intersection is shaping the future of business, policy, and society. This course explores how Generative AI (GenAI) can be strategically applied to drive environmental and social impact while addressing its risks and limitations.

Designed for sustainability professionals, social impact leaders, and AI practitioners, the course blends theory with practice. You’ll examine real-world applications such as AI-powered sustainability strategy, supply chain decarbonization, circular economy design, and social inclusion initiatives. At the same time, you’ll critically evaluate AI’s ecological footprint, ethical risks, and potential to reinforce or reduce inequality. Through case studies, discussions, and applied projects, you’ll gain the tools to design, assess, and implement responsible AI solutions in sustainability contexts. By the end, you’ll not only understand GenAI’s potential—you’ll be prepared to lead informed conversations and drive meaningful, ethical change in your organization or community.

In this course, you’ll explore the intersection of Generative AI and sustainability, examining how AI can drive social and environmental impact. Through hands-on case studies and ideation, you’ll learn to develop AI-powered sustainability strategies, such as supply chain decarbonization and circular economy design. You’ll also analyze AI’s ethical and environmental implications, ensuring responsible deployment and fostering fairness and inclusivity in sustainability efforts.

What's included

26 videos5 readings4 assignments3 peer reviews4 discussion prompts

26 videosTotal 242 minutes
  • Welcome and Course Overview 6 minutes
  • Introduction to GenAI 3 minutes
  • Sustainability Challenges & AI’s Role 4 minutes
  • What is Generative AI9 minutes
  • Benefits of GenAI for Businesses & Sustainability 5 minutes
  • What is Sustainability 6 minutes
  • UN SDGs and Sustainability Frameworks 12 minutes
  • AI for ESG Data Tracking and GenAI for Modelling and Scenario Planning 10 minutes
  • Interview Call With Max Mizi: Introduction on AI Meets Sustainability17 minutes
  • Interview Call With Max Mizi: GitHub’s Role in Climate Tech and Green Software14 minutes
  • Interview Call With Max Mizi: How GitHub Supports Global Green Innovation17 minutes
  • AI for Sustainability Transition Strategization 8 minutes
  • AI in Circular Economy & Eco-Design 8 minutes
  • AI in Education & Accessibility 8 minutes
  • Interview Call With Louis: Introduction to Decisions Lab7 minutes
  • Interview Call with Louis: Personalizing Marketing with Generative AI 14 minutes
  • Interview Call with Louis: From AI Personas to Real-World Impact in the Social Sector19 minutes
  • AI for Social Impact & Nonprofits 7 minutes
  • AI for Workplace Diversity & Inclusion 12 minutes
  • Accessible Healthcare Information and Support 9 minutes
  • Environmental Cost of AI Training & Usage 9 minutes
  • Strategies for Greener AI Models 9 minutes
  • Detect Coded Biases 8 minutes
  • Understand the Limitations of AI 11 minutes
  • Designing Sustainability Initiatives with GenAI 6 minutes
  • Course Wrap-Up Video6 minutes
5 readingsTotal 25 minutes
  • Welcome to the Course: Course Overview5 minutes
  • GenAI for the Global Goals5 minutes
  • How Supply Chains Benefit From Using Generative AI5 minutes
  • AI for Social Good5 minutes
  • Generative AI’s Environmental Impact5 minutes
4 assignmentsTotal 80 minutes
  • Introduction to Generative AI and Sustainability 20 minutes
  • GenAI for Climate Action and Circular Economy20 minutes
  • GenAI for Equity, Inclusion, and Social Good 20 minutes
  • Ethical and Environmental Challenges of AI 20 minutes
3 peer reviewsTotal 80 minutes
  • Hands-On-Learning: Interactive Activity: Ideating AI & Sustainability Use Cases 10 minutes
  • Hands-On-Learning: Our Digital Carbon Footprint10 minutes
  • Project: Real-World Solutions with Generative AI60 minutes
4 discussion promptsTotal 20 minutes
  • Business Tech Strategy for Sustainable Development 5 minutes
  • Leveraging AI for Environmental Sustainability 5 minutes
  • Leveraging GenAI for Personalized Learning 5 minutes
  • Mitigating Harms of AI and Gen AI 5 minutes

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.