Sustainability and artificial intelligence are two of the most powerful forces shaping the future. Yet, they are often discussed in isolation. Sustainability professionals face growing challenges—complex regulations, resource constraints, and the demand for transparent, data-driven strategies. Meanwhile, AI is transforming industries, offering new capabilities in analysis, automation, and problem-solving. How can these intersect? Can Generative AI (Gen AI) be leveraged for real environmental and social impact while ensuring ethical and responsible use?

This course provides a practical, critically reflective approach to Gen AI’s role in sustainability. Unlike AI courses focused on technical skills or business efficiencies, this program is designed for sustainability professionals, social impact leaders, and AI practitioners seeking real-world applications. Participants will explore concrete use cases, including AI-powered sustainability strategy development, supply chain decarbonization, circular economy design, and social inclusion initiatives. Beyond showcasing AI’s potential, this course directly addresses its limitations and risks. AI itself has a significant ecological footprint, requiring vast amounts of energy and computational resources. While AI can support sustainability efforts, it must also be evaluated for its own environmental impact. Additionally, participants will examine bias, misinformation, and ethical concerns, ensuring AI applications promote fairness, accountability, and inclusivity rather than reinforcing inequalities. This is not a passive learning experience. Through case studies, discussions, and applied ideation, participants will critically assess the feasibility of AI-driven sustainability projects in their own fields. Whether working in corporate sustainability, social impact, entrepreneurship, or policy, learners will leave with actionable insights that can be directly applied to their work. As AI and sustainability continue to converge, professionals who understand both will be in high demand. This course equips learners with the knowledge and critical perspective needed to navigate this evolving landscape, ensuring they can lead conversations, make informed decisions, and drive meaningful change. If you’re ready to explore how AI can be strategically and responsibly leveraged for sustainability, this course will provide the framework, tools, and insights to take action. This course is ideal for sustainability professionals, social impact leaders, GenAI practitioners, and anyone interested in exploring the intersection of AI and sustainability. It is tailored for those looking to harness the power of Gen AI to drive social and environmental change while navigating the ethical and practical challenges of its application. Participants should have a basic understanding of sustainability concepts, along with fundamental computer skills. Some familiarity with AI technologies will also be helpful but is not mandatory. This course is designed to provide the necessary insights and frameworks for those eager to integrate AI into sustainability practices. By the end of this course, learners will be able to explain the basics of Gen AI, its benefits, and ethical considerations. They will gain the ability to analyze the systemic aspects of environmental and social sustainability and explore how Gen AI can be applied. Additionally, learners will ideate their own sustainability-focused Gen AI projects and assess the feasibility and effectiveness of AI-driven solutions for real-world impact.