Sustainability reporting and ESG execution have become high-stakes and high-volume—more data, more frameworks, tighter timelines, and higher scrutiny. And the workload is exploding: 77% of ESG professionals say AI will have a high or transformational impact on their work in the next few years. At the same time, GenAI isn’t “free”—data centers already consume massive energy (about 460 TWh globally in 2022), and AI systems can introduce bias, errors, or greenwashing if they’re not governed well.
So how do you use Generative AI to accelerate sustainability outcomes—without losing accuracy, trust, or control?
That’s exactly what this course is designed to teach.
In Gen AI for Sustainability, you’ll learn how GenAI fits into ESG work in the real world—across environmental impact, supply chains, reporting and compliance, social impact, and governance. You’ll explore concrete examples from companies using AI today (from building energy optimization and logistics to ESG drafting workflows and compliance copilots), plus a detailed case study on Unilever’s GenAI-driven sustainable product innovation.
