Sustainable Innovation with GenAI

Harnessing Generative AI to Drive Sustainable Solutions Across Industries

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

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

Description
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, including

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 changes. 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.

Who this course is for:
- This learning opportunity is ideal for sustainability professionals, social impact practitioners, and GenAI experts, as well as anyone interested in exploring the intersection of artificial intelligence and sustainability. Whether you're focused on environmental innovation, driving social change, or harnessing emerging technologies to build a more resilient future, this program offers valuable insights into how generative AI can empower sustainable decision-making, optimize resource management, and accelerate impact-driven initiatives.
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