AI is already reshaping the way we live and work, but what role can it play in tackling the effects of climate change? This short, practical course analyses how we can harness the power of AI to drive climate solutions, from planning resilient cities to protecting nature and powering the energy transition. Along the way, you'll hear from Stanford experts, analyse global case studies and reflect on what this could mean in a public sector context.
Apolitical. Date unknown. AI and Climate: Trade-offs and Transformation. https://apolitical.co/en/courses/ai-and-climate-trade-offs-and-transformation/default (AI & Environment Resource Hub; record atlas-3c0a2ff73c46; collection snapshot 2026-09-15).
Classification and context
Included in the original Course collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
Availability, fees, and enrollment dates may have changed since collection. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.
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Shared topics: Energy and electricity; Climate and greenhouse gases; Biodiversity and ecosystems; Weather, hazards, and adaptation; Built environment and infrastructure
This course will help you understand AI's climate implications and identify practical next steps within your organization. The course begins with demystifying the connection between AI, Large Language Models (LLMs), data centers, and energy and water demand. Then you will learn about AI's environmental footprint, the related environmental and community impacts, you will evaluate real-world applications of AI across climate adaptation, energy transition, and nature conservation, and understand the business and policy landscape shaping corporate decisions.
Coursera
Shared topics: Energy and electricity; Climate and greenhouse gases; Biodiversity and ecosystems; Weather, hazards, and adaptation
This article examines how advanced digitalization and AI can enhance spatial energy planning and environmental assessments in Austria, offering solutions to data deficiencies that currently hinder biodiversity-friendly renewable energy transitions.
IAIA
Shared topics: Energy and electricity; Climate and greenhouse gases; Weather, hazards, and adaptation; Built environment and infrastructure
We are happy to share this strategic report–AI and Climate Change: The Global South Facing the New Geopolitics of Innovation–written by Lori Regattieri and jointly launched by CIPÓ and the Green Screen Coalition. The report articulates key connections between energy infrastructures, climate justice and purported AI solutions for the “energy transition”. Their work argues for multilateral, pluriversal, and multisectoral approaches to digital infrastructure and industrial policy. The report names the violence of the “logic of expansion” and the fallacies of transition, which “simultaneously drives energy regimes and artificial intelligence systems”. Lori’s critique on the entanglement of many different social and political issues in Brazil is critical in a time where the technology industry lays the groundwork to be the saviors of COP30 in Belem, Brazil. With COP less than two months away, the report provides a powerful framing for those curious about the industrial dynamics in the region, and the ontological logic underpinning them.
Green Screen Coalition
Shared topics: Energy and electricity; Climate and greenhouse gases; Biodiversity and ecosystems; Built environment and infrastructure
AI and ML optimize optoelectronic systems for sustainability by enhancing energy efficiency, renewable energy harvesting, environmental monitoring, and smart cities while also advancing ocean optics and photonics for marine ecosystem monitoring and climate change mitigation.
