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Overview
This two-day workshop will delve into the application of artificial intelligence (AI) in processing and interpreting environmental data. Participants will explore various AI techniques, including Large Language Models (LLMs), and engage in hands-on exercises to gain practical skills applicable to their research.
Course Structure
The course will cover essential topics such as AI for climate adaptation and mitigation, environmental monitoring, and prediction models. Participants will learn through a blend of theoretical insights and coding labs, ensuring they can apply these techniques to real-world scenarios. Notable course leaders include Olof Mogren and Murathan Kurfalı, who will guide attendees through the latest methodologies in AI for environmental applications.
Target Audience
This course is aimed at doctoral students, postdocs, and early-career professionals with basic programming skills. No prior experience in AI is required, making it accessible for those eager to enhance their understanding of AI tools in climate-related research.
Additional Information
The course is free to attend, but participants must confirm their attendance to avoid a no-show fee. The application deadline is June 19, 2026. For more details, visit the event website.
