Course Overview The course is designed to provide students with a starter toolkit comprising AI tools most relevant to life science research. Students will gain foundational knowledge in predictive and generative AI, with a focus on tools for bioinformatics, protein structure predictions, protein interactions (RoseTTaFold, RFDiffusion, AlphaFold2), and computer vision techniques for image and video analysis applicable to microscopy images and other types of data. The course will include case studies on AI applications by Swedish industries and academic researchers, along with discussions on the ethical aspects of AI. Upon completion, students will be able to navigate available tools, understand the state-of-the-art AI methods, and gain insight into the AI-based facilities available within Sweden. Students who attend the practical component will gain hands-on experience through a computer vision-related project provided as part of the course. ________________________________________ Content The course consists of interactive lectures on AI tools, providing students with opportunities to try out some of the AI tools in a supervised setting. These lectures will be supplemented with short homework assignments and discussions. Additionally, the course includes a practical segment where students will work on an AI-based computer vision project (object detection, segmentation, target tracking, or similar). This project will be designed specifically for the course, and students may use their own research data, if applicable. Students can also choose an alternative to the practical project: a review of an original study that uses an AI tool of their interest. ________________________________________ Prerequisites Registration priority will be given to PhD students from SLU, followed by external PhD students. However, staff from SLU and other universities are welcome to participate if there are available slots. ________________________________________ Registration To register for the course, please follow this link: Registration Link. While lectures and seminars are open to anyone interested, the practical component of the course is exclusively available to registered participants. ________________________________________ Literature •Scientific papers presented during lectures and seminars. •Online AI learning resources. ________________________________________ Examination •Students must attend at least 80% of the lectures and seminars, including the final seminar. •The examination will consist of a short presentation during the final seminar. Presentations will be discussed by all participants. oStudents in the practical part will present their projects, including a brief introduction, summary of results, issues encountered, and troubleshooting. oStudents attending only the theoretical part will present a summary of a published article on the use of AI tools in biological research. Presentations will include a brief background, description of the AI tool, results, and discussion of limitations and troubleshooting. ________________________________________ Course Organizers: •Alyona Minina: alena.minina@slu.se •Jonas Hentati-Sundberg: jonas.sundberg@slu.se •Jonas Ohlsson: jonas.ohlsson@slu.se ________________________________________ Additional Information The course is organized by Alyona Minina (Department of Molecular Sciences), Jonas Hentati-Sundberg (Department of Aquatic Resources), and Jonas Ohlsson (Department of Molecular Sciences) on behalf of the SLU Organism Biology and Focus on Food and Biomaterials research schools. The course will be held at Uppsala BioCenter, Ultuna campus, SLU. The program accommodates a maximum of 15 students per session, though lectures will remain open to a larger audience. Course materials, schedule, and useful links will be available on the dedicated course website: Course Website. ________________________________________ Responsible Departments: •Department of Molecular Sciences, BioCenter, SLU •Department of Aquatic Resources, SLU.