The “AI Pipelines in the Clinic” course focuses on developing and deploying end-to-end AI systems that enhance clinical workflows and patient care. Students will learn to design AI pipelines for data acquisition, preprocessing, model training, validation, and deployment within clinical settings, with a focus on safety, accuracy, and compliance with healthcare standards. The course emphasizes real-world challenges, such as data privacy, interpretability, and integration with existing clinical infrastructure. Through practical projects and case studies, participants will gain experience in building AI tools that support decision-making, improve diagnostics, and optimize patient outcomes in medical environments.