The aim of this course is to introduce artificial intelligence technologies, enable participants to acquire fundamental AI literacy, and teach them how to use generative AI tools effectively and efficiently.

This course provides a comprehensive introduction to the fundamental concepts of artificial intelligence (AI), beginning with its historical development and extending to its current applications, particularly in laboratory sciences and veterinary healthcare. The course examines the emergence and evolution of AI from the period initiated by the Dartmouth Conference to the present day and explains key concepts such as machine learning, deep learning, data analysis, and modeling. Students will learn the operating principles of generative artificial intelligence and gain an understanding of how AI can be utilized in the interpretation of laboratory data, evaluation of blood and tissue analyses, disease diagnosis, and veterinary clinical processes. Throughout the course, generative AI tools such as ChatGPT, DALL·E, and Midjourney will be introduced, and their applications in professional practices, including report writing, patient record management, educational material preparation, and visual analysis, will be demonstrated. In addition, students will learn how to write accurate and effective prompts in order to communicate efficiently with AI systems. The fundamental principles of prompt engineering will be covered, along with their application to interpreting laboratory results and analyzing clinical scenarios. The course also addresses the adaptation of AI-assisted content creation to the field of veterinary healthcare, including the preparation of clinical reports, informational materials, and social media content. Furthermore, text-to-image generation techniques will be explored for the visualization of anatomical structures, disease findings, and laboratory procedures.