Background and Significance This project aims to establish a fully online, asynchronous "Certification in Artificial Intelligence for Healthcare Professionals" at the Medical Sciences Campus of the University of Puerto Rico (UPR-MSC), which could also serve as a valuable resource for the Network of the National Library of Medicine (NNLM) in training its members. By leveraging this certification, NNLM could promote and facilitate AI literacy for health information seeking, particularly in consumer health. The certification will be developed and implemented using existing resources at the campus, which have experience in organizing previous courses in Data Science, Artificial Intelligence, and Biomedical Informatics. These resources bring together expertise in biomedical informatics, artificial intelligence research, instructional design for online education, and digital library resources, ensuring a comprehensive and cutting-edge training experience. Additionally, NNLM’s extensive collection of health information tools, such as MedlinePlus, PubMed, and the NNLM Training Office’s educational programs, will be integrated into the certification to enhance accessibility to reliable health information and provide practical applications of AI in medical librarianship and consumer health education. This collaboration would support a broader goal of equipping healthcare professionals and information specialists with the skills needed to navigate and apply AI-driven technologies in the evolving digital health landscape. The certification will provide structured, interdisciplinary training in AI applications for education, clinical practice, and research, addressing a critical skills gap in healthcare technology integration. Course content is expected to cover key AI applications, including natural language processing (NLP) for clinical documentation and decision support, machine learning for disease prediction and personalized medicine, AI-driven chatbots for patient engagement and health information retrieval, and computer vision for medical imaging analysis. Additionally, the program will explore ethical considerations, bias mitigation in AI models, and best practices for integrating AI tools into healthcare workflows. This initiative aligns with the NNLM Region 2’s goal of improving information access and digital literacy for healthcare professionals and educators, empowering them to leverage AI for enhanced patient care, research, and health information dissemination. Artificial Intelligence (AI) is transforming healthcare by enhancing diagnosis, treatment planning, patient monitoring, and medical research. However, many healthcare professionals lack formal training in AI concepts, applications, and ethical considerations. This certification program will bridge that gap by equipping professionals with foundational and advanced AI skills tailored to their specific professional roles. For instance, clinicians will learn how to use AI-powered decision support tools to predict patients' diagnosis and treatments, medical librarians will explore AI-driven search optimization techniques for improving access to health information resources, and public health professionals will gain insights into leveraging machine learning for disease outbreak prediction and health disparities analysis. By providing hands-on exposure to these real-world applications, the program will prepare participants to responsibly and effectively integrate AI into their practice, ultimately improving healthcare outcomes and information accessibility. Existing teams at UPR-MSC will be contributing to the development of the certification. RCM Online ensures seamless delivery of digital learning experiences, while the Academic Affairs Deanship and Library support curriculum accreditation and access to essential AI resources. RCM-Online and RCMI-IIS Core specialize in informatics and data science applications, making it key players in the design and implementation of AI training. They bring expertise in Data Science, AI model development and healthcare data analysis.