This practical course equips global health professionals with the skills to use generative AI more systematically, effectively and responsibly across research and professional workflows. Through hands-on exercises and real-world global health applications, participants will explore AI-supported approaches to evidence discovery and synthesis, research and data workflows, knowledge translation, grant development and other professional tasks. Throughout the course, participants will learn how to select appropriate tools, design reliable workflows, critically verify AI-generated outputs and integrate responsible AI practices into their day-to-day work.
Date & Time: Every Saturday from 26 September to 14 November at 13:00 (UTC)
Format: The course consists of eight live, interactive online sessions delivered over eight weeks. Each session combines short conceptual inputs and live demonstrations with guided exercises, individual or small-group activities, discussion and practical application to global health research and professional tasks. Between sessions, participants will have opportunities to reflect on and apply what they have learned through short activities, quizzes, readings and an online course forum.