The use of artificial intelligence (AI) in healthcare mandated curricular changes to prepare medical students for the era of AI. Basics of AI design, and the ways of using AI in medical profession should be integrated into the medical curricula. This study aims to describe the design, implementation, and evaluation of an innovative online course on AI for undergraduate medical students. The course was introduced within the new competency-based undergraduate medical programme for third-year undergraduate medical students at Alexandria Faculty of Medicine. A non-probability sample of 244 students was included. Evaluation of the course followed Kirkpatrick’s model. For students’ reaction (level 1 Kirkpatrick’s model), a self-administered questionnaire was used to measure students’ perceptions towards course content, technology, instructors, support received, and course assessment using both Likert scale and open-ended questions. For students’ learning (level 2 Kirkpatrick’s model), quasi-experimental design (pre-test and post-test) was used to evaluate students’ learning (level 2). Multiple-choice questions were used for the pre-test and post-test questions. In addition, a focus group
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