Introduction: The integration of generative artificial intelligence (AI) into medical education is a rapidly growing trend, offering innovative ways to enhance learning, especially in complex subjects such as pharmacology. Generative AI tools like ChatGPT can produce interactive and visually dynamic content, offering students a more immersive learning experience. This study explores the knowledge and attitudes of medical students towards using generative AI in pharmacology education, specifically assessing the effectiveness of an educational intervention. Materials and Methods: A prospective crossover study was conducted at Armed Forces Medical College (AFMC), Pune, targeting second-year MBBS students. The study involved a pre- and post-workshop evaluation of students' knowledge and attitudes using a validated questionnaire. The educational intervention was a workshop that focused on the use of generative AI tools in pharmacology, including hands-on sessions with AI-generated images and interactive discussions. Data collection spanned one month, and statistical analysis was conducted to assess changes in students' knowledge and attitudes post-intervention. Results: The workshop included 140 participants (82.2% male, 17.8% female). Pre-workshop, only 26.6% of participants were familiar with generative AI technologies, which increased to 34.3% post-workshop. Participants demonstrated a broader knowledge of AI tools like ChatGPT, DALL-E, and AtomNet after the workshop. There was a significant increase in the belief that generative AI images enhanced learning. However, concerns regarding the accuracy of AI-generated images persisted, highlighting the need for further quality control in AI applications. Discussion: The study revealed a positive shift in students' knowledge and attitudes towards generative AI technologies in pharmacology education. The increase in familiarity with AI tools and the perceived educational benefits of AI-generated images underscore the potential of these technologies to improve the learning experience. Conclusion: Generative AI holds significant promise for enhancing medical education in pharmacology. This study demonstrates that targeted educational interventions can improve students' understanding and confidence in using AI tools.