This study examines the professional development needs of teacher educators in Ghana regarding Generative Artificial Intelligence (GAI). A webinar was conducted to enhance their understanding and applications of GAI in teacher education, with 307 participants from diverse backgrounds, including teacher educators, administrators, and in-service teachers. The webinar covered topics such as the definitions and applications of AI and Machine Learning (ML), the potential benefits of GAI, and ethical considerations. Participants expressed a range of familiarity with GAI, from first-time learners to those with existing knowledge. They demonstrated a strong interest in incorporating GAI into their classroom practices, particularly for tasks like automatic scoring, academic writing, and image generation. However, they also identified several challenges, including the high cost of premium GAI tools, the need for training on prompt engineering, and ethical issues such as transparency and bias. The study recommends that institutional support should be provided to expand access to GAI tools and features, and that GAI, including explainable AI and prompt engineering, should be integrated into teacher education and continuous professional development programs. Additionally, the importance of strengthening educators' skills in innovative assessment practices is emphasized to address academic dishonesty and ensure ethical use of GAI.This study examines the professional development needs of teacher educators in Ghana regarding Generative Artificial Intelligence (GAI). A webinar was conducted to enhance their understanding and applications of GAI in teacher education, with 307 participants from diverse backgrounds, including teacher educators, administrators, and in-service teachers. The webinar covered topics such as the definitions and applications of AI and Machine Learning (ML), the potential benefits of GAI, and ethical considerations. Participants expressed a range of familiarity with GAI, from first-time learners to those with existing knowledge. They demonstrated a strong interest in incorporating GAI into their classroom practices, particularly for tasks like automatic scoring, academic writing, and image generation. However, they also identified several challenges, including the high cost of premium GAI tools, the need for training on prompt engineering, and ethical issues such as transparency and bias. The study recommends that institutional support should be provided to expand access to GAI tools and features, and that GAI, including explainable AI and prompt engineering, should be integrated into teacher education and continuous professional development programs. Additionally, the importance of strengthening educators' skills in innovative assessment practices is emphasized to address academic dishonesty and ensure ethical use of GAI.