The manuscript outlines the development of an undergraduate course titled "Generative Artificial Intelligence for Business," aimed at equipping students with the knowledge and skills necessary to leverage generative AI technologies in various business contexts. The course framework covers fundamental concepts of generative AI, including technologies like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), and emphasizes practical applications in marketing, product design, and customer engagement. The curriculum integrates ethical considerations, addressing issues such as data privacy and algorithmic bias, to prepare students for responsible use of AI in business. The course structure includes lectures, hands-on labs, case studies, and a capstone project, fostering a blend of theoretical understanding and practical experience. Faculty training and institutional support are highlighted as crucial for effective course delivery, ensuring that instructors are equipped with the latest knowledge in AI technologies. The document also discusses challenges such as keeping course content up-to-date with rapid technological advancements and ensuring accessibility and inclusivity for all students. The proposed course aims to produce graduates who are not only technically proficient but also capable of critical thinking and ethical decision-making in the application of generative AI in business settings.