This chapter presents how generative AI (GenAI) was integrated into postgraduate courses, with a focus on strategies that maintain academic integrity while enabling structured experimentation. It contrasts reactive measures, such as disciplinary actions after misconduct, with proactive approaches that include AI policies, usage guidelines, and faculty-supported exploration. The integration is structured across three approaches: course redesign and delivery, assessment brief redesign, and course evaluation adaptations. Practical approaches include redesigning group activities into applied, research-driven tasks; providing detailed GenAI usage instructions; requiring acknowledgement and reporting tools such as AI contribution forms, GenAI integration rubrics, and AI contribution assessment form; and adapting evaluation rubrics to ensure the inability of technology to act as a substitute for the student work. Through guided experimentation in these areas, students were able to explore GenAI’s capabilities and limitations, reflect on appropriate and inappropriate use cases, and strengthen their digital literacy, reflective synthesis, and ethical awareness. These integration practices, implemented across multiple courses, are discussed in depth as a structured intervention.