This chapter explores the integration of AI-driven churn prediction (CCP) methodologies within business education, focusing on their application in the Education sector. Employing a literature review methodology, the study synthesizes existing research on CCP and its role in predicting customer and employee attrition. We examine key indicators, including app usage changes, service interactions, income fluctuations, and significant life events, which AI models use to forecast churn. The chapter outlines the methodological approach, highlighting how the review of past studies informs the discussion of CCP's educational benefits. By incorporating CCP into business curricula, educators can teach core concepts of AI and machine learning through practical examples, enhancing students’ skills in data analytics and model development. The study underscores the potential for CCP to prepare future leaders for data-driven business environments. The findings are contextualized within the broader aims of the chapter, ensuring coherence and relevance to the proposed educational outcomes.