This multiple case analysis examines how AI ethics education's unique characteristics transform traditional e-learning approaches in synchronous and asynchronous environments. Through analysis of two contrasting cases -- Loyola Marymount University's synchronous workshops and Usher and Barak's asynchronous module -- the study investigates how rapid technological evolution, real-world implications, and ethical complexity require adaptations to established e-learning methods. Findings demonstrate that synchronous formats excel at facilitating immediate engagement with emerging ethical dilemmas through real-time discussions and collaborative tools, while asynchronous approaches enable deeper reflection on complex ethical frameworks through structured case studies and self-paced learning. The study reveals that effective AI ethics education requires balancing these approaches: synchronous delivery for addressing evolving challenges and fostering collaborative exploration, and asynchronous delivery for developing systematic ethical reasoning skills. This research provides evidence-based recommendations for designing e-learning experiences that prepare students to navigate AI's ethical complexities in academic and career contexts. [This title via the URL is different than the title via the PDF for this article. The URL title is: "Designing AI Ethics Education: A Comparative Analysis of Online Implementation Models."]