This study explores the significance of translation and interpretation training in multicultural contexts, alongside the critical role of conversational artificial intelligence (AI) utilization. Anticipated in 2024, South Korea is set to be the first country in Asia where the foreign population exceeds 5% of its total, heralding its transition into a multiethnic and multicultural society. This shift amplifies the need for robust translation and interpretation education, particularly for those not native in Korean. Despite the rising adoption of conversational AI like ChatGPT, there exists a notable deficiency in the understanding and application of these technologies among translation learners. The discourse thus sheds light on the educational importance of prompt engineering, offering insights into effective prompt formulation strategies to leverage AI in translation assistance. The research outcomes underscore that prompt clarity, specificity, and the provision of adequate context substantially enhance translation quality. The implementation of a “Prompt 1+2” strategy notably reduced Translation Edit Rate (TER) values, signifying advancements in translation accuracy and fluency. However, AI translations still face challenges in fully comprehending linguistic, cultural, and structural nuances. The study advocates for an educational strategy centered around prompt engineering to equip learners with the ability to navigate AI translation limitations and refine translation quality. This approach introduces a novel educational direction in the application of AI within translation and interpretation training, aiming to elevate the quality of education in this arena.