ABSTRACT: As a field of study within in-class context, translation has always been profoundly subjected to language learning and teaching strategies. With the integration of technology into language learning in general and the translation industry in particular, translation methodologies and practices have witnessed significant developments to cope with the required level of competence demanded by market. Since then, the question of “How can university students majored in translation master translation competence?" has been a topic of debate. For quite some time, students have been receiving Traditional Translation Teaching (TTT) approaches; within the usual classroom settings. However, they had to seek the required translation training and knowledge about Computer Aided Translation (CAT) tools, Machine Translation (MT), and Neural Machine Translation (NMT) from actual localization and interpretation providers. But with the emergence of human-machine interactive models such as ChatGPT, Artificial Intelligence has become a prominent method for Generating Content (AIGC). The present study aims at investigating the best teaching methods and curriculum designs to help educators embed such technologies in teaching translation. Also, it sheds light on the necessity of Teaching Translation With Technology (TTWT) in universities' classrooms for students to develop the required translation competence.