This course introduces students both to automated technologies important to linguists and linguistic skills important to successful translation automation. Through hands-on exercises, students will learn to integrate AI, machine translation, and post-editing into the translation workflow where appropriate. Students will also learn linguistic roles in source preparation, data preparation, machine translation customization, quality evaluation, and more to add value to machine translation and AI projects beyond post-editing.