This study examines the effectiveness of corpus-based linguistic analysis in enhancing the professional language competence of 60 undergraduate artificial intelligence students at Fergana State Technical University. Over the course of a semester, students in the experimental group engaged in hands-on analysis of authentic AI-related texts using specialized corpus linguistics tools, namely AntConc and Sketch Engine. These tools enabled students to explore language data through frequency lists, lemmatization, collocation identification, and topic modeling, providing deep insights into the usage of domain-specific vocabulary and phraseology. In contrast, the control group followed the traditional curriculum, which focused on theoretical instruction and instructor-led exercises without exposure to corpus technologies. Pre- and post-intervention assessments measured students’ proficiency in using technical terminology, constructing professional sentences, and recognizing collocations relevant to the AI field.