In the credit system, academic advising has become an essential factor for student success in universities. It is a student-centered initiative that promotes student engagement in the institution by supporting students in their academic and career goals. This study presents a comprehensive and effective academic advising model for Information Technology students, combining the traditional role of academic advisors with advanced technologies such as artificial intelligence and machine learning. The proposed model integrates virtual assistants to answer training regulations and curriculum questions, personalizes learning paths, and automatically recommends courses based on real-world data. The pilot study results on 100 IT students from second to four years show that the system significantly improves their access to information, learning resources, and satisfaction. This study marks a significant step forward in the application of AI in higher education, opening the potential to improve learning efficiency and training management on a large scale.