The Chemical Engineering and Technology program is characterized by strong engineering orientation and practical application, where the quality of practical teaching directly impacts students 'professional competencies and engineering literacy development. However, current practical education still faces challenges such as incomplete process scenario representation, monotonous teaching methods, and outdated evaluation mechanisms due to safety risks, equipment costs, and limited teaching resources. To enhance practical teaching effectiveness, this study explores teaching reforms driven by the integration of virtual simulation and artificial intelligence. Based on analyzing practical teaching challenges in chemical engineering programs, we propose a competency-oriented practical teaching model featuring virtual-real integration and data-driven support. Implementation pathways are discussed through key areas including application of typical unit operations, curriculum system integration, faculty capacity building, and industry-academia collaboration. Research findings indicate that the fusion of virtual simulation and AI technologies significantly improves teaching authenticity, interactivity, and precision, while enhancing students' process understanding, operational skills, and problem-solving abilities. This study provides innovative insights for practical teaching reforms in chemical engineering disciplines.