Abstract: Amidst the global manufacturing transformation toward digitalization, networking, and intelligence, intelligent manufacturing has emerged as the core driver of industrial upgrading. To address the practical teaching demands of intelligent manufacturing majors under the emerging engineering education framework, this study confronts deficiencies in traditional experimental teaching models—including content resources, teaching equipment, evaluation systems, and hands-on skill development—by proposing the innovative "233" practical teaching reform through an intelligent manufacturing industry-academia integration platform. The model establishes a dual-element industry-academy collaborative education system, develops three specialized laboratory clusters (digital design/simulation, smart production systems, and industrial IoT applications), and implements triple integration (project-based learning, interdisciplinary knowledge, and industry-academy-research synergy). This reform has effectively accelerated intelligent manufacturing program development, enhanced students' learning engagement and practical competencies, elevated innovation-entrepreneurship capabilities, and provided critical talent and technical support for intelligent manufacturing.