With the relentless advancement and continuous evolution of artificial intelligence (AI) technology, its integration and application within the realm of software engineering specialty have witnessed an exponential growth. This paper endeavors to undertake a comprehensive and in-depth exploration of the multifaceted applications of AI in the practical teaching methodologies of software engineering. It seeks to meticulously construct "one body, two wings" architectural framework, alongside a multi-tiered and holistic practical teaching system, specifically tailored for software engineering within the progressive context of the "New Engineering" paradigm. The paper proposes a versatile and dynamic practical teaching model that is characterized by its multi-subject engagement, multi-channel delivery, and multi-stage progression. This model is fundamentally grounded in the synergistic collaboration between academic institutions and industry partners, leveraging the benefits of internships, and embedding the principles of innovation and entrepreneurship education. By drawing upon the rich and diverse teaching practices inherent to this specialized major, the paper elucidates a series of strategic approaches, conceptual ideas, and practical methods that are pivotal for driving the reform of practical teaching. These insights are meticulously examined from various critical perspectives, including the reform of the practical teaching system, the integration of innovation and entrepreneurship into practical education, the fostering of school-enterprise cooperation within the new engineering landscape, and the strategic development and construction of a proficient dual-qualified teacher team. Through these comprehensive analyses, the paper aims to provide a road-map for enhancing the efficacy and relevance of practical teaching in software engineering specialty, thereby bridging the gap between theoretical knowledge and real-world application.