Amid the ongoing wave of the artificial intelligence revolution and industrial transformation, emerging industries are imposing increasingly stringent demands on the engineering design and innovation capabilities of computer science students. Despite having completed a broad spectrum of foundational courses—including C programming, Python programming, digital systems, and deep learning—many undergraduates continue to face difficulties in effectively integrating knowledge acquired from these diverse disciplines. To address this challenge, we propose the integration of intelligent educational robots into the junior-level Embedded Systems course. This initiative aims to enhance students’ practical skills and foster innovative thinking through AI-driven instructional design, the development of innovative experimental projects, and the implementation of multi-dimensional achievement assessments. Additionally, it facilitates the seamless integration of foundational course knowledge. The course adopts a novel blended teaching model that combines “intelligent guidance” with “engineering practice”, striving to overcome the limitations of conventional pedagogical approaches. This model seeks to establish a new AI-enhanced educational ecosystem and holistically advance students’ comprehensive competencies and interdisciplinary proficiencies.