In response to the challenges faced by undergraduate artificial intelligence (AI) education under the emerging engineering education (EEE) framework-namely, fragmented knowledge acquisition, weak capability transfer, lack of systems thinking, and insufficient cultivation of core competencies-this study proposes a four-dimensional integrative model known as Knowledge-Ability-Thinking–Quality (K-A-T-Q). Building upon this model, a triadic, synergistic development pathway is constructed, encompassing curriculum system restructuring, pedagogical innovation, and assessment mechanism transformation. Practical implementation demonstrates that this integrated approach significantly enhances students’ capacity for knowledge integration, technical adaptability, systems thinking, and overall quality development, thereby offering a replicable and scalable model for advancing AI undergraduate education.