Case-based practical teaching methods are widely used in the teaching of Artificial Intelligence Technology courses, but there are common problems such as low student participation, serious "toy-like" of cases, and disconnection from actual talent demand. To address these issues, this paper explores a project-case-guided practical teaching method oriented by talent market demand and aimed at promoting the subjective initiative of students. Based on typical and currently mainstream artificial intelligence technologies, the method integrates demands and resources from multiple sources, including scientific research projects, national Class-A competitions, and enterprises, to design a three-level, full-process project case system of "basic-advanced-practical". Through phased and step-by-step guidance of cases, it enables students to independently learn theoretical and practical knowledge of the course, enhancing their hands-on abilities while improving their competitiveness in industry employment.