The development of digital technology provides more possibilities for the learning of students in French courses. This paper explores the learning path design algorithm for French courses with the research purpose of personalized assisted learning. The learner portrait model is applied to the design of French courses, and the optimization and improvement of French learning paths are carried out by analyzing and combining the learning process of learners. Then, from the perspective of blended learning and the personalized learning interests of French students, we describe the parameterized representation method and process of French students’ learning process data, student characteristics and knowledge point information. Combining the above data parameters, the framework of Sequence Generation Algorithm Based on Multi-Factor Combination (SGAMFC) is proposed. The algorithm processes course information, calculates user similarity, and gives a French learning path that matches user characteristics. The designed learning path modeling method provides the best performance in overall compared to similar modeling methods with 92.00%, 87.00%, and 87.00% precision, recall, and F1 values, respectively.