Abstract: The Inorganic Chemistry serves as a fundamental course for the students majoring in science and engineering at Northeastern University, playing an indispensable role in cultivating chemical professional foundations and cultural competencies. Collaborating with the AI4E team from Xuetang Online, our course team has leveraged comprehensive digital resources, including national first-class online courses and self-compiled textbooks. Through the application of deep learning technology, we have developed a specialized course knowledge base, constructed a knowledge graph, and established effective connections between theoretical knowledge, textbook content, video explanations, and self-assessment exercises. The implementation of a 24-hour intelligent learning companion provides students with continuous self-learning support. Meanwhile, AI teaching assistants offer personalized knowledge explanations and exercise tests based on individual student needs, thereby enhancing self-directed learning capabilities. The resource search function precisely recommends learning materials, broadening students' academic perspectives. Educators can utilize intelligent lesson preparation assistants and one-click question generation tools to enrich their instructional designs. Furthermore, the integration of AI learning companions with Rain Classroom software has diversified course teaching methodologies. The incorporation of AI technology enables instructors to monitor students' learning progress, promptly adjust teaching strategies, optimize instructional processes, and ultimately enhance course effectiveness.

Key words: AI course, Inorganic chemistry, Self-learning mode, Course quality and efficiency improvement