Abstract: Electrical and Electronics Experimental Teaching serves as a core practical component in engineering education, functioning as a crucial vehicle for students to comprehend electrical principles, master engineering methodologies, and cultivate innovative thinking. With the rapid advancement of artificial intelligence (AI), big data, and educational informatization, the educational paradigm is undergoing a profound shift from “experience-driven” to “intelligence-driven” approaches. Breakthroughs in AI technologies, such as intelligent recognition, process analysis, and virtual simulation—have provided technical support and innovative opportunities for the reform of electrical and electronic experimental teaching. The National Demonstration Center for Experimental Electrical and Electronic Education (Harbin Institute of Technology), adhering to the educational philosophy of “student-centered, driven by student learning and developmental outcomes” has leveraged artificial intelligence as a driving force. Through the development of intelligent experimental resources, ubiquitous experimental platforms, comprehensive AI agents, and structured curriculum knowledge graphs, the center has established a new ecosystem for experimental teaching characterized by autonomy, personalization, and ubiquity. Practice has demonstrated that the reform effectively enhances students’ learning interest, practical skills, innovative awareness, and digital literacy, offering a replicable pathway for the digital and intelligent transformation of engineering practical education.