Abstract: Teaching strategies for interdisciplinary integration of flexible electronics and artificial intelligence are explored in response to demands on education due to rapid iteration of intelligent technologies and industrial innovation. Deficiencies in current teaching content, methods, and assessment approaches are analyzed. A reform pathway centered on interdisciplinary knowledge integration is proposed. This involved the use of innovative teaching models and strengthened system-level practice. Student comprehension will be enhanced in intelligent perception, algorithm design, and hardware-software coordination, to cultivate versatile innovative talents for advances in flexible electronics and artificial intelligence.