This paper addresses the prominent issues of "disconnection between posts and curricula, and separation of learning from application" in higher vocational education. It proposes a digital intelligence-driven "Demand-Learning Capacity" dual-cycle educational model. Utilizing AI Agents as the technological engine, this model systematically integrates five key components, including on-campus theoretical instruction and enterprise practical training, through a dual-cycle mechanism. It aims to achieve dynamic alignment between talent cultivation and industrial demands, thereby providing a new framework for the transformation of higher vocational education.