The rise of Generative Artificial Intelligence technology presents a novel opportunity for personalized talent cultivation within the field of landscape architecture education. Currently, the domain of landscape architecture education remains in the nascent stage of exploring the digitalization of teaching resources, procedures, and evaluations. Moreover, most of it is based on the bottom-line achievement concept of Outcome-based Education (OBE) and has established a relatively “standardized” talent cultivation model. In response to the transformation of “AI + Education”, it is necessary for landscape architecture education research to intensify its exploration in the directions of digitalization and personalization. Therefore, it is imperative to undertake research on educational reform concerning personalized talent development within landscape architecture education, particularly in the context of Generative Artificial Intelligence technology. Grounded in the theory of multiple intelligences and focused on landscape architecture education and instruction, it is essential to elucidate the experiences and insights gained from recent advances in digital and personalized educational reform research. On this basis, it then analyzes the problems of transforming landscape architecture education under the guidance of digitalization and personalization from three levels and six dimensions. Furthermore, it proposes systematic countermeasures from two aspects and eight points: clarifying the mechanism and path of the digital transformation of landscape architecture education driven by GenAI technology and constructing a new model of personalized talent cultivation in landscape architecture education under GenAI technology. Guided by this, the research focuses on the national first-class undergraduate major in landscape architecture at Fujian Agriculture and Forestry University. It conducts preliminary practices and explorations of personalized talent cultivation in landscape architecture education utilizing GenAI technology across four areas: creating a “multiple intelligence +” training program, promoting “personalized +” talent cultivation, constructing a “GenAI +” education and teaching system, and building a high-quality teaching guarantee system. We aim to explore the path of high-quality development in landscape architecture education within the context of the “four new” construction and digital empowerment, and to provide valuable experiences and references for related disciplines and specialties.