Amidst the ongoing advancements in educational reform in this new epoch, the development of ideological and political curriculum components has increasingly emerged as a crucial mission within university instruction. Nonetheless, several challenges persist in the field of ideological and political education, including the disjointed nature of resources and the limited diversity in integration techniques. This study endeavors to integrate knowledge mapping with advanced learning technologies, using financial management as a case study, to investigate strategies for enhancing the quality and effectiveness of ideological and political instruction. The paper commences by examining the relevance of knowledge mapping and deep learning within ideological and political education, and it identifies prevalent issues in conjunction with the current state of financial management instruction. Building upon these insights, the paper proposes an optimized approach to establishing a network of interconnected ideological and political knowledge points through knowledge mapping, devising a structured educational framework, and implementing a deep learning model.