The development of RISC-V technology faces challenges such as the existence of low-quality online courses, fragmented content, a lack of hierarchical and systematic course series, insufficient online experimental practice environments, and limited channels for learning Q&A. The paper sets out to develop a standardized model for assessing the quality of RISC-V courses. In addition, it puts forward a reconstruction method based on course classification tags, organized the individual video into a structured course series. The solution integrates a online RISC-V lab with offline community activities, thereby establishing an integrated online-offline practical teaching environment. This project has produced over 1,000 original RISC-V lecture videos, with total views exceeding 1.3 million. The experimental results demonstrate that the systematically organized course collections generated by this method significantly improve viewership and user engagement, providing a systematic solution for the development of the RISC-V education ecosystem.