The agenda will explain how to use natural language processing to map a word or phrase into a vector space, leveraging generative AI to learn relationships between words and map these relationships into the vector space. Practical applications include integrating cybersecurity materials into AI-generated basic correlation catalogs and establishing vector relationships. Additionally, past exam examples will be inputted into generative AI to facilitate comprehension and establish question vector dimensions, ultimately achieving an assisting effect in professional cybersecurity certification through interactive questioning with examinees.