This paper proposes a strategy to support the qualification system and analyze discussions to strengthen incumbent elementary school teachers' artificial intelligence (AI) and digital capabilities as teacher education becomes important to foster digital talent. To this end, we looked at previous studies on AI and digital-related teacher certification at home and abroad, established a support strategy for the qualification system, conducted a survey on the necessity of 5,000 incumbent teachers nationwide, and analyzed teachers' responses through technical statistics, t-test, ANOVA, and post-analysis. Teachers answered the need with a minimum average of 3.67 or more, and there was a difference in response by background variable. Based on the teacher survey, we organized the support strategy into detailed tasks and conducted a Delphi survey of 15 experts. The response results were analyzed by content validity ratio, consensus, convergence, and stability, and the subjective responses of teachers and experts were analyzed through text mining and opinion mining. Experts expressed concern about introducing the system, although the proposed detailed strategy was systematically structured. Therefore, a follow-up study on the legitimacy and effectiveness of the qualification certification system is required. This paper is a study related to specific support strategies to realize 1 million digital talents and is meant as a preliminary study that can provide implications for future policy decisions.