This study provides a generalizable methodology for assisting decision-makers in deciding on applied AI education; i.e., whether an organization should develop applied AI education, and if so, what such education should look like. We consider organizations in the broad sense, leaving room not just for higher education institutions but also for corporations and governmental entities to apply the methodology to train or upskill students and staff alike. In other words, we provide a methodology and tools to assist decision-makers to find their own way to an applied AI education format that suits their specific needs—like an applied AI compass. This work generalizes and builds upon earlier tailored efforts towards decision support for applied AI education at Linköping University with the goal of making the methodology available and more easily accessible to the AI education community.