This applied, hands-on course teaches you how to manage models through their useful life cycle. You start by creating a modeling project, and then you add and compare models to it so that you can identify a champion model. The course uses models that are created using SAS Advanced Analytics capabilities and Python and R languages. The course also shows how to implement procedures that ensure that model governance and oversight approval is being followed by implementing workflow. <p>You learn how to test a model in the production environment to which it will be deployed. After the model test runs successfully, you learn how to schedule the model to run automatically. <p>Further, the course shows how to measure and monitor the ongoing performance of model accuracy over time. The performance monitoring process will also be scheduled to run automatically in class. <p>An optional lesson shows how to register and score four types of SAS Visual Text Analytics models.