The AI community is constantly creating and improving sophisticated tools for visualizing, understanding, and investigating AI algorithms. Because these tools are designed by and for researchers, they do not always present a welcoming interface to students learning the discipline for the first time. This paper presents a set of short assignments that scaffold three freely available libraries useful for AI work. We have found that activities such as these give undergraduate students the confidence and capabilities crucial to future success with open-ended AI investigations. In addition, the self-guided tasks free classroom time from software details that are better learned in a hands-on setting.