This tutorial is designed with two purposes. First, it teaches about Locally Weighted Learning (LWL) and what it can be used for. Second, it demonstrates the use of Vizier 1.0, a software package for doing Locally Weighted Learning. The reader may take at least two correspondingly different approaches to using this tutorial. The Vizier user may spend additional time trying out the various software options available each time interaction with the software is demonstrated, while glossing over the algorithmic details underlying the software. Alternatively, the Locally Weighted Learning student may choose to read this without using the software at all (although we believe that using Vizier is an excellent way to learn about LWL). Additional information and examples of LWL can be found in [1].