AI Tools

Catalog description

This course is an introduction to the tools, languages, and methods to support artificial intelligence. Topics include Python programming, functional programming, benchmarking, and libraries for data-driven computational problems. Deep learning and machine learning concepts will also be introduced using hands-on exercises to develop an understanding of capabilities and limitations. Libraries used will include Pandas, NumPy, SciKitLearn, MatPlotLib, as well as deep learning libraries such as Tensorflow and Keras.