This three-part course sequence will guide you in using the computational power of Wolfram technologies as a foundation for reliable AI systems. First, learn about the basic concepts of machine learning as well as the easy-to-use machine learning superfunctions available in Wolfram Language. In the second course, you'll learn about the state-of-the-art Neural Net Framework in Wolfram Language and how to explore the Wolfram Neural Net Repository for prebuilt and pretrained models. The third course in the sequence shows you different ways you can use LLMs with Wolfram Language, including how to use the conversational interface of Chat Notebooks and the programmatic operations possible with LLM functions. Each course is available individually, but the course sequence gives you the convenience of a unified schedule and an invitation to special office hour sessions.

The series includes three courses: Introduction to Machine Learning in Wolfram Language, Introduction to Neural Networks in Wolfram Language and Wolfram Language and LLMs. Learn more about this course sequence by going to the Wolfram U catalog.