This three-part course sequence will guide you in using the computational power of Wolfram technologies as a foundation for modern AI systems. The first session in the series shows how to use the latest AI tools within the Wolfram ecosystem–use Wolfram Notebook Assistant, embed LLM conversations into notebooks, access LLM capabilities directly in your Wolfram Language workflows and build custom agents. The second course covers core concepts of classic machine learning like supervised and unsupervised learning as well as the easy-to-use machine learning superfunctions available in Wolfram Language. In the third 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. Each course is available individually, but the course sequence gives you the convenience of a unified schedule and an invitation to a special office hour session.

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