Artificial Intelligence

From classical machine learning to the frontiers of symbolic computation and the latest LLM technology, Wolfram Language provides a unique, integrated environment for artificial intelligence (AI) research, education and deployment. Wolfram U courses provide instruction in foundational AI technologies, tools and concepts, including machine learning, neural networks, natural language processing, computer vision and more. Learn to use Wolfram AI Assistant and explore how to build, customize and deploy AI solutions using Wolfram technologies.

These courses cover topics from introductory explanations to generative AI capabilities and advanced AI applications across text, images, audio and data analysis. Earn course completion certificates and Wolfram Level 1 proficiency certifications and develop an independent project for Level 2 certification for Applied Expertise in Wolfram Technology for AI.

Upcoming Events

  • OCT 6 | Online

    Wolfram Language and LLMs

    Modern LLMs can be incorporated into traditional computational workflows and used to power programming operations. This course will show you different ways you can use LLM technology alongside Wolfram Language, including how to use the conversational interface of Wolfram AI Assistant, the programmatic operations made possible with built-in LLM functions and Wolfram MCP. This course is part of the series Exploring AI Foundations with Wolfram Tools.

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  • OCT 13 | Online

    Introduction to Neural Networks in Wolfram Language

    This course provides an introduction to the state-of-the-art Neural Net Framework in Wolfram Language. You will learn how to explore the Wolfram Neural Net Repository for pre-built and pre-trained models and how to apply them to your own dataset.

  • On Demand | Online

    AI Assistance in Wolfram Notebooks

    Learn how to quickly generate, modify and debug Wolfram Language code directly within the notebook interface using the built-in Wolfram AI Assistant. This webinar demonstrates how conversational prompts can be converted into precise computational code, creating an accessible on-ramp for beginners and a time-saving tool for advanced users.