All Classes and Courses

Turn Rough Ideas into Computation with Wolfram Notebook Assistant

Webinar | FREE

Watch this webinar on-demand anytime to learn more about Wolfram Notebook Assistant, an AI assistant that turns conversational input into precise computational code so that anybody can access the full power of Wolfram Language.

Exploring AI Foundations with Wolfram Tools

Instructor Led | FREE

Certification Levels: CompletionLevel 1Level 2

This three-part course sequence guides you in using the computational power of Wolfram technologies as a foundation for reliable AI systems. Discover concepts in machine learning, explore the Neural Net Repository and learn to use LLMs.

Learn to Use Chat Notebooks

Video Lesson | FREE

Chat Notebooks integrate LLM capabilities with powerful Wolfram Language features in a convenient notebook interface. This video shows how to get started using chat-enabled notebooks and teaches you about chat cell functionality. Learn how to use chat prompts to get help writing code, run calculations and create interactive visualizations.

Wolfram Data Science Boot Camp

Special Event | See Page for Details

Certification Levels: CompletionLevel 1Level 2

Learn how to leverage the capabilities of Wolfram Language to deliver world-class data science results in this two-week online boot camp. Interact with experts on machine learning, generative AI, dynamic visualization, automated reporting, and notebook-based interactive workflows.

Wolfram Language and LLMs

Instructor Led | FREE

Certification Levels: Completion

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 Chat Notebooks and the programmatic operations possible with LLM functions.

Build Custom Neural Networks

Webinar | FREE

Certification Levels: Attendance

This webinar covers the basics of building your own neural networks and the practical steps needed to train and retrain them. No prior machine learning experience is required.

Introduction to Machine Learning in Wolfram Language

Instructor Led | SEE COURSE SCHEDULE

Requirements: This course requires basic working knowledge of Wolfram Language.

Certification Levels: Completion

This course introduces some of the basic concepts of machine learning as well as easy-to-use machine learning superfunctions available in Wolfram Language. You will learn how to perform supervised and unsupervised learning tasks with just a few lines of code.

Introduction to Neural Networks in Wolfram Language

Instructor Led | FREE

Requirements: This course requires basic working knowledge of Wolfram Language.

Certification Levels: Completion

This course provides an introduction to the state-of-the-art Neural Net Framework in Wolfram Language. Learn about the Neural Net Repository and transfer learning, as well as how to train, test and look inside a neural net.

New in Wolfram 14.2 Webinar Series

Archived Event | FREE

See examples of how to incorporate chat with Wolfram Notebook Assistant into your workflow and get introduced to Tabular, a streamlined and efficient way to handle tables of data. Learn about new game theory functions, PDEs for magnetic systems and advances for doing algebra with symbolic arrays. The final session covers new functionality for video analysis and GPU capabilities.

The Neural Net Framework: A Gentle Introduction

Video Course | FREE

Learn how neural networks can be viewed as differentiable programs in the context of calculus. The course covers fundamental concepts related to building, training and validating neural net models. See how the symbolic nature of Wolfram Language and the Neural Net Framework itself make it easy to take apart layers in the network and create visualizations to help you understand how it works.

An Overview of Deep Neural Networks Applications

Video Lesson | FREE

This video lesson shows many examples of problems that can be solved with deep neural nets, including image classification, sequence prediction, speech recognition and question answering.

An Overview of Machine Learning in Wolfram Language

Video Lesson | FREE

This video gives an overview of the highly automated machine learning framework in Wolfram Language, which allows you to do so much with just a few lines of code. You will learn about high-level functions that are task oriented and can be applied to a variety of input such as text, images and numeric data. Examples include building a simple image search and classification system, topic classification of text and prediction of sale prices of homes.

Analyzing Text to Answer Fact-Based Questions

Video Lesson | FREE

This video class introduces FindTextualAnswer, the built-in Wolfram Language function that combines well-established techniques for information retrieval with state-of-the-art deep learning techniques to find answers in text. FindTextualAnswer analyzes text and can yield several possible answers, the probabilities of those answers being correct and other properties that can help you understand the context of each answer in response to your specific, fact-based questions. In this class, you will learn the scope of this function and some practical applications, as well as gain insights into how it is implemented and the deep learning approach available in Wolfram Language.

Applying Neural Networks Webinar Series

Archived Event | FREE

This webinar series takes you on a deep dive into the latest workflows for building, training and evaluating neural networks. See how neural net models are used to solve complex processing tasks involving image, audio and natural language data. Sessions include hands-on demonstrations, showing real-world applications using the latest built-in Wolfram Language functionality and neural net models. Pretrained models from the Neural Net Repository and customized models are shown.

Automated Data Science

Video Course | FREE

Learn about machine learning functions that have been tuned to automate the data science process. This video course shows examples of using computation with data that go beyond traditional statistical methods and highlight the role of automated modeling in the modern data science process. Automated classification and regression functionalities are demonstrated using the built-in Wolfram Language symbols Classify and Predict.

Automated Structure Discovery: Unsupervised Learning

Video Lesson | FREE

Wolfram Language has functions that work directly on many types of data and automatically extract some sort of structure from it. FindClusters, ClusteringTree and ClusteringComponents are examples of functions that perform the unsupervised learning task of clustering. ClusterClassify classifies new samples based on information gathered from unlabeled input data via clustering. Other functions like FeatureExtract, FeatureNearest, FeatureSpacePlot and DimensionReduce provide tools for automatic exploration of the data in the feature space. This video introduces these functions to get you started on unsupervised machine learning tasks. It is suitable for beginners without previous knowledge of machine learning.

Back to School with AI Tools and Wolfram

Video Lesson | FREE

This video explains how generative AI can be used to help students meet their learning goals and also help teachers teach and assess critical and creative thinking skills.

Big Problems with Big Data: Managing Risks in AI

Archived Event | FREE

Certification Levels: Attendance

This talk explores the issues you need to consider in making data-driven decisions. It discusses topics such as when machine learning is appropriate, sources of bias, validation and explainability of models and decision-making criteria.

Biodiversity Explorations with Machine Learning
(Study Group Sessions)

Archived Event | FREE

Learn to apply machine learning techniques and Wolfram Language functions to biodiversity data. These Study Group sessions begin by introducing you to biodiversity data access functions available with the entity framework built into the Wolfram Language and in the Wolfram Function Repository. Later sessions cover examples of classification, social media text analysis, audio processing of bird sounds and deploying a trained neural network image classifier to your mobile phone. Each session includes lessons, polls to review key concepts and practice problems.

Building a Data Science Pipeline

Webinar | FREE

In this webinar, you will learn the fundamental steps needed to complete a data science project from start to finish. Using a food dataset as a starting point, you will learn how to import, clean up, and restructure categorical data. Along the way, you will learn how to replace anomalous values, canonicalize data, handle missing values, and use machine learning to extract features from data.

Building and Training Basic Neural Networks

Video Lesson | FREE

The Wolfram Language neural network framework provides symbolic building blocks to build, train and tune a network as well as automatically process input and output using encoders and decoders. Learn how to do this in steps, along with examples of logistic regression and basic image recognition.

Building Applications with the Wolfram Neural Net Repository

Video Lesson | FREE

Learn to build applications using the neural network models available in the Wolfram Neural Net Repository. This class showcases existing models in the repository and the different tasks for which they are intended, such as classification, feature extraction, image processing, regression, language modeling and more, with new models and new application areas being added all the time. Use cases showing applications built by students from Wolfram summer programs are shared. Learn to leverage available models to create your own applications.

Building Blocks for Deep Learning

Video Course | FREE

This video course explores how to construct neural networks in the Wolfram Language. The Wolfram Language neural network framework provides symbolic building blocks to build, train and tune a network, as well as automatically process input and output using encoders and decoders. You'll learn how to build feed-forward networks and about recurrent neural nets and why they are interesting.

Built-in Machine Learning in Wolfram Language

Video Lesson | FREE

You can apply machine learning to diverse subject areas without expert-level knowledge with the help of Wolfram Language. Even though you can build complicated models from scratch, you can also use any of the existing, pre-trained models on different inputs like text, numbers and images. This video introduces the many machine learning functions available for such wide-ranging tasks as image identification, text recognition, sentiment classification and others.