All Classes and Courses

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.

Data Visualization with Wolfram Language

Instructor Led | SEE COURSE SCHEDULE

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

Certification Levels: Completion

With the use of a curated dataset from the Wolfram Data Repository, this course shows how to quickly visualize different data structures and how to make your graphics ready to publish and share. Domain-specific functions as well as general techniques are shared for getting the most out of your graphics. The course is intended for anyone who wants to learn more about data visualization using Wolfram Language.

Fast, Fun and Functional Cloud Apps

Video Lesson | FREE

This video lesson shows examples of three fun and simple yet functional apps, created in minutes and deployed to the cloud for use by others. If you have an idea for a computational app that you would like to either prototype or publish, watch this video and follow a Wolfram developer as they demonstrate the steps for building the program, automating it and finally deploying it to the cloud.

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.

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.

Becoming a Data Curator

Video Course | FREE

Join a Wolfram|Alpha data scientist for this recorded, three-part livecoding series as they guide you in taking data from the web, importing and cleaning it, preparing it for computation in the Wolfram Language and uploading it to the Wolfram Data Repository.

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 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.

COVID-19 Data Analysis and Visualization

Video Course | FREE

This course introduces a computational approach to the data analysis, visualization and modeling of the COVID-19 pandemic. You will learn how to access a collection of curated COVID-19 data from the Wolfram Data Repository and explore resources such as livestreams and computational essays. See how analysis and visualization combined with built-in socioeconomic data in the Wolfram Language make in-depth explorations possible. Additionally, this course covers several compartmental epidemiological models and applies them to real-life pandemic data to analyze the spread of this contagious disease.

Creating a Data Resource

Video Lesson | FREE

Start with scraped data from a webpage and finish with a published entry in the Wolfram Data Repository. Follow this step-by-step tutorial to prepare raw data for publishing, sharing and further computation in the Wolfram Cloud.

Deploying and Running a Custom Neural Net on Your Phone

Video Lesson | FREE

Learn about creating and training a neural net image classifier application for the iPhone to identify different types of mushrooms. Follow along step by step with this tutorial using built-in Wolfram Language functions as well as external code and applications to create a fully functional app that can be immediately deployed to a phone and used right away.

Integrating the Wolfram Data Framework

Video Lesson | FREE

Learn how to improve and extend your external data sources with the built-in data framework in the Wolfram Language. An overview of the framework's decade-long development history is provided, from the original Wolfram Language data functions to the launch of Wolfram|Alpha and the availability of the Wolfram Data Repository. Explore the extensive set of built-in entities, create lists from imported raw data, build datasets, visualize data and learn how to integrate the computational power of the Wolfram Language into your projects.

Introduction to Neural Networks

Video Lesson | FREE

Learn about the properties of neural networks, their component layers, how to combine operations in a chain or graph container and how to train a network using the built-in functions of the Wolfram Language. See the use of encoders and decoders for automatically processing input and output to a network. Follow along step by step as we build a digit classifier from scratch, train a neural network and evaluate its performance.

Neural Network Applications: Audio Processing

Video Course | FREE

This course introduces neural network applications for audio processing. Learn about specific features of audio data and the need for a dedicated encoder. See examples of convolutional and recurrent neural networks. Get a glimpse of the fundamental building blocks of a neural network and their significance. You'll learn how to access neural network models from the Wolfram Neural Net Repository, build an audio classifier from scratch and understand the concept of "network surgery" for adapting a pre-defined network to use for audio analysis as well as for extracting data from a network for analysis and gaining insights. Finally, the technique of transfer learning is demonstrated for approaching complex problems.

New in Wolfram 14.1 Webinar Series

Archived Event | FREE

Version 14.1 of Wolfram Language and Mathematica is here with the latest from our R&D pipeline. This series of five webinars showcases new tools for working with neural nets and LLMs, finding differences in content, working with images and videos and exploring scientific evaluations through biomolecules, astrophysics and more.

Wolfram Notebooks for Chemistry Research

Video Lesson | FREE

Learn about computational tools for analytical, biochemical, physical, organic and inorganic chemistry. This talk explains how to access curated chemical data, create molecule objects and visualize and compute with molecular structures.

Zero to AI in 60 Minutes

Video Course | FREE

Follow this video series to get started with machine learning in Wolfram Language. Examples demonstrate machine learning concepts and the automated machine learning capabilities in Wolfram Language.