All Classes and Courses

Introduction to Fractional Calculus

Video Course | FREE

Learn about computing fractional derivatives and using the popular Laplace transform technique to solve systems of linear fractional differential equations using Wolfram Language. The first video describes the basics of fractional calculus, defines some of the common differintegrals and introduces the built-in FractionalD and CaputoD functions. The second video focuses on using LaplaceTransform and InverseLaplaceTransform to convert from time domain to frequency domain and back again. It also demonstrates how you can combine the Laplace transform with MittagLefflerE functions and CaputoD derivatives. The final video provides more background on fractional calculus and its uses and showcases demonstrative examples of both single fractional differential equations and systems of linear fractional differential equations.

Introduction to Image Processing

Interactive Course | FREE

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

Certification Levels: CompletionLevel 1

Make cutting-edge image processing simple with the Wolfram Language. Learn the fundamentals of digital image processing, including image representation and classical operations on images. This course emphasizes practical applications and understandable explanations of how image operations work. Numerous examples are included to illustrate standard applications.

Introduction to Linear Algebra

Interactive Course | FREE

Requirements: This course requires no prior knowledge of Mathematica or the Wolfram Language. Prerequisites for linear algebra include algebra, elementary geometry and trigonometry.

Certification Levels: CompletionLevel 1

A comprehensive introduction to fundamental concepts in linear algebra, including video lessons and interactive notebooks. Follow along with the examples in the Wolfram Cloud and use the material to prepare for courses in data science, engineering and other fields. The course starts with linear equations and matrices, followed by determinants and eigenvalues, and then moves on to inner products and the singular value decomposition. Application sessions are included to show uses of linear algebra in the real world. Exercises and quizzes are provided for self-paced assessment.

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 the 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. We will start with regression, classification, clustering and anomaly detection, and from there, we'll move on to the state-of-the-art Neural Net Framework. Examples using the Wolfram Neural Net Repository are shown with instructions for building your own neural networks from scratch. Basic familiarity with Wolfram Language or introductory-level skill in any programming language is recommended.

Introduction to Mathematica for Students and Teachers

Video Course | FREE

Certification Levels: Level 1

This video course provides an introduction to Mathematica for students, teachers and beginners of all kinds. It quickly covers a wide range of topics from algebra to calculus using examples, all delivered from the viewpoint of a highly skilled and experienced classroom teacher. It starts with the concept of a computational notebook and builds step by step to more advanced topics such as plotting, graphics and solving equations. The course includes techniques for entering mathematical notation using your keyboard and palette buttons and finding help using the Wolfram Documentation Center. The course is recorded by Ruth Dover, a math instructor and Wolfram Innovator who has taught thousands of students how to use Mathematica and Wolfram Language over the course of her career.

Introduction to Notebooks

Interactive Course | FREE

Requirements: This course requires no prior knowledge of Mathematica or the Wolfram Language.

Certification Levels: Completion

Wolfram Notebooks have been widely adopted as the modern environment for technical workflows. In this course, you will be introduced to these powerful and interactive documents for computation, programming, generating reports and creating presentations. Learn how to style notebooks and create interactive interfaces using built-in Wolfram Language functionality. Generate immediate results with the natural language queries and reach your audience on multiple platforms with universal deployment options.

Introduction to Probability

Interactive Course | FREE

Requirements: This course requires basic working knowledge of Mathematica or Wolfram Language. Prerequisites for probability include Algebra I (elementary algebra) and Algebra II (intermediate algebra).

Certification Levels: CompletionLevel 1

Probability is the branch of mathematics that deals with random phenomena. Using real-world examples, this comprehensive introduction to probability and statistics can help prepare you for coursework and research in natural science, engineering, finance, medicine, data science and other fields. The course starts with a discussion of basic probability concepts, followed by the study of random variables as well as common probability distributions and their applications. These topics are typically found in basic probability courses and serve as great preparation for statistics, data science and the professional examination Exam P from the Society of Actuaries.

Introduction to Statistics

Interactive Course | FREE

Requirements: This course requires basic working knowledge of Mathematica or Wolfram Language. Prerequisites for statistics include Algebra I (elementary algebra) and Algebra II (intermediate algebra).

Certification Levels: CompletionLevel 1

Statistics is the branch of mathematics concerned with collecting, describing, analyzing and interpreting data and trends in science, industry and society. This course introduces techniques for data visualization and descriptive statistics, methods for calculating confidence intervals and tools for hypothesis testing. Practical examples are used to demonstrate the application of statistical methods. The topics in this course are typically found in entry-level college statistics courses and serve as great preparation for the AP Statistics exam.

Introduction to System Modeling with Wolfram Language

Video Course | FREE

This four-part video course shows how to locate, import and build models for simulating and analyzing all kinds of systems with Wolfram Language. Basic familiarity with the Wolfram Language is recommended.

Introduction to the Wolfram Quantum Computation Framework
(Study Group Sessions)

Archived Event | FREE

Follow these Daily Study Group sessions for an introduction to the Wolfram Quantum Computation Framework and how to use it in quantum computing. The foundation of the framework is a high-level symbolic expression representation of gates, unitaries, measurements, CPTP channels and so on. The framework is intuitive and flexible enough to model higher-order processes, such as quantum switches, using the several named states and operators built into the framework. Topics include basic concepts of quantum computation, including quantum states, transformations, algorithms, operators, gates, circuits and how to use Wolfram Language to run them on quantum hardware. You will learn how to simulate a quantum computer that operates based on the laws of quantum mechanics with Wolfram Language.

Learn to Use a Notebook in the Wolfram Cloud

Video Lesson | FREE

Watch this short video to learn how you can use Wolfram Notebooks in the cloud within your web browser.

Learn to Use a Notebook on Your Desktop

Video Lesson | FREE

Watch this short video to learn how you can use Wolfram Notebooks on your desktop.

Learning about LLMs Webinar Series

Archived Event | FREE

Learn about large language models (LLMs) like ChatGPT and understand how they work with the help of a symbolic neural net framework. We take a look at interesting applications and show how the computational power of Wolfram Language makes it a unique and valuable tool for working with LLMs. The series begins with a quick start to Wolfram Language tools for LLMs and ends with a panel discussion with Wolfram experts.

Learning to Tackle Real-World Computer Vision Applications

Video Lesson | FREE

How can you apply the deep learning framework integrated in the Wolfram Language for solving real-world image processing applications? This class explores some of the depth of the Wolfram Language's neural net framework capabilities and shows how the trained networks can be tweaked to suit a wide range of complex image analysis tasks. With the help of examples, you will gain practical insights into effectively leveraging neural nets for your own applications.

Multiparadigm Data Science

Interactive Course | FREE

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

Certification Levels: CompletionLevel 1Level 2

Multiparadigm Data Science is a rapidly advancing new approach of using modern analytical techniques, automated machine learning and human-data interfaces to arrive at better answers. This course introduces the basic concepts of the multiparadigm approach, demonstrating both the flexible, integrated project workflow and the broad computational toolkit that supports it from start to finish. Discover best practices, exploration techniques and ways to leverage the high-level Wolfram Language to get real, quantifiable answers to the full range of data science problems.

New in Wolfram Language 13.2

Archived Event | FREE

Learn about new functionality for astro computation, as well as substantially enhanced functions for machine learning, trees, mathematical computations, video and more. This webinar shows how the updates relate to the areas of programming, images and visualization, data science, mathematics, system modeling and astronomy.

New in Wolfram Language 13.3 Webinar Series

Archived Event | FREE

There's a lot that's new in Version 13.3 of Wolfram Language and Mathematica, including a built-in subsystem around LLMs. Since the launch 35 years ago of Version 1.0, the long-term objective at Wolfram has always been to build a full-scale computational language that can represent everything computationally, in a way that’s effective for both computers and humans. This three-part webinar series features Chat Notebooks, LLMFunctions, math milestones, AR-VR publishing, interactive visualizations and system models for real-world data. Our experts show you ways in which our language has become a unique bridge between humans, AIs and computation.

New LLM Functionality in Wolfram Language

Archived Event | FREE

Learn from Wolfram Notebook and repository experts about LLM technology built into Wolfram Language 13.3. In this archived webinar series, you'll see the new integrated LLM functions, Chat Notebooks and easily available prewritten prompts stored in the new Wolfram Prompt Repository.

Optimization of Portfolios and Investments

Video Lesson | FREE

There are many ways to optimize portfolios. In this video lesson, you will use built-in Wolfram Language functions to create optimal asset mixes for portfolios with certain sets of risk tolerance. The optimization functions used in the demonstrated analysis include quadratic optimization, conic optimization, linear optimization, linear fractional optimization and second-order cone optimization. The lesson also discusses performance metrics, such as asset correlation and forecasted returns, to evaluate a portfolio.

Practical Programming with Wolfram Language

Instructor Led | SEE COURSE SCHEDULE

Requirements: This course requires basic working knowledge of Wolfram Language or introductory-level skill in any programming language.

Certification Levels: Completion

This course provides the knowledge, tools and guidance to efficiently create and maintain Wolfram Language projects. This course is designed for Wolfram Language users who are ready to move beyond the fundamentals and create their own programs and interfaces.

Quick Start to Wolfram Tech

Instructor Led | SEE COURSE SCHEDULE

Requirements: This course requires no prior knowledge of Mathematica or Wolfram Language.

Certification Levels: Completion

This course introduces core technologies for getting started quickly with the Wolfram technology stack. Learn to work with Wolfram Notebooks in the cloud as well as on your desktop and familiarize yourself with the syntax and programming fundamentals of the Wolfram Language. Limited registration and small class sizes allow for interaction with your Wolfram certified instructor. No prior experience with the Wolfram Language is required. Certificate of course completion available.

Signals, Systems and Signal Processing

Interactive Course | FREE

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

Certification Levels: Completion

This course gives an introduction to the concepts, mathematics, principles and techniques of signal processing in linear, time-invariant (LTI) systems. The course covers methods of analysis for both continuous-time and discrete-time signals and systems, presents sampling and gives an elementary introduction to filter design. Many everyday signal processing examples are included. The concepts and methods of signals and systems presented here play an important role in many areas of science and engineering, and therefore the course should be of interest to a broad range of students.

The Wolfram Plugin for ChatGPT (Study Group Sessions)

Archived Event | FREE

The Wolfram plugin gives ChatGPT computational superpowers by allowing it to call on Wolfram|Alpha—and Wolfram Language as well—for powerful computation, curated knowledge, real-time data, visualization and even writing code. Join this Daily Study Group and learn how you can inject computation into your ChatGPT conversations, solve math problems reliably, access accurate data and develop human+AI workflows.

Using Notebooks Effectively

Video Lesson | FREE

This class introduces Wolfram Notebooks, structured documents that can include text, runnable code, dynamic graphics, user interfaces and more. The hierarchical structure of notebooks is explained, with discussion of cells, cell brackets, styling options, keyboard shortcuts and the Wolfram Predictive Interface that enables a streamlined workflow. Attributes of notebooks that aid in programming are presented, such as the ability to track the history of computation, support for rich data embedding and Iconize functionality. This class is suitable for beginners who are new to Mathematica and includes tips for notebook power users.