Discover the Power of Mathematical Optimization

 

As the world continues to gather mountains of data, we need smart, math-minded people to help us make sense of it all. We need people who can go from data to optimized decisions . . . and that requires adding mathematical optimization to your analytics toolbox.

At Gurobi, we’re passionate about the power of mathematical optimization. And we want to make optimization more accessible for more people.

Gurobi Academy helps make that happen. Through our on-demand learning platform, you can learn about mathematical modeling and optimization, as well as anything you would want to know about Gurobi.

Courses include:

  • From Zero To Hero
    Designed for people with little-to-no experience in mathematical optimization and Gurobi. It will put you in a position to identify when to apply mathematical optimization and how to develop simple optimization models for some real-world applications.
  • Gurobi Product Training
    Designed for people who would like to understand what Gurobi is about. At its core, this is our Gurobi Optimizer—however, we have a number of other products and services which make Gurobi a very unique company.

Access to these learning paths is free of charge, and all we ask in return is that you provide us with as much feedback as possible so that we can create the best learning experience. To register for free access, please fill out this form.

Customers

Try Gurobi for Free

Choose the evaluation license that fits you best, and start working with our Expert Team for technical guidance and support.

Evaluation License
Get a free, full-featured license of the Gurobi Optimizer to experience the performance, support, benchmarking and tuning services we provide as part of our product offering.
Academic License
Gurobi supports the teaching and use of optimization within academic institutions. We offer free, full-featured copies of Gurobi for use in class, and for research.
Cloud Trial

Request free trial hours, so you can see how quickly and easily a model can be solved on the cloud.

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