Gurobi Launches Expert-Led Training to Help Users Get the Most from Mathematical Optimization
Gurobi Optimization, LLC, creator of the world’s fastest mathematical optimization solver, announced the launch of Gurobi Compass, its new expert-led training program designed to make the power of optimization more accessible to all.
Because Gurobi’s user base now extends far beyond Operations Research professionals, Gurobi Compass aims to help every role have a successful and seamless user experience—across product owners, project managers, software developers, and IT professionals. The program utilizes hands-on workshops, live instruction, and on-demand videos to teach students in the format that best suits their needs.
Dr. Kostja Siefen, head of Gurobi’s Technical Account Management team, explains, “Every product and every project team is unique. That's why training can never be a one-size-fits-all program.”
And indeed, Gurobi Compass offers highly customized training packages, which are compiled after a complimentary listen-and-learn session where clients can express their specific needs and challenges.
The following are just a few examples of topics Gurobi Compass covers to help all members of a team successfully navigate Gurobi’s products:
Integration and deployment: The program’s trainers can teach users about the wide variety of options available for integrating Gurobi software components into their optimization solutions. Users will explore APIs, client/server separation, and flexible cloud and container deployments.
Modeling techniques: Gurobi Compass can help users translate business problems and dilemmas into proper mathematical representations, which Gurobi can then quickly and easily solve. This training draws on a range of techniques to help modelers develop high-performance model generators that are less error-prone and use fewer lines of code.
Performance tuning: For those who already have a working knowledge of mathematical modeling, Gurobi Compass’s performance tuning module can help users discover new approaches to improving model performance, so they can get the most out of Gurobi’s technology in the least amount of time.
Each of these training modules is customizable, but Gurobi can also go a step further by creating bespoke models on the specific topics that matter most to a team.
Members of Gambit Research tested out the program and said of the experience, “Our Gurobi Compass course was the perfect mix of optimization theory and hands-on exercises. Attendees are now more able to think about our day-to-day work through the lens of optimization. The Gurobi trainers were knowledgeable, helpful, and friendly. We had a lot of fun!”
Each Gurobi Compass training module is designed for up to 150 participants, takes two to three hours to complete, and includes take-home exercises that allow users to immediately practice and apply what they’ve learned.
Gurobi can even combine self-paced training on their learning platform with on-site, hands-on lessons for the most complete learning experience possible.
To learn more about how Gurobi Compass can help your team get acquainted with the world’s most powerful solver, visit www.gurobi.com/products/gurobi-compass/.
About Gurobi Optimization
With Gurobi’s decision intelligence technology, you can make optimal business decisions in seconds. From workforce scheduling, portfolio management, and marketing optimization, to supply chain design, and everything in between, Gurobi identifies your optimal solution, out of trillions of possibilities.
As the leader in decision intelligence, Gurobi delivers easy-to-integrate, full-featured software and best-in-class support, with an industry-leading 97% customer satisfaction rating.
Founded in 2008, Gurobi has operations across the Americas, Europe, and Asia. Over 2,500 global customers across 40+ industries run on Gurobi, including SAP, Air France, and the National Football League, as well as half of the Fortune 10 and 70% of top global tech companies. For more information, please visit https://www.gurobi.com/ or call +1 713 871 9341.
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