Overview
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Course Date:
27 Nov 2025 to 12 Dec 2025
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Registration Period:
24 Sep 2025 to 13 Nov 2025
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Duration/Frequency:
27 Nov Asynchronous) 11-12 Dec 2025 (Classroom) | 9am-6pm
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Mode of Training:
Classroom
Course Objective
This course is conducted in collaboration with Gurobi Optimization and aims to introduce practitioners to essentials of mathematical optimisation problems and the use of Generative AI (GenAI) tools to support the modelling and decision-making processes in such problems.
Participants will learn to formulate real-world optimisation problems as mathematical models, solve these models using GurobiPy (a Python-based optimization solver from Gurobi), and use the results to guide strategic decision-making. The course also explores the use of GenAI in generating, verifying, and refining both models and code. By integrating essential theory with practical code-appreciation exercises, the course equips participants with the skills to apply optimisation techniques effectively within their organisational context.
Participants who successfully complete this course will receive a Certificate of Completion, jointly awarded by Singapore Polytechnic and Gurobi Optimization. They will also enjoy 3-month free access to Gurobi license.
More Information
For more information, please click on the "Register" button.
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