Although there are no formal requirements before enrolling in this course, we recommend the following prerequisites:
- Completion of the Getting Started with Applied Quantum Optimization course, which prepares you to write a clear and comprehensive optimization problem description, including objective(s), constraint(s), decision variables, and parameters.
- Completion of the Problem Formulation for Applied Quantum Optimization course, which supports you in converting your plain-language optimization problem description into mathematical models.
- Intermediate Python programming experience.