Optimization Modeling in Python | Certification Free Udemy Course

Free Certification Course Title: Optimization Modeling in Python

I will walk you through every step of Python coding with real-life case studies, actual experiments, and tons of examples from around different disciplines.


  • No extensive prior knowledge of Python is required
  • A desire to learn new concepts like Python coding
  • A passion for decision making and optimisation
  • A laptop or PC to run your code.
  • No need for any licence to run your codes

What you’ll learn:

  • How to start coding in Python?
  • How to mathematically formulate your optimization problems in Python?
  • Build a complete understanding of Pyomo models from the ground up!
  • Is it suitable for mechanical engineering ? Yes, for example : design problems
  • Is it suitable for Chemical engineering ? Yes, for example : optimal design of chemical systems, optimal operation of chemical units, pooling-blending, optimal control of a process and etc.
  • Is it suitable for Electrical engineering ? Yes, for example : optimal operation and planning of power plants, optimal power flow and etc.
  • Is it suitable for Civil engineering ? Yes for example in traffic management, bridge design , reinforcement planning and etc.
  • Who this course is for:

    • Anyone who needs to make some sort of decisions
    • Any discipline that requires optimization and decision making
    • Academics or industry experts in operation research and optimization
    • Entrepreneurs
    • Business Owners involved in Energy/Healthcare/Service providers/ and other industries

    This course includes:

    • 4 hours on-demand video
    • 1 article
    • 36 downloadable resources
    • Full lifetime access
    • Access on mobile and TV
    • Certificate of completion
    • How to get Optimization Modeling in Python?
      1. Sign Up on Udemy.com
      2. Get free course Here(Optimization Modeling in Python): Click Here

      Apply Coupon Code: PYOMO1ST

      **Note: Free coupon/offer may expire soon.**

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