Linear Programming Course
This course teaches practical linear programming for production planning, covering modeling, solving with tools like Excel and Python, analysis, and communication of results.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Linear Programming Course provides a focused, practical route to model and solve real production planning issues. Learn to define decision variables, objectives, and constraints, choose realistic parameters, and convert business descriptions into standard LP form. You will practise solving models with spreadsheets, online tools, and Python, then document results, interpret sensitivity, and clearly communicate recommendations to stakeholders.
Elevify advantages
Develop skills
- Formulate LP production models: turn business data into precise constraints.
- Solve LPs with Excel, LibreOffice, and Python PuLP for fast, reliable answers.
- Interpret solver output: optimal plan, profit, binding constraints, and slack.
- Perform quick sensitivity and what-if analysis to guide resource decisions.
- Communicate LP results clearly to managers with concise tables and insights.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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