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CFD with OpenFOAM & Python: From Simulation to AI
Role Play
Rating: 3.2 out of 5(9 ratings)
325 students

CFD with OpenFOAM & Python: From Simulation to AI

Master CFD Workflows: Simulate, Analyze, and Apply AI with OpenFOAM & Python
Created bySmart Engineering Experts LLC
Last updated 6/2026
English
English [Auto],

What you'll learn

  • Set up and run CFD simulations in OpenFOAM for fundamental and applied engineering problems.
  • Automate workflows with Python to speed up case setup, batch simulations, and result processing.
  • Extract, analyze, and visualize CFD results using Python libraries (NumPy, Matplotlib, PyVista).
  • Apply AI and Machine Learning to CFD data for tasks like prediction, optimization, and pattern recognition.
  • Connect simulations to real-world engineering insights, improving decision-making in design and analysis.
  • Build confidence in combining OpenFOAM, Python, and AI into a modern, industry-ready CFD workflow.

Course content

5 sections • 5 lectures • 1h 55m total length

  • Introduction10:51

    Explore CFD with OpenFOAM and Python to automate simulations, extract results, and train AI surrogate models that connect physics-based Navier–Stokes and energy equations to fast data-driven predictions.

Requirements

  • Basic familiarity with fluid mechanics concepts (helpful but not mandatory).
  • Very basic command-line usage (Linux/Ubuntu terminal) will be useful.
  • No prior knowledge of OpenFOAM is required – we will cover everything step by step.
  • No prior Python or AI experience needed – beginners will be guided through practical examples.

Description

Unlock the power of CFD with OpenFOAM and Python in this hands-on course designed to take you from simulation basics to AI-driven analysis. Whether you are a student, engineer, or enthusiast, this course will guide you step by step through the complete CFD workflow, enabling you to confidently set up simulations, analyze results, and even integrate AI for smarter predictions.

What you’ll learn in this course:

  • Fundamentals of CFD and fluid mechanics concepts applied in simulations.

  • How to set up and run simulations in OpenFOAM, including meshing and solver selection.

  • Post-processing and visualization of simulation results using Python.

  • Automating CFD workflows with Python for efficiency and scalability.

  • Integrating AI/ML models with CFD data for predictive insights and advanced analysis.

  • Best practices in CFD case setup, result validation, and troubleshooting common issues.

  • How to bridge the gap between traditional CFD simulations and modern AI-powered approaches.


This course is beginner-friendly and requires only basic knowledge of fluid mechanics and general computer skills. By the end of the course, you will have the skills to perform real-world CFD simulations, visualize and interpret results effectively, and harness Python and AI to enhance your engineering analyses. It’s perfect for anyone looking to advance their career in engineering, research, or technology-driven industries.

Who this course is for:

  • This course is designed for beginners, students, and professionals who want to learn the fundamentals of CFD (Computational Fluid Dynamics) and OpenFOAM.

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