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CFD with OpenFOAM and Python: Bridging Simulation and AI

Course Highlights

Price: 50 $

Course Overview

Unlock the power of Computational Fluid Dynamics (CFD) with OpenFOAM, Python, and AI in this practical hands-on course designed for students, engineers, researchers, and CFD enthusiasts.

This course takes you step by step through the complete CFD workflow — from understanding simulation fundamentals to setting up cases in OpenFOAM, post-processing results using Python, and integrating AI-driven analysis techniques.

You will learn how to perform CFD simulations, automate workflows with Python, visualize results effectively, and apply AI/ML concepts for predictive engineering analysis. The course also covers best practices for meshing, solver setup, result validation, and troubleshooting real-world CFD problems.

By the end of the course, you will have the confidence to build, analyze, and automate CFD simulations while understanding how modern AI techniques can enhance traditional CFD workflows.

Course Contents

Module 1: Introduction To The Course

Lecture 1: Introduction: From Simulation to Smart Engineering Insights

Lecture 2: Basics of CFD with OpenFOAM

Lecture 3: Python for CFD Automation

Lecture 4: DataSet Generation from CFD

Lecture 5: AI/ML for CFD Surrogates

Lecture 6: Predicting The New Results Using AI

Lecture 7: Wrapping up the course