Computational Fluid Dynamics Courses

IIT Kanpur;  NPTEL

Computational Fluid Dynamics and Heat Transfer

Learn to formulate and implement finite difference, finite volume, and finite element methods for CFD, including SIMPLE and MAC algorithms for fluid and energy equations.

• Swayam
• 12 weeks
• Available until Oct 9, 2026
• Free Online Course

Steve Brunton

Machine Learning for Computational Fluid Dynamics

Explore how machine learning can accelerate fluid simulations, improve turbulence closures, and build scalable reduced-order models for computational fluid dynamics.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Computational Fluid Dynamics Analysis With Kubernetes, Kubeflow, and OpenFOAM - Erik Jacobs

Learn how Kubeflow’s MPI operator runs OpenFOAM computational fluid dynamics jobs on Kubernetes clusters.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

IIT Kanpur;  NPTEL

Applied Computational Fluid Dynamics

Introduces numerical simulation of fluid flows through PDE classification, discretization, stability, shock capturing, boundary conditions, and turbulence modeling.

• Swayam
• 12 weeks
• Available until Oct 9, 2026
• Free Online Course

CppCon

Vectorizing Computational Fluid Dynamics Code in C++ Using std::simd

Discover how to optimize Computational Fluid Dynamics code through vectorization using std::simd, featuring practical implementations and a complementary library for transparent loading and storing operations.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Computational Fluid Dynamics using the Finite Element Method

Learn stabilized finite element formulations for solving incompressible and compressible fluid-flow equations when the traditional Galerkin method is inadequate.

• Swayam
• Available until Oct 9, 2026
• Free Online Course

Mathematical and Computational Methods

46 ratings

Physicists use math all of the time in nearly everything that they work on. This course will help you understand how math is interconnected and recognize that math involves a handful of simple ideas t

• edX
• 18 weeks, 7-10 hours a week
• Self-Paced
• Free Certificate

• Best of All Time

Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion

36 ratings

Study kinematics and kinetics of particles and rigid bodies in 2D: Newton's and Euler's laws, work-energy principle, impulse-momentum, and relative velocity and acceleration equations.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Introduction to Computational Thinking and Data Science

30 ratings

6.00.2x is an introduction to using computation to understand real-world phenomena.

• edX
• 9 weeks, 14-16 hours a week
• Self-Paced
• Free Online Course (Audit)

• Best of All Time

Computational Social Science Capstone Project

34 ratings

Scrape YouTube videos, visualize the resulting networks in Gephi, analyze comment sentiment and emotion with IBM Watson NLP, and grow an artificial society through agent-based simulation.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion

30 ratings

Analyze rigid bodies in 3D motion: derive angular velocity and acceleration, work in moving reference frames, apply Eulerian angles, inertia tensors, and Euler equations.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

PetroNile Academy

Drilling Fluid System - Components, Functions and Solid Control Equipment

28 ratings

Explore the essential components, functions, and solid control equipment of drilling fluid systems in oil and gas operations, focusing on practical industry applications.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

NPTEL;  IIT Bombay

Computational Chemistry and Classical Molecular Dynamics

27 ratings

This course introduces learners to elementary programming and numerical methods that are useful to solve problems in chemistry. These methods are useful for understanding molecular structures as well as condensed media such as liquids and solutions

• YouTube
• 20 hours
• Self-Paced
• Free Video

Engineering Dynamics

10 ratings

This course is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems.

• MIT OpenCourseWare
• 40 hours
• Self-Paced
• Free Video

Principles, Statistical and Computational Tools for Reproducible Data Science

12 ratings at edX

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.

• edX
• 8 weeks, 3-8 hours a week
• Self-Paced
• Free Online Course (Audit)