CFD AI/ML Turbulence Courses + Interview Resources

Bundle package:

1. CFD Fundamental Theory Notes (20 PDF Modules)
2. CFD Learning Courses & Roadmap Comprehensive PDF
3. AI/ML-CFD Courses & Resources Comprehensive PDF
4. Turbulence Modeling Theory Notes (12 PDF Modules)
5. CFD Interview Preparation Guide PDF

1. CFD Fundamental Theory Notes!

Lectures Notes PDFs on the following topics:

1. Introduction to CFD
2. Basic concepts of Fluid Mechanics
3. Overall CFD Workflow
4. Governing Equations in Fluid Dynamics & CFD
5. PDEs & Discretization
6. Finite Difference Method & Finite Volume Method
7. FDM & FVM Python code: Diffusion & Convection-Diffusion
8. SIMPLE Algorithm
9. Understanding Accuracy in CFD
10. Understanding Mesh Generation & Mesh Quality in CFD
11. Turbulent Flows: Theory & its Characteristics
12. Turbulence Modeling
13. Eddy Viscosity Models
14. K-Epsilon Model: Standard, RNG & Realizable
15. K-Omega Model: Wilcox, BSL & SST

2. CFD Learning Courses & Roadmap Comprehensive PDF

A digital PDF document with a systematic guide to learning CFD from scratch to advanced level.

A comprehensive step-by-step best online free/paid courses list along with their links, YouTube channels to follow, and websites to follow related to CFD, aerodynamics and thermal science.

In the digital PDF document, you will find a comprehensive list of courses related to subjects:

1. Advanced Fluid Mechanics
2. CFD Theory & CFD Coding
3. Multiphase flow
4. Compressible flow
5. Turbulence Modelling
6. Aerodynamics
7. Fluid Structural Interaction
8. High-performance computation

List of courses to learn ANSYS, Star CCM+, and OpenFOAM.

CFD Books recommendations as well!

3. AI/ML-CFD Courses & Resources Comprehensive PDF

A digital PDF document with a systematic guide to learning AI & Machine Learning for CFD.

A comprehensive, step-by-step list of the best free and paid online courses along with direct links, YouTube lecture series, websites, and research papers focused on applying AI/ML in CFD.

Inside this Digital Guide, You'll Find:

1. Fundamental AI/ML Python Learning Courses
2. Machine Learning & Deep Learning Foundations Courses
3. Mathematics for AI/ML Courses
4. CFD & Fluid Mechanics–Focused AI/ML Resources: PINNs CFD Public codes
5. YouTube Lecture Series related to AI/ML in Fluid Mechanics & CFD
6. Additional Platforms related to AI ML

Research Papers to Follow (Handpicked): Related to AI/ML used for Fluid Mechanics, CFD, Meshing & Turbulence Modeling

Advanced AI/ML Courses Link:

1. Prompt Engineering
2. Generative AI
3. Generative Adversarial Networks
4. Natural Language Processing

4. Turbulence Modeling for CFD Theory Notes

Structured, concise, well-organized, and easy-to-follow set of Turbulence Modeling notes.

12 Modules Lecture Notes PDFs on the following topics:

1. Introduction to Turbulent Flows
2. Turbulent Flow Governing Equation
3. Turbulent Flow Boundary Layer Theory
4. Algebraic Turbulence Model
5. RANS 1-Equation & 2-Equation Turbulence Models
6. K-Epsilon Model: Standard, RNG & Realizable
7. K-Omega Model: Wilcox, BSL & SST
8. Near Wall Treatment: Wall Functions
9. Near Wall Treatment: Low Re Modeling
10. RANS Boundary Conditions
11. Reynolds Stress Model (7 Equation based RSM)
12. Eddy Resolved Models
13. Direct Numerical Simulation
14. Large Eddy Simulation
15. Hybrid Turbulence Models

This material is designed for those who prefer a ready-to-use structured Turbulence Modeling learning notes.

5. CFD Interview Preparation Guide

130+ Technical CFD interview questions & answers on following topics:

1. Fluid Dynamics & CFD Governing Equations
2. Boundary Layers & Dimensionless Numbers
3. Meshing & Spatial Discretization
4. Boundary Conditions
5. Numerics, Solvers, & Convergence
6. Turbulence Modeling
7. Aerodynamics & Thermal Science
8. CFD Troubleshooting
9. Real-World CFD Scenarios

Questions & Answers are framed exactly how questions are asked & you should answer in an CFD Interview.