Intermediate 4 weeks
25 hours
AI for CFD Acceleration
ML Surrogate Models for 100x Faster Simulations
Build neural network surrogate models to accelerate CFD simulations. Learn to train ML models on simulation data and deploy them for real-time predictions.
AI CFD Machine Learning Surrogate Models
₹9,999
Bundle 2+ for 20% off, 3+ for 33% off
3 Projects
Certificate
Live Q&A
Lifetime Access
About this Bootcamp
Traditional CFD simulations take hours or days. AI surrogate models deliver results in milliseconds.
This bootcamp teaches you to:
- Generate training datasets from CFD simulations
- Build neural networks for flow field prediction
- Train physics-informed neural networks (PINNs)
- Deploy models for real-time design exploration
- Integrate ML predictions into engineering workflows
By the end, you'll have built a working surrogate model that predicts aerodynamic forces 1000x faster than traditional CFD.
What's Included
25h
Content
3
Projects
4
Modules
4
Weeks
Syllabus
1 ML Foundations for Engineers
6 hours
ML Foundations for Engineers
6 hours
Neural networks, PyTorch, and data pipelines for simulation data
- Why AI for CFD? 30m
- Neural Network Basics 45m
- PyTorch for Engineers 60m
- Simulation Data Pipelines 40m
2 CFD Dataset Generation
5 hours
CFD Dataset Generation
5 hours
Create training data from parametric CFD studies
- Design of Experiments 35m
- Automated CFD Scripting 60m
- Data Preprocessing 40m
- Project: Generate Airfoil Dataset 90m
3 Surrogate Model Architecture
7 hours
Surrogate Model Architecture
7 hours
Build neural networks for flow prediction
- Encoder-Decoder Networks 50m
- Graph Neural Networks for Meshes 55m
- Physics-Informed Neural Networks 60m
- Project: Train Flow Predictor 120m
4 Deployment & Integration
7 hours
Deployment & Integration
7 hours
Deploy models for real-time engineering use
- Model Optimization & ONNX 40m
- Building Prediction APIs 50m
- Uncertainty Quantification 45m
- Final Project: Real-time Design Tool 150m
What Students Say
"Reduced my design iteration time from days to minutes. Game changer for optimization studies."
Karthik Rajan
CFD Engineer at a Leading Industrial Automation Company
What's Included
- 25 hours of content
- 3 hands-on projects
- Certificate of completion
- Live Q&A sessions
- Lifetime recording access
- Downloadable resources
- 3 months mentor support
Upcoming Batches
20 Apr Enrolling
22 seats left
20 May Upcoming
40 seats left
