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AI-CAE Engineer Training Program
Build future-ready CAE skills with simulation, automation, AI, and optimization.
A 16-week weekend program to build CAE automation, FEA/CFD workflows, Python data engineering, AI model development, and optimization skills using SALOME + Code_Aster, OpenFOAM, and modern Python tools.
4.8 course rating Limited to 25 seats per batch Certificate included
Duration
16 weeks
Weekends only
Training Hours
68 hours
Online training
Practice Hours
100 hours
Assignments included
Batch Start
08 August 2026
Saturday & Sunday
What you will learn
Complete FEA/CFD workflows with SALOME + Code_Aster or OpenFOAM
Python automation scripts for setup, extraction, reporting, and repeatability
AI model development for CAE prediction, classification, and surrogate modelling
Capstone project with dashboard/reporting output
Certificate of completion and interview preparation support
Mentor-guided real-world case studies and assignments
core program
Course content
7 core modules + 2 optional add-ons
1
CAE Fundamentals
Engineering mechanics, FEA basics, CFD basics, and physics concepts 8 hours
2
Python for CAE
Python basics, NumPy, pandas, matplotlib, automation, and scripting for CAE 10 hours
3
Choose Your CAE Path
Structural analysis using SALOME + Code_Aster 18 hours
CFD analysis using OpenFOAM 18 hours
4
CAE Data Engineering
Data extraction, cleaning, feature engineering, and CAE data stores 8 hours
5
AI & Machine Learning for CAE
Regression, classification, surrogate models, ROM, and validation 12 hours
6
Industry Mini Project
End-to-end FEA/CFD project with AI model development and final presentation 12 hours
7
CAE Automation & Workflow Development
Batch meshing, workflow automation, post-processing, reporting, and dashboard integration 20 hours
8
Advanced Add-on Modules
LLMs & AI Assistants for CAE Optional add-on
AI-driven Optimization Optional add-on