AI for Engineers
Use AI for predictive maintenance, sensor data analysis, quality control, and simulation optimization. Built for mechanical, civil, electrical, and manufacturing engineering students and professionals.
"Predict which machine will fail next week from sensor data, investigate quality defects correlated to night shift, and optimize heat exchanger parameters — all with AI"
6 Modules
Each module builds on the previous one. By the end, you have a complete production system.
- 1
AI in Engineering
AI engineering tools landscape + Indian case studies
- 2
Predictive Maintenance
AI-generated maintenance prediction from sensor degradation
- 3
Sensor Data Analysis
Anomaly patterns with root cause hypotheses
- 4
Quality Control
Quality investigation report identifying root causes
- 5
Simulation & Digital Twins
AI-assisted optimization from simulation data
- 6
Your Engineering AI Toolkit
Reusable prompt library for daily engineering tasks
Production patterns you'll master
Synthetic data included
- Sensor readings (5 machines, 90 days)
- Failure history (20 records)
- Vibration data (3-axis, 30 days)
- Temperature logs (8 zones)
- Production log (60 batches)
- Defect catalog (15 types, BIS refs)
- Simulation results (5 scenarios)
- Parameter sensitivity analysis
- Prompt library (20 templates)
- Equipment specifications (5)
What you walk away with
Shareable portfolio
A public URL showing your module timeline, patterns mastered, and completion status.
All the code
Download everything as a ZIP — pipelines, guardrails, deployment configs. Yours forever.
Module walkthrough
Each module documented with deliverables and the production pattern you implemented.
Ready to build your ai for engineers?
First course free. $20 per course after that.