AI for Automotive & EV (India)
Deep specialization in AI for vehicle design & simulation, autonomous driving & ADAS, EV battery & powertrain, manufacturing quality, supply chain & logistics, and connected vehicles & fleet management. Built for automotive and EV engineers.
"Build CFD surrogate models for Bharat NCAP, predict battery SoH degradation, detect manufacturing defects with AI vision, and score fleet drivers for usage-based insurance"
6 Modules
Each module builds on the previous one. By the end, you have a complete production system.
- 1
Vehicle Design & Simulation
AI-assisted design recommendation with CFD surrogate analysis and crash optimization for Bharat NCAP compliance
- 2
Autonomous Driving & ADAS
ADAS safety audit with sensor fusion and path planning for Indian traffic, against ISO 26262 ASIL requirements
- 3
EV Battery & Powertrain
Battery health dashboard with SoH prediction and thermal-runaway risk scoring, for AIS-038/048 compliance
- 4
Manufacturing & Quality
Production health brief with predictive maintenance, AI-vision defect detection, and IATF 16949 quality calibration
- 5
Supply Chain & Logistics
Supply chain resilience plan with EV demand forecast under FAME II and Tier-1 supplier risk scoring
- 6
Connected Vehicles & Fleet
Fleet intelligence dashboard with OTA rollout strategy for safety-critical ECUs and UBI driver scoring
Skills you'll practise
Practice data included
- Vehicle CFD results (10)
- Topology optimization (6 cases)
- Crash simulation (15 runs)
- ADAS perception logs (5 sessions)
- Sensor fusion data (20 frames)
- Path planning scenarios (6)
- Battery cycle data (6 cells)
- BMS telemetry (20 records)
- Thermal incidents (5)
- Paint defect data (20)
- Press vibration (20)
- Assembly quality (15)
- Semiconductor lead times (15)
- Demand forecast (36 months)
- Supplier risk scores (12)
- Fleet telematics (15)
- OTA update rollout (8)
- UBI driving data (20)
How this certificate is scored
Your certificate shows how many of your written answers met the rubric below, checked by an AI grader. Anyone who checks your certificate sees it.
- You answer 6 short questions, one for each module, in your own words (at least 40 words each).
- An AI grader checks each answer against what its module asks for: it must answer the question, use the course's practice case specifically, and be correct.
- To pass, at least 5 of the 6 answers must meet that bar. The certificate says the answers were graded by AI.
The rubric
- Module 1, Vehicle Design & Simulation: AI-assisted design recommendation with CFD surrogate analysis and crash optimization for Bharat NCAP compliance.
- Module 2, Autonomous Driving & ADAS: ADAS safety audit with sensor fusion and path planning for Indian traffic, against ISO 26262 ASIL requirements.
- Module 3, EV Battery & Powertrain: Battery health dashboard with SoH prediction and thermal-runaway risk scoring, for AIS-038/048 compliance.
- Module 4, Manufacturing & Quality: Production health brief with predictive maintenance, AI-vision defect detection, and IATF 16949 quality calibration.
- Module 5, Supply Chain & Logistics: Supply chain resilience plan with EV demand forecast under FAME II and Tier-1 supplier risk scoring.
- Module 6, Connected Vehicles & Fleet: Fleet intelligence dashboard with OTA rollout strategy for safety-critical ECUs and UBI driver scoring.
What you walk away with
Shareable portfolio
A public URL showing your module timeline, patterns mastered, and completion status.
Everything you build
Download all your work as a ZIP file. It is yours to keep.
Module walkthrough
Each module documented with deliverables and the production pattern you implemented.
Ready to start AI for Automotive & EV (India)?
First course free. $20 per course after that.