Intermediate 4 weeks
28 hours
AI Battery Analytics
ML for State Estimation & Predictive Maintenance
Apply machine learning to battery management. Build models for state-of-charge estimation, remaining useful life prediction, and anomaly detection.
AI Battery EV Time Series
₹11,999
Bundle 2+ for 20% off, 3+ for 33% off
3 Projects
Certificate
Live Q&A
Lifetime Access
About this Bootcamp
AI is transforming battery management systems with more accurate predictions and early fault detection.
This bootcamp teaches you to:
- Build ML models for SoC/SoH estimation
- Train LSTM networks on battery cycling data
- Implement anomaly detection for cell faults
- Deploy models on edge devices (BMS)
- Integrate predictions with battery management
Create an end-to-end ML pipeline for battery health monitoring using real cell cycling data.
What's Included
28h
Content
3
Projects
4
Modules
4
Weeks
Syllabus
1 Battery Data & ML Basics
6 hours
Battery Data & ML Basics
6 hours
Time series ML for battery applications
- Battery Data Types 35m
- Time Series Fundamentals 45m
- Feature Engineering for Batteries 40m
- Hands-on: NASA Battery Dataset 60m
2 State Estimation Models
7 hours
State Estimation Models
7 hours
ML for SoC and SoH prediction
- SoC Estimation Approaches 45m
- LSTM Networks for Time Series 50m
- SoH Degradation Models 40m
- Project: SoC Predictor 120m
3 Predictive Maintenance
7 hours
Predictive Maintenance
7 hours
Remaining useful life and anomaly detection
- RUL Prediction Models 50m
- Anomaly Detection 45m
- Transformer Models for Batteries 40m
- Project: Fault Detection System 120m
4 Edge Deployment
8 hours
Edge Deployment
8 hours
Deploy models on BMS hardware
- Model Quantization 40m
- TensorFlow Lite for MCUs 50m
- BMS Integration 45m
- Final Project: Edge ML Pipeline 150m
What Students Say
"Finally a course that bridges battery engineering and AI. The edge deployment module is exactly what I needed."
Sneha Reddy
BMS Engineer at a Leading EV Startup
What's Included
- 28 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
1 May Enrolling
27 seats left
