Professional Course in

EV – DATA Analysis and Cyber security

Duration – 48 Hours   Mode of Delivery – ILT Sessions / Physical

Course Overview

This course is for engineering stakeholders in the EV domain aiming to enhance skills in data analytics, cybersecurity, cloud computing, IoT, and predictive maintenance. It covers applying AI, digital twins, and cloud solutions to optimize performance, security, and reliability.

Target Audience

  • EV engineers specializing in data analytics and cybersecurity

  • Professionals handling real-time data and secure communications

  • Teams managing fleet telematics and predictive maintenance

  • Engineers implementing ISO 21434 standards

  • Practitioners working with cloud diagnostics and threat mitigation

Objectives

To collect and analyze sensor, telematics, and BMS data using statistical and machine learning techniques to optimize EV performance and reliability.


To identify communication network vulnerabilities and apply encryption, intrusion detection, and ISO 21434 standards for EV cybersecurity.


To design cloud-based architectures and integrate IoT systems for real-time EV monitoring, diagnostics, and fleet management.


To develop AI-driven digital twins for battery packs, motors, and power electronics to simulate performance and predict failures.

To use AI and cloud analytics to forecast component failures and enable proactive predictive maintenance.

To ensure EV systems comply with functional safety (ISO 26262), cybersecurity (ISO 21434), and automotive regulations.

Course Modules


Introduction to Data Analytics in EVs


Cybersecurity in EV


Cloud Computing Architecture for EVs

Digital Twin


Case Study: Digital Twin Implementation in EVs


Prognosis – Health Monitoring and Predictive Maintenance (with Digital Twin ) of EV Components

Job Roles

Data Analytics Engineer (EV Systems)


Cybersecurity Engineer (Electric Vehicles)


Cloud Solutions Architect (EV Applications)


IoT Integration Engineer (Fleet Management)


Digital Twin Developer

Predictive Maintenance Engineer


Functional Safety Engineer


Automotive Compliance Specialist (ISO 21434 Cybersecurity Specialist)


EV Systems Engineer


AI/Machine Learning Engineer (EV Domain)