- Description
- Curriculum
- Reviews
Master EV Software & Embedded Systems —
Build the Brain Behind Electric Vehicles
A hands-on, industry-aligned course covering embedded C/C++, AUTOSAR, CAN bus, BMS firmware, motor control algorithms, and real-time OS — delivered live online with lifetime access to recorded sessions.
✓ Live Doubt Sessions ✓ Industry Mentors ✓ Placement Support
What You'll Learn in the EV Software & Embedded Systems Course
The electric vehicle industry runs on software. From the Battery Management System that keeps your cells safe, to the motor control algorithms that deliver smooth torque — every function depends on embedded engineers who can write reliable, real-time firmware.
This course is designed for engineers, graduates, and professionals who want to move beyond theory and work on the actual software stack powering modern EVs. You will write code in embedded C/C++, configure AUTOSAR layers, design CAN bus communication, and simulate BMS firmware — all with live mentorship and industry-standard tools.
Every module combines concept sessions with lab work, so you finish each topic with working code, not just notes.
6-Month EV Software Curriculum — Module by Module
Expand any module to see what's covered. All modules include live theory sessions, recorded walkthroughs, and hands-on lab assignments.
- Data types, pointers, memory management in embedded context
- GPIO control, timers, interrupts on ARM Cortex-M MCUs
- Bare-metal programming vs. RTOS — when to use which
- Lab: Blink + sensor read on STM32 / Arduino
- FreeRTOS fundamentals: tasks, queues, semaphores, mutexes
- Scheduling strategies for EV control loops
- Determinism, latency, and safety considerations
- Lab: Implement a task scheduler for motor control simulation
- CAN 2.0A/B protocol deep-dive: frames, arbitration, error handling
- LIN and CAN FD — when and why they're used in EVs
- OBD-II and UDS diagnostic protocols
- Lab: Simulate a CAN network — BMS to VCU message exchange
- Cell chemistry basics for firmware engineers (Li-Ion, LiFePO4)
- SoC estimation algorithms: Coulomb counting, Kalman filter
- Cell balancing logic — passive vs. active balancing firmware
- Thermal management and protection thresholds
- Lab: Build a BMS firmware prototype with fault detection
- AUTOSAR Classic vs. Adaptive architecture
- Software Component (SWC), RTE, BSW layers
- MISRA C guidelines and safety-critical coding standards
- ISO 26262 Functional Safety — ASIL levels explained
- Lab: Configure AUTOSAR layers using open-source toolchain
- FOC (Field-Oriented Control) and BLDC/PMSM motor control
- PWM generation, ADC sampling, current sensing
- Vehicle Control Unit (VCU) logic: torque request, regen braking
- CAN integration between VCU, BMS, and inverter
- Lab: Simulate FOC motor control loop in MATLAB/Simulink
- End-to-end EV subsystem simulation — group project
- Code review, documentation, and GitHub best practices
- Resume building, LinkedIn profile, interview prep for EV roles
- Placement support and hiring partner introductions
Industry Tools You'll Work With
You won't just learn concepts — you'll use the same tools that EV engineers use in professional environments.
Is This Course Right for You?
This Course Is Designed For
Engineering Graduates
B.Tech / B.E. graduates in ECE, EEE, Mechanical, or Automotive Engineering looking to enter the EV software domain.
Working Engineers
Embedded engineers, firmware developers, or automotive software professionals who want to upskill for EV-specific roles.
Career Switchers
IT or electronics professionals looking to transition into the fast-growing electric vehicle industry.
Industry Professionals
R&D, product, or testing engineers in automotive companies preparing for the EV software shift.
What You Should Know Before Joining
Helpful to have:
- Basic C or C++ programming (college level is fine)
- Fundamentals of electronics (digital circuits, microcontrollers)
- Curiosity about how electric vehicles work
Not required:
- Prior embedded systems experience
- Knowledge of automotive protocols
- Prior AUTOSAR or RTOS experience
Skills You'll Have After Completing This Course
Write embedded C/C++ firmware for automotive-grade MCUs
Design and debug CAN bus communication between EV subsystems
Build BMS firmware with SoC estimation and fault protection logic
Implement FreeRTOS task scheduling for real-time EV control
Understand AUTOSAR architecture and configure software layers
Apply MISRA C coding standards for safety-critical software
Simulate motor control (FOC) algorithms in MATLAB/Simulink
Read and interpret ISO 26262 functional safety requirements
Complete a full EV subsystem capstone project for your portfolio
Interview confidently for embedded/EV software roles at OEMs and Tier 1s
CAREER SCOPE
Roles Our Alumni Are Working In
What Our EV Software Students Say
"The CAN bus and BMS firmware modules were exactly what I needed. I cleared my embedded systems interview at a major EV OEM within two months of completing the course."[STUDENT NAME 1] [Role, Company]
"The live sessions with industry mentors made a real difference. I could ask questions that no textbook would answer. The AUTOSAR module alone is worth the entire course fee."[STUDENT NAME 2] [Role, Company]
"I transitioned from a core IT role to an EV firmware position in six months. IISE's placement support and the capstone project gave me the portfolio I needed to make that switch credible."[STUDENT NAME 3] [Role, Company]
⭐ 4.8 / 5.0 · Based on 200+ student reviews · IISE Verified
Frequently Asked Questions
Ready to Build the Software That Powers Electric Vehicles?
Join India's most comprehensive EV Software & Embedded Systems course — with live mentorship, industry tools, and placement support.
Questions? Call us at [PHONE_NUMBER] or email [EMAIL]
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