Nanodegree Program in Advanced Modeling, ADAS & AUTOSAR Program for Automotive & EV Systems eMobility Academy

Nanodegree Program in Advanced Modeling, ADAS & AUTOSAR Program for Automotive & EV Systems

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Advanced Modeling, ADAS & AUTOSAR for Automotive & EV Systems

Certified by AICTE | ASDC | NEAT


Program Overview

The Advanced Modeling, ADAS & AUTOSAR Program for Automotive & EV Systems is a 6-month, industry-focused training designed to prepare engineers for the future of electric and autonomous mobility. It provides end-to-end learning in ADAS (Advanced Driver Assistance Systems) and AUTOSAR (Automotive Open System Architecture), with a strong focus on modeling and simulation. 

Participants gain hands-on experience using tools like MATLAB, Simulink, QSS, and machine learning frameworks. With modules covering EV system design, sensor fusion, safety systemsPython, and software architecture, the program equips learners with the technical skills needed to succeed in roles across EV development, autonomous driving, and automotive software engineering.


Course Structure (5 Expert Tracks)

Course 1: Electric Vehicle Essentials

Foundation for Every EV Professional

  • Module 1: Introduction to EV Technology & Market Ecosystem
  • Module 2: Transition from ICE to EV Systems
  • Module 3: Battery Technologies—Types, Performance, and Safety
  • Module 4: Power Electronics & Motor Systems for EVs
  • Module 5: Charging Systems & Vehicle Electrification

Ideal For: Beginners, Startups, Engineers Entering the EV Domain.


Course 2: MATLAB-SIMULINK, QSS & Advisor Toolbox for EV Design

 Simulation Mastery for Modern EV Engineering

  • Module 1: MATLAB Programming Essentials
  • Module 2: Introduction to MATLAB-Simulink for Dynamic System Modeling
  • Module 3: QSS Toolbox—Quasi-Steady-State Modeling for EVs
  • Module 4: Advisor Toolbox—Full EV Simulation & Performance Testing
  • Module 5: Case Study—Building & Simulating an EV Drivetrain Model

Tools Covered: MATLAB, Simulink, ADVISOR Toolbox
Outcome: Build real-time models & evaluate full vehicle performance.


Course 3: Embedded Systems Course: Embedded C, 8051, Arduino & Simulation

From Microcontroller Fundamentals to Full Project Simulation

  • Module 1: Introduction to the Embedded Systems
  • Module 2: Essentials of 8051 Microcontroller—Addressing Modes & Instruction Set of 8051 Microcontroller
  • Module 3: Timers, TCON Register & Interrupts in 8051 Microcontroller
  • Module 4: Embedded C Programming & Embedded Applications for Development
  • Module 5: Communication Protocols for Embedded Systems
  • Module 6: Arduino and Simulation-Based Development for Embedded Systems
  • Module 7: Arduino based project development

Master embedded systems by programming 8051 and Arduino, implementing protocols, Embedded C and building real-time applications.


Course 4: Certification Course in AUTOSAR for EVs: Standards & Software Architecture

From EV Fundamentals to Embedded Software Integration using AUTOSAR Architecture

  • Module 1: Introduction to AUTOSAR
  • Module 2: Basic Software (BSW) Layer
  • Module 3: Software Components (SWC)
  • Module 4: Ports & Interfaces
  • Module 5: Runnables & Events
  • Module 6: Application Software Component  (ASW)
  • Module 7: Run-Time Environment (RTE)
  • Module 8: AUTOSAR Development Methodology
  • Module 9: Demonstration & Hands-On Practice
  • Module 10: Summary & Course Wrap-Up

Gain hands-on experience with AUTOSAR architecture, embedded software layers, and EV-specific implementation through real-time simulations and practical tools.


Course 5:  Advanced Driver Assistance Systems (ADAS) for EVs

From Sensor Integration to ADAS Algorithm Simulation using MATLAB & Simulink

  • Module 1: Introduction to ADAS and MATLAB
  • Module 2: MATLAB Basics
  • Module 3: Data Analysis and Visualization
  • Module 4: ADAS Sensors Overview
  • Module 5: Signal Processing for ADAS
  • Module 6: ADAS Algorithms
  • Module 7: Simulating ADAS Systems
  • Module 8: Case Study and Project Introduction
  • Module 9: Implementation Of Adas In Matlab
  • Module 10: Machine Learning Implementation In Adas
  • Module 11: Safety Systems in ADAS—Part 1
  • Module 12: Safety Systems in ADAS—Part 1
  • Module 13: Testing And Validation In Adas
  • Module 14: ADAS Development Using Python

Master the foundations of ADAS development with hands-on projects, signal processing techniques, and real-time simulation for electric vehicles.


Program Highlights

  • Accredited by NEAT AICTE, ASDC
  • 105+ Hours of Training | 4+ Industry Projects | Real Hardware Labs Access
  • Job Portal Access (emobility.careers) + Resume Support
  • 1:1 Mentorship from & Industry Experts
  • Lifetime access to course content + community Q&A sessions

Career Roles After Completion

EV Design Engineer | Model-Based Design Engineer (MBD Engineer) | ADAS Development Engineer | AUTOSAR Software Engineer | Automotive Embedded Systems Engineer


Delivery Format

  • Live Sessions + Recorded Modules
  • Optional Onsite Workshops in Pune, Delhi
  • DIY Lab Kits & Remote Hardware Integration (available at extra cost)

Pricing & Payment

Flexible plans with No-Cost EMI Available
Scholarships for meritorious candidates | Corporate Upskilling Packages Available


 Ready to Build the Future of Mobility?

[Apply Now]

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Courses in the Bundle (6)

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