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

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The Advanced Modeling, ADAS & AUTOSAR Program for Automotive & EV Systems is a comprehensive 24-week, LIVE + Self-Paced career-focused program built to prepare engineers for the future of intelligent mobility and autonomous systems. The program offers hands-on, end-to-end training in both ADAS (Advanced Driver Assistance Systems) and AUTOSAR (Automotive Open System Architecture) — with simulation and modeling expertise. Learners gain practical experience in automotive software design, simulation, and validation using industry-standard tools such as MATLAB, Simulink, QSS, Python, and machine learning frameworks. With in-depth modules on EV system design, sensor fusion, safety systems, and embedded software architecture, participants develop the technical expertise required to thrive in careers across electric vehicles, autonomous driving, and automotive software engineering.

Leverage the prestige of IIT Guwahati

Program certificate and 'Executive Alumni Status' from the E&ICT Academy, IIT Guwahati

Opportunity to attend a campus immersion program hosted by IIT Guwahati

50+ Live Sessions Over 6 Months

Engage in interactive sessions led by IIT faculty and industry veterans.

Deep dive into advanced EV design, control systems, and embedded systems.

Flexible scheduling to accommodate working professionals and freshers.

Exclusive, Industry-Aligned Projects

Work on powertrain optimization and battery management systems.

Apply skills through EV simulations using MATLAB and SIMULINK.

Hands-on projects aligned with real-world industry needs.

One-on-One Mentorship

Receive personalized guidance on technical challenges.

Get career advice from seasoned mentors and industry experts.

In-depth support tailored to individual learning needs.

24/7 Learning Support by DIYguru

Access round-the-clock assistance for a smooth learning experience.

Immediate response to academic and technical queries.

Dedicated support team available for continuous guidance.

Learn from IIT Faculty & Industry Experts

Gain insights directly from IIT Guwahati faculty.

Learn from industry professionals with practical experience in EVs.

Bridge the gap between theoretical concepts and real-world applications.

Tailored for Working Professionals and Freshers

Flexible learning pathways to suit diverse needs.

Accommodates the schedules of working professionals.

Offers a comprehensive introduction for freshers entering the EV sector.

Flexible Payment Options with No-Cost EMI

Access quality education with interest-free payment plans.

Ease the financial burden of pursuing advanced studies.

Multiple payment options available for added convenience.

Industry-Recognized EICT - IIT Guwahati Certification

Boost your credentials with a globally recognized certification.

Enhance your career prospects in the EV industry.

Certification recognized by leading industry players and employers.

Comprehensive Career Services by DIYguru

Resume building and LinkedIn profile optimization.

1:1 mock interviews to prepare for job opportunities.

Dedicated career support to enhance employability.

Specialized Training from Tadpole Projects & EVI Technology Professionals

24 hours of additional training focused on EV embedded applications.

Hands-on training for EV retrofitment and practical applications.

Gain expertise from industry-leading professionals.

5-Day Campus Immersion at DIYguru COEs developed with L&T Edutech

Experience state-of-the-art labs and facilities.

Network with peers and industry leaders during the program.

Engage in on-campus activities for a deeper learning experience.

NEAT AICTE & ASDC Accreditation

Accredited by NEAT AICTE and ASDC for high educational standards.

Ensures industry relevance and compliance with technical standards.

Recognized by employers across the EV industry.

Vast Industry Tie-Ups

Leverage DIYguru's extensive network of industry partnerships.

Access opportunities for job placements and industry exposure.

Collaborations with leading automotive and EV manufacturers.

Access to emobility.careers Portal

Leverage DIYguru's extensive network of industry partnerships.

Access opportunities for job placements and industry exposure.

Collaborations with leading automotive and EV manufacturers.

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Advanced Driver Assistance Systems (ADAS) Development
AUTOSAR-based Embedded Software Development
Model-Based Development (MBD) for Automotive Applications
EV Powertrain & Battery Management Systems (BMS) Software Engineering
Functional Safety (ISO 26262) & Cybersecurity (ISO 21434) Compliance
Vehicle Communication (CAN, LIN, FlexRay, Ethernet) Engineering
AI & Computer Vision for Autonomous Vehicles
Real-Time Operating Systems (RTOS) & Multi-Core Processing
HIL/SIL/MIL Testing for ADAS & EV Systems

ADAS Software Engineer (Radar, LiDAR, Camera Sensor Fusion)
AUTOSAR Embedded Software Engineer (Classic & Adaptive AUTOSAR)
Model-Based Development Engineer (MATLAB, Simulink, Embedded C)
Vehicle Communication Engineer (CAN, LIN, FlexRay, SOME/IP)
Functional Safety Engineer (ISO 26262 Compliance)
Cybersecurity Engineer (ISO 21434 & Secure Boot Implementation)
Battery Management System (BMS) Engineer (EV Powertrain & Battery Control)
HIL Validation Engineer (SIL, MIL, HIL Testing using dSPACE, CANoe)
AI & Perception Engineer (Computer Vision & Sensor Fusion for ADAS)

AUTOSAR Classic & Adaptive (Architecture, RTE, MCAL, BSW, OS, COM)
MATLAB/Simulink & Model-Based Development (MIL, SIL, HIL)
AI & Machine Learning for ADAS (Python, OpenCV, TensorFlow)
Vehicle Communication Protocols (CAN, LIN, FlexRay, SOME/IP, DDS)
Embedded C & C++ for Automotive Software Development
ADAS Sensor Integration (Radar, LiDAR, Camera, Ultrasonic Sensors)
ISO 26262 Functional Safety & ISO 21434 Cybersecurity Implementation
BMS, Power Electronics & Motor Control Strategies for EVs
HIL Testing & Validation (Vector CANoe, dSPACE, NI LabVIEW)
Real-Time Operating Systems (RTOS) for Automotive ECUs

Tata Motors
Mahindra Electric Mobility Limited
Hero Electric
Ather Energy
Ola Electric
TVS Motor Company
Bajaj Auto
MG Motor India
Hyundai Motor India
Ashok Leyland
JBM Auto
Kinetic Green Energy & Power Solutions

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Module 1: EV Engineering Essentials Part I and II

Module Description:
- In this foundational module, you’ll explore the essential components and technologies of electric vehicles, covering the transition from internal combustion engines (ICE) to EVs. This part covers EV design principles, key subsystems, and safety considerations, along with battery technologies, power electronics (inverters, converters), and motor systems, with a focus on control strategies and efficiency optimization. You’ll also gain insights into vehicle electrification, voltage distribution, and the latest charging technologies, including standards and fast-charging solutions.
Module Details:
- Starting with EV Technology: Overview of Electric Vehicles, Components, Key Technologies.
- Understanding ICE to EV Transition: Key Differences, Benefits, Challenges.
- Electric Vehicle Engineering: EV Design Principles, Key Subsystems, Safety Considerations.
- Battery Technology for EV Systems: Battery Chemistries, Energy Density, Charging Cycles
- Power Electronics for EV Systems: Inverters, Converters, Power Management.
- Motor Systems for Electric Vehicles: Types of Motors, Control Strategies, Efficiency Optimization.
- Vehicle Electrification Systems: Vehicle Wiring, Voltage Distribution, High and Low Voltage Components.
- Electric Vehicle Charging Technology: Charging Infrastructure, Standards (CCS, CHAdeMO), Fast Charging Solutions.

Module 2: Advanced Certification in Electric Vehicle Design and Simulation using MATLAB, SIMULINK, and QSS

Module Description:
- This module covers key aspects of electric vehicle (EV) development, including architecture modeling, powertrain design, and energy flow simulations. It analyzes road load factors like aerodynamic drag, rolling resistance, and gradient forces. The module also focuses on inverter design, efficiency, and thermal management, along with advanced Simscape modeling for electrical, mechanical, and thermal systems. Additionally, it integrates QSS and ADVISOR toolboxes for vehicle design, energy efficiency analysis, and battery performance modeling.
Module Details:
- Road Load Understanding: Forces Acting on Vehicles, Load Distribution
- Road Load Analysis: Modeling Aerodynamic Drag, Rolling Resistance, Gradient Forces
- Inverter Design and Modeling: Sizing, Efficiency, Thermal Management
- Advanced Simscape Modeling: Electrical, Mechanical, Thermal Modeling for EV Systems
- QSS and ADVISOR Toolbox Applications: Vehicle Design Simulations, Energy Efficiency Analysis
- BMS Modeling and Energy Analysis: Battery Performance Modeling, Energy Flow Simulations

Module 3: Introduction To AUTOSAR

Module Description:
- This module introduces AUTOSAR, covering its definition, history, and key goals. It highlights the importance of AUTOSAR for standardization, scalability, and reusability in automotive applications.
Module Details:
- Course Overview & Learning Outcomes
- Guidelines for Course Participation
- Introduction to AUTOSAR – Definition, History, and Goals
- Why AUTOSAR is Essential – Standardization Benefits, Scalability & Reusability in Automotive Applications.

Module 4: Basic Software (BSW) Layer

Module Description:
- This module provides an overview of the AUTOSAR Basic Software architecture, focusing on key layers such as the Services Layer, ECU Abstraction Layer, and Microcontroller Abstraction Layer (MCAL). Learners explore how standardized interfaces and the communication stack enable hardware-independent software development in automotive systems.
Module Details:
- Overview of the AUTOSAR Basic Software (BSW)
- Introduction to BSW Module
  - Services Layer
  - ECU Abstraction Layer
  - Microcontroller Abstraction Layer (MCAL)
- AUTOSAR Layered Architecture:
  - Communication Stack
  - Interface Abstractions & Standardized APIs

Module 5: Software Components (SWC)

Module Description:
- This module covers the roles of Atomic and Composite Software Components in AUTOSAR. It introduces component composition through functional grouping and reusability patterns, enabling modular and scalable automotive software design..
Module Details:
- Software Components and Their Roles:
  - Atomic Software Components
  - Composite Software Components
- Composition Examples:
  - Functional Grouping & Reusability Patterns

Module 6: Ports & Interfaces

Module Description:
- This module focuses on the communication mechanisms between AUTOSAR Software Components using well-defined ports and interfaces. Learners explore the Sender-Receiver (SR) and Client-Server (CS) models, which enable data exchange and service-oriented communication. The module also covers port-level interface definitions, connectors, and port compositions, with practical examples demonstrating how components interact within an automotive ECU environment.
Module Details:
- Port-Level Interface Definitions in AUTOSAR
- Sender-Receiver (SR) Communication Model – Data Exchange Principles
- Client-Server (CS) Interface – Service-Oriented Communication
- Connectors & Port Compositions
- Practical Examples – Port-to-Port Communication Scenarios

Module 7: Runnables And Events

Module Description:
- This module focuses on Runnables in AUTOSAR, which serve as the execution entities within Software Components (SWCs). It details the various types of events that trigger these Runnables to execute, including Time Events that occur at specific intervals, Mode Switch Events triggered by changes in system modes, and Operation Invocations initiated by function calls.
Module Details:
- Runnables in AUTOSAR – Execution Entities of SWCs.
- Events Triggering Execution:
  - Time Events
  - Mode Switch Events
  - Operation Invocations

Module 8: Application Software Component (ASW)

Module Description:
- This module provides an overview of the Application Software (ASW) Layer, focusing on the design of its functional layer. It covers how various functionalities are mapped and organized into Software Components (SWCs), enabling modular and efficient software development in AUTOSAR systems.
Module Details:
- ASW Layer Overview – Functional Layer Design
- Mapping Functionalities into SWCs

Module 9: Run-Time Environment (RTE)

Module Description:
- This module introduces the Run-Time Environment (RTE) layer, which acts as middleware between Software Components (SWCs) and the Basic Software (BSW) layer. It covers the two main RTE communication models: Sender-Receiver and Client-Server. The module explains the end-to-end communication flow facilitated by the RTE, along with event scheduling and triggering mechanisms managed through the RTE. Additionally, it includes the process of RTE code generation using AUTOSAR builder tools and the output artifacts produced.
Module Details:
- Introduction to RTE Layer – Roles.
- Middleware between SWC and BSW
- Sender-Receiver RTE Communication
- Client-Server RTE Communication
- End-to-End Communication Flow using RTE
- Event Scheduling and Triggering via RTE
- RTE Code Generation – AUTOSAR Builder Tools & Output Artifacts.

Module 10: AUTOSAR Development Methodology

Module Description:
- This module covers the AUTOSAR development methodology, focusing on the engineering approaches used in AUTOSAR including top-down and bottom-up development. It explains the complete workflow of system design, configuration, and integration within AUTOSAR, supplemented by real-world examples illustrating the lifecycle of component development.
Module Details:
- Engineering Approach in AUTOSAR – Top-down vs. Bottom-up Development.
- AUTOSAR Methodology Workflow – System Design, Configuration, Integration.
- Real-World Examples – Lifecycle of Component Development

Module 11: Introduction To ADAS

Module Description:
- This module introduces the fundamental concepts of Advanced Driver Assistance Systems (ADAS), explaining their essential role in modern vehicles. It provides a visual understanding of ADAS components and how they interact within the system. Additionally, the module explores the importance of ADAS as the foundational technology for autonomous driving and covers key terminology and global standards related to ADAS.
Module Details:
- What is ADAS – Understand the core concept of Advanced Driver Assistance Systems and their role in modern vehicles.
- Block Diagram Representation – Visual overview of ADAS components and system interactions.
- Role of ADAS in Today’s Autonomous Driving – Explore how ADAS is building block for autonomous vehicle technologies.
- Specific Terms and Standard Definitions – Learn common terminology and global standards relevant to ADAS.

Module 12: Implementation Of ADAS in MATLAB

Module Description:
- This module focuses on practical implementation of Advanced Driver Assistance Systems (ADAS) using MATLAB. It covers simulation and modeling of automotive radar systems for object detection. The camera-based vision system section deals with image acquisition and object recognition through computer vision techniques. You will also learn to simulate ultrasonic sensors for close-range object detection and parking assistance. The module includes LIDAR technology for 3D mapping and obstacle detection using laser-based systems. Finally, it addresses integration of GNSS, GPS, and IMU sensors to support accurate vehicle positioning and navigation..
Module Details:
- Automotive Radar – Simulation and modeling of radar-based object detection.
- Camera (Vision System) – Image acquisition and object recognition using computer vision.
- Ultrasonic Sensor – Close-range object detection and parking assistance simulation.
- LIDAR – 3D mapping and obstacle detection using laser-based systems.
- GNSS, GPS, IMU – Integration of location and motion sensors for vehicle positioning and navigation.

Module 13: Machine Learning Implementation In Adas

Module Description:
- This module introduces the use of AI, ML, and DL in ADAS, focusing on how data-driven models enhance driving safety. It covers core concepts like classification, detection, and prediction, along with sensor fusion for improved accuracy and the hardware requirements for real-time AI processing in vehicles.
Module Details:
- Introduction to Machine Learning in ADAS – Role of Al and data-driven models in enhancing driving safety
- ML & DL in ADAS – Overview – Introduction to classification, detection, and prediction using ML/DL
- ML & DL in ADAS – Sensors and Sensor Fusion – Combining data from multiple sensors for improved accuracy
- ML & DL in ADAS – Processors – Understanding hardware requirements and optimization for Al models.

Module 14: Safety Systems In ADAS– Part 1

Module Description:
- This course offers a compact overview of ADAS safety features that help prevent or reduce collisions. Topics include Adaptive Cruise Control, Cross Traffic Alerts, Blind Spot Detection, Lane Change Assist, Parking & Headlight Assistance, as well as Occupant, Pedestrian, and Evasive Protection Systems — all designed to enhance situational awareness and driving safety.
Module Details:
- Introduction – Overview of safety features that prevent or reduce collision risks
- Adaptive Cruise Control (ACC) – Maintaining safe distance and speed relative to surrounding vehicles
- Rear Cross Traffic Alert (RCTA) – Detecting approaching vehicles while reversing
- Vehicle Exit Alert – Warning when opening doors into oncoming traffic
- Front Cross Traffic Alert – Detecting vehicles approaching from the side at junctions
- Forward Collision Warning – Alerting drivers of imminent front-end collisions
- Vehicle Turning Assistance – Monitoring blind spots and surrounding vehicles during turns
- Blind Spot Detection – Detecting vehicles in the driver’s blind zone
- Lane Change Assist – Supporting safe and timely lane changes
- Parking Assistance System – Automated steering and alerts during parking
- Intelligent Headlight Control – Adjusting beam intensity and direction based on traffic conditions
- Occupant Protection System – Pre-crash systems like airbag deployment and seatbelt tensioning
- Pedestrian Protection System – Sensing and mitigating risk to pedestrians
- Evasive Steering Support – Assisting in controlled steering during obstacle avoidance

Module 15: Safety System In ADAS- Part 2

Module Description:
- This module explores advanced ADAS technologies that enhance driver awareness and vehicle stability. It covers systems like Traffic Sign Recognition, Speed Limit Assist, Lane Departure Warning, and 360° View Cameras, alongside critical safety features such as Driver Monitoring, Emergency Brake Assist, ABS, TCS, and Cross Wind Assist—all designed to improve response, control, and road safety.
Module Details:
- Introduction – Advanced systems for environment awareness and driver support
- Traffic Sign Recognition System – Detecting and interpreting road signs using vision-based systems
- Speed Limit Assist – Monitoring and maintaining legal speed limits dynamically
- Lane Departure Warning – Alerting drivers when unintentionally drifting out of lanes
- 360° Surrounding View System – Providing a bird’s-eye view for enhanced spatial awareness
- Driver Monitoring System – Observing driver behavior for signs of distraction or fatigue
- Driver Drowsiness Detection – Identifying early signs of driver fatigue
- Emergency Brake Assist – Supporting braking when sudden obstacles are detected
- Anti-lock Braking System (ABS) – Preventing wheel lock during hard braking
- Traction Control System (TCS) – Maintaining vehicle stability on slippery surfaces
- Cross Wind Assist – Stabilizing vehicle in strong lateral wind conditions

Module 16: Testing And Validation In ADAS

Module Description:
- Learn the validation of safety-critical ADAS features through rigorous testing techniques. Covers functional, scenario-based, and performance testing, including Simulation, SIL, HIL, and DIL methods. Also explores on-track and real-world validation approaches essential for ensuring ADAS reliability and road readiness..
Module Details:
- Introduction – The critical need for rigorous validation in safety-critical ADAS applications
- Overview of ADAS Testing – Functional, scenario-based, and performance testing approaches
- Simulation, SIL, HIL, and DIL Testing – Model-in-the-loop and hardware-in-the-loop validation techniques
- On-Track Testing and Real-World Validation – Physical testing on proving grounds and public roads

AUTOSAR Classic & Adaptive

MATLAB/Simulink

AI & Machine Learning for ADAS

Vehicle Communication Protocols

Real-Time Operating Systems

ADAS Sensor Integration

BMS, Power Electronics & Motor Control

HIL Testing & Validation

Real-Time Operating Systems

Entry-Level Training in ADAS, AUTOSAR & EV Systems for Beginners.
Industry-Oriented Curriculum to Bridge the College-to-Career Gap.
Hands-on Projects & Real-World Simulations for Practical Learning.
Job Readiness for Automotive, EV & Embedded Software Engineering Roles.
Exposure to Cutting-Edge Automotive Al & Machine Learning Applications.
Certification & Placement Support for Fresh Graduates in Automotive Industry.

Upskilling for Experienced Automotive Engineers transitioning into ADAS & AUTOSAR.
Bridging the Gap between Embedded Software & EV System Development.
Certification & Industry Recognition to enhance career growth.
Gaining Hands-on Experience with Industry-Standard Tools like Vector CANoe, MATLAB, Simulink.
Understanding Functional Safety &
Cybersecurity Compliance for regulatory adherence.
Advanced Knowledge of Al in ADAS for future autonomous vehicle roles.

Ability to design AUTOSAR-based software architectures for EVs and ADAS.
Hands-on experience with CAN, LIN, and Ethernet-based communication in vehicles.
Understanding of sensor fusion techniques for Radar, LiDAR, and Camera systems.
Proficiency in model-based development (MBD) using MATLAB/Simulink.
Knowledge of ISO 26262 (Functional Safety) and ISO 21434 (Cybersecurity) standards.
Ability to configure and implement AUTOSAR Classic and Adaptive Platforms.
Hands-on experience with HIL (Hardware-in-the-Loop) testing for ADAS applications.
Proficiency in Al-based perception models using OpenCV and TensorFlow.
Expertise in powertrain control and battery management in electric vehicles.
Readiness for industry roles in ADAS, AUTOSAR, and EV software engineering.

Automated Parking System

Design an AUTOSAR-based intelligent parking assistant using sensor fusion.

Adaptive Cruise Control (ACC)

Develop and test ACC algorithms using MATLAB/Simulink and AUTOSAR integration.

Lane Keep Assist (LKA)

Implement LKA with camera-based lane detection and vehicle control strategies.

Battery Management System (BMS) Simulation

Model and analyze EV BMS using MATLAB, Simulink, and AUTOSAR.

Complete on-site
classroom program

Location: Mumbai

LIVE + Recorded + Onsite + Hardware + Workshop

LIVE + Weekend on-site sessions

Location: Pune, Delhi

LIVE + Recorded + Hardware + Workshop

Location: Global

Hardware Labs Access

Two-Wheeler Simulator & Test Bench

The 2 Wheeler Simulator & Testbench focuses on evaluating EV battery performance, including voltage, current, discharge profiles, and capacity testing under various load conditions. It also covers Battery Management System (BMS) testing and dynamic load analysis to optimize electric bike performance and safety.

LAB 1

Charging Station Simulator and Test Bench

The Charging Station Simulator and Test Bench covers experiments focusing on the efficiency, behavior, and safety features of EV charging systems. It includes the measurement of voltage, current, and power consumption during charging, and tests security features like RFID and OTP-based authentication. Key areas include energy efficiency analysis, protection unit testing, and charging behavior under different conditions

LAB 2

EV Retrofitment Solution

The EV Retrofitment Solution manual provides guidelines for converting internal combustion engine vehicles (ICE) to electric vehicles (EV). It includes tests for system functionality, battery management, performance optimization, and safety feature integration. The manual focuses on ensuring proper installation, verifying throttle, pedal assist, and battery management systems, and conducting performance tests under real-world conditions

LAB 3

Electronics & Embedded System Development KIT

The Electronics & Embedded Systems Development Kit is designed for hands-on learning with embedded systems and microcontrollers like Arduino and STM32. It covers key experiments like controlling LEDs, setting up Pulse Width Modulation (PWM) for dimming lights, serial communication, and sensor integration. Advanced projects include battery monitoring, motor control, and safety alert systems for electric vehicles

LAB 4

EV In-house manufacturing & Development KIT

The EV In-house Manufacturing & Development KIT provides all the essential tools and components for building and prototyping electric vehicles, supporting the entire development process from concept to production. It includes equipment for battery monitoring, motor control, system integration, and real-time data analysis, ensuring seamless development for EV projects

LAB 5