---
title: "ADAS & AUTOSAR Training Program for Automotive & EV Systems"
description: "**6-Month Industry Certification | DIYguru + TATA Technology | Accredited by ASDC & AICTE (NEAT)** ## Why This Program Matters (Industry Context & Career ROI) Modern vehicles are **computers on wheels**. From adaptive cruise control to lane-keeping assist, and from…"
url: "https://diyguru.org/guide/adas-autosar-training-program-for-automotive-ev-systems/"
updated: "2026-02-26"
category: Popular EV Training Programs
---

# ADAS & AUTOSAR Training Program for Automotive & EV Systems

**6-Month Industry Certification | DIYguru + TATA Technology | Accredited by ASDC & AICTE (NEAT)**

## Why This Program Matters (Industry Context & Career ROI)

Modern vehicles are **computers on wheels**. From adaptive cruise control to lane-keeping assist, and from embedded ECUs to over-the-air updates, **ADAS (Advanced Driver Assistance Systems)** and **AUTOSAR (AUTomotive Open System ARchitecture)** define the future of **automotive & EV software**.

- **Global Outlook**: The ADAS market is projected to reach **USD 75 billion by 2030**; AUTOSAR adoption is now *mandatory* in most Tier-1 OEM software stacks.
- **India's EV Transition**: With **10M EVs targeted by 2030**, demand for **ADAS/AUTOSAR engineers** is growing across OEMs (Tata, Mahindra, Ola, Hyundai, Bosch, KPIT).
- **Skill Gap**: Traditional automotive engineers lack exposure to **embedded software workflows (C/MATLAB/Simulink)** and **safety standards (ISO 26262, ISO 21434)**. This program closes that gap.

**Program ROI:** You'll graduate able to configure AUTOSAR stacks, build ADAS sensor-fusion pipelines, validate features via HIL/SIL testing, and step directly into **high-paying roles** like ADAS Engineer, AUTOSAR Developer, Functional Safety Engineer, and HIL Validation Engineer.

## Program Objectives

- Train engineers in **AUTOSAR Classic & Adaptive platform development** for ECU applications in EVs.
- Build expertise in **ADAS algorithms**, from sensor data acquisition (Camera/Radar/LiDAR) to perception and decision layers.
- Enable practical **Model-Based Development (MBD)** with MATLAB/Simulink integrated into AUTOSAR workflows.
- Provide **AI/ML exposure** for ADAS (Python, OpenCV, TensorFlow) with focus on perception pipelines.
- Prepare learners for **safety & cybersecurity compliance** (ISO 26262, ISO 21434).
- Deliver **hands-on labs and industry projects** validated through **HIL (Hardware-in-the-Loop), SIL (Software-in-the-Loop), and DIL (Driver-in-the-Loop)** approaches.

## Program Overview

- **Duration**: 6 Months | 200+ Hours Structured Learning
- **Format**: Weekly Live Classes + Recorded Modules (Lifetime Access)
- **Hands-on**: 6+ Research Projects | Supervisor-Led Major Project | On-site Research at DIYguru Labs/COEs
- **Hardware-Software Integration**: MATLAB/Simulink, AUTOSAR stack tools, Vector CANoe, dSPACE, Python (OpenCV/TensorFlow)
- **Certification**: Jointly by DIYguru + TATA Technology; Accredited by ASDC & AICTE
- **Career Support**: Placement access via **eMobility.careers job portal**, resume clinics, mock interviews, employer connects.

## Detailed Curriculum (40+ Modules)

### Term 1 -- Foundations (Weeks 1-6)

**1) EV & Embedded Systems Primer**

- ICE vs. EV software complexity.
- Role of ECUs in EVs (BMS ECU, Motor Control ECU, Charging ECU).
- Introduction to AUTOSAR compliance in EV software.

**2) ADAS Landscape & Standards**

- SAE levels of autonomy (L0 → L5).
- ADAS roadmap: ACC, Lane Assist, Blind Spot, Collision Warning.
- Safety standards: ISO 26262, ISO 21434, UNECE WP.29.

**3) MATLAB/Simulink MBD Basics**

- Signal flow, control systems, EV modeling.
- Simscape for vehicle dynamics.
- Exporting AUTOSAR-compliant code.

### Term 2 -- AUTOSAR Classic & Adaptive (Weeks 7-14)

**4) AUTOSAR Fundamentals**

- AUTOSAR goals, layered architecture.
- ECU abstraction, BSW (Basic Software), MCAL (Microcontroller Abstraction Layer).

**5) Runtime Environment (RTE)**

- Middleware between application SWCs and BSW.
- Event handling, runnables, and task scheduling.

**6) Ports, Interfaces & Communication Stacks**

- Client-server vs. sender-receiver patterns.
- CAN, LIN, FlexRay, SOME/IP integration.

**7) AUTOSAR Methodology & Tooling**

- AUTOSAR XML (ARXML).
- Configuration workflows (DaVinci, Vector tools).
- Top-down vs. bottom-up design.

**8) AUTOSAR Adaptive Platform**

- Microservices, POSIX OS integration.
- Ethernet/IP communication.
- Adaptive use cases in ADAS/EVs.

### Term 3 -- ADAS Systems & AI (Weeks 15-22)

**9) ADAS Sensors**

- Radar, Camera, LiDAR, Ultrasonic, GNSS.
- Strengths, limitations, and fusion strategies.

**10) ADAS Algorithm Development in MATLAB**

- Lane detection, vehicle detection, TSR (Traffic Sign Recognition).
- ACC and Collision Warning.
- Drowsiness detection.

**11) Python for ADAS**

- OpenCV pipelines for lane & object detection.
- Deep Learning with TensorFlow/Keras for perception.
- Sensor data preprocessing & augmentation.

**12) ADAS Safety Systems**

- ABS, TCS, ESC.
- Emergency braking, adaptive cruise control.
- Testing standards.

### Term 4 -- Validation, Safety & Capstone (Weeks 23-26)

**13) Testing & Validation Frameworks**

- MIL/SIL/HIL/DIL testing methodologies.
- Using Vector CANoe, NI LabVIEW, dSPACE.
- Fault injection and robustness testing.

**14) Functional Safety & Cybersecurity**

- ISO 26262: safety goals, ASIL classification.
- ISO 21434: cybersecurity layers for ADAS/ECUs.
- Secure coding practices (MISRA C).

**15) Major Capstone Project**

- Choose track: **AUTOSAR (ECU design)** OR **ADAS (sensor fusion)**.
- Deliverables: requirements spec, simulation models, ARXML configs, firmware prototype, test validation report.

## Hands-on Labs & Practical Workflows

Every theoretical module is paired with labs:

- **AUTOSAR Labs**:
  - Configure MCAL layer for CAN communication.
  - Implement an AUTOSAR SWC for Battery Voltage Monitoring.
  - Generate ARXML and integrate into RTE.
  - Validate ECU communication in Vector CANoe.
- **ADAS Labs**:
  - Lane detection with MATLAB & OpenCV.
  - Radar-camera fusion project in Simulink.
  - Train a deep-learning TSR model using Python/TensorFlow.
  - Implement drowsiness detection pipeline.
- **Validation Labs**:
  - HIL test of an AUTOSAR-based speed monitoring ECU.
  - SIL validation of ADAS lane-keeping assist.
  - CAN bus simulation with injected errors.

## Industry Projects

1. **Sensor Fusion for Obstacle Detection** - Radar + Camera fusion in MATLAB/Simulink.
2. **AUTOSAR-Based Speed Monitoring ECU** - Safety thresholds, alert logic, ARXML configs.
3. **Driver Drowsiness Detection** - ML-based detection pipeline with real-world datasets.
4. **Battery Monitoring AUTOSAR Application** - CAN logging, diagnostics, and fail-safe logic.
5. **V2X Communication Simulation** - Integrating ADAS with connected vehicle protocols.

## Career Pathways & Job Roles

Graduates of the **DIYguru ADAS & AUTOSAR Training Program for Automotive & EV Systems** will be ready for roles like:

- AUTOSAR Embedded Software Engineer (Classic/Adaptive)
- ADAS Engineer (Radar/LiDAR/Camera fusion)
- Model-Based Development Engineer (MATLAB/Simulink)
- Functional Safety Engineer (ISO 26262)
- Cybersecurity Engineer (ISO 21434)
- HIL/SIL Validation Engineer (Vector/dSPACE)
- AI/Computer Vision Engineer for ADAS

## Benefits

- **Joint Certification** by **DIYguru + IIT Guwahati E&ICT Academy** (with ASDC + AICTE recognition).
- **Placement access** through eMobility.careers and hiring partners.
- **Portfolio of 6+ projects + 1 capstone** showcased to recruiters.
- **Global standards-based curriculum** (ISO, AUTOSAR, ADAS standards).
- **Access to DIYguru Labs** for on-site projects in Delhi, Pune, Malaysia, Germany.

## FAQs

1. **Is the DIYguru ADAS & AUTOSAR Training Program for Automotive & EV Systems equivalent to a master's degree?**
   No. It is a professional certification with industry-recognized accreditations (ASDC, AICTE), not a university degree.
2. **Does the DIYguru ADAS & AUTOSAR Training Program include hands-on projects?**
   Yes, it includes 6+ research projects, HIL/SIL labs, and one major capstone project.
3. **Who should join the DIYguru ADAS & AUTOSAR Training Program?**
   Fresh graduates, working professionals in automotive/embedded, and EV/ADAS startups.
4. **What tools are taught in the DIYguru ADAS & AUTOSAR Training Program?**
   MATLAB/Simulink, AUTOSAR configuration tools, Vector CANoe, Python, OpenCV, TensorFlow.
5. **Which standards are covered in the DIYguru ADAS & AUTOSAR Training Program?**
   ISO 26262 (functional safety), ISO 21434 (cybersecurity), AUTOSAR Classic & Adaptive.
6. **Does the DIYguru ADAS & AUTOSAR Training Program teach AI/ML for ADAS?**
   Yes, it covers AI-driven perception pipelines with Python, OpenCV, TensorFlow.
7. **What is the duration of the DIYguru ADAS & AUTOSAR Training Program?**
   6 months with 200+ hours of guided learning.
8. **Does the DIYguru ADAS & AUTOSAR Training Program provide placement support?**
   Yes, via eMobility.careers job portal and hiring partners.
9. **What roles can I apply for after completing the DIYguru ADAS & AUTOSAR Training Program?**
   ADAS Engineer, AUTOSAR Software Engineer, Functional Safety Engineer, HIL Validation Engineer, AI Perception Engineer.
10. **What is the salary scope after completing the DIYguru ADAS & AUTOSAR Training Program?**
    ₹6-15 LPA in India; $60K-100K globally depending on role and experience.