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.