6 Months Nanodegree Program

Nanodegree in ADAS & AUTOSAR for Advanced Automotive & EV Systems

Master the Intelligence Behind Modern Mobility — from Model-Based Design to AUTOSAR Integration. Gain industry-ready expertise in Advanced Modeling, ADAS, and Embedded Architecture to engineer the brains of next-generation Automotive & EV systems.

Trusted by over 120+ embedded companies worldwide

Program Highlights

We’ve got you covered throughout the Advanced Automotive Systems Software development lifecycle

From sensor perception to ECU integration — DIYguru’s ADAS & AUTOSAR Nanodegree equips you to design, simulate, and validate the intelligent systems powering autonomous and connected vehicles. Learn the tools and standards that define modern automotive software architecture.

Evolving from Mechanics to Software-Defined Vehicles

Trace the evolution from mechanical-centric vehicles to software-defined architectures (SDVs). Understand how electronics, sensors, and automation are transforming ECUs into networked computing platforms. Learn about system complexity, communication protocols, and integration challenges that define the modern automotive landscape.

Mastering AUTOSAR Architecture and Workflow

Gain in-depth knowledge of AUTOSAR Classic and Adaptive platforms, including Base Software (BSW), MCAL, RTE, and (SWCs). Work with ARXML configuration, develop components using DaVinci Configurator, EB Tresos, and perform RTE mapping and code generation. Build complete AUTOSAR-compliant software architecture project.

Designing Intelligent ADAS Systems through Simulation

Dive into ADAS design and simulation using MATLAB & Simulink. Work with camera, radar, LiDAR, and ultrasonic sensors, apply data fusion techniques, and implement lane detection and object tracking algorithms. Validate your algorithms through real-world simulations using MATLAB’s Automated Driving Toolbox and deliver a Lane Departure Warning System as your capstone project.

Structured learning paths for all professional level

Whether you’re an embedded engineer expanding into ADAS development or a software developer transitioning to automotive systems, this nanodegree offers modular learning paths — from SDV fundamentals and AUTOSAR integration to full ADAS project execution — enabling hands-on mastery at your own pace.

Continuous mentor and technical support

Get access to 1:1 mentorship, live project reviews, and code troubleshooting from experienced engineers in AUTOSAR and ADAS development. Our support team ensures your progress stays on track from your first simulation model to certification-ready software deployment.

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Embedded KITS

Embedded DIY Kits delivered. (Optional)

Optional for those who lack embedded and STM32 know how. To ensure that the firmware development learning goes alongwith the live classes, we deliver the kit at your doorstep.

Embedded ARM Cortex Based hardware development kit.

  • Receive a kit developed by DIYguru in collaboration with IIT Delhi, Tadpole Projects, and EVI Technologies.
  • Enhance your learning with practical, hands-on experience.
  • Tools included for building and testing EV components.
  • Program Outcomes

    Simulate, test, and optimize automotive software

    By the end of the ADAS & AUTOSAR Advanced Automotive Software Nanodegree, you will be able to:

    Design and implement AUTOSAR-compliant software architectures

    configure, develop, and integrate software components (SWCs), RTE, and BSW modules using industry tools like DaVinci Configurator and EB Tresos.

    Develop and validate ADAS algorithms

    design lane detection, object tracking, and path prediction systems using MATLAB & Simulink, integrating real-world sensor data (camera, radar, LiDAR, ultrasonic).

    Simulate, test, and optimize automotive software

    apply model-based design (MBD) workflows, run Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) tests, and analyze performance in MATLAB’s Automated Driving Toolbox.

    Understand and apply Software-Defined Vehicle (SDV) principles

    interpret system complexity, communication protocols (CAN, LIN, Ethernet), and ECU-level integration to build scalable, modular automotive software systems.

    Deliver industry-ready projects and documentation

    complete a capstone project on AUTOSAR architecture design and an ADAS simulation project, demonstrating practical readiness for roles at OEMs, Tier-1 suppliers, and tool vendors.

    Gain an industry-recognized certification and career advantage

    validate your expertise in automotive software engineering and enhance your career prospects with practical, project-based credentials recognized by leading OEMs and Tier-1 suppliers.

    Software Tools

    Engineer the Software Intelligence of Tomorrow’s Vehicles — from AUTOSAR Frameworks to ADAS Algorithms

    The ADAS & AUTOSAR Advanced Automotive Software Nanodegree by DIYguru equips engineers with end-to-end expertise in the design, simulation, and deployment of next-generation automotive software systems.

    LTSpice
    Circuit Simulation
    LTSpice

    LTSpice enables simulation of EV power circuits including converters, inverters, and BMS electronics, helping optimize circuit efficiency and transient performance.

    Explore
    Vector Tools
    Automotive Software Development & ECU Validation
    Vector Tools

    Vector’s AUTOSAR suite enables ECU software configuration, communication testing, and diagnostics under the AUTOSAR Classic and Adaptive platforms.

    Explore
    AUTOSAR Builder
    Automotive Software Architecture
    AUTOSAR Builder

    AUTOSAR Builder is used to design, configure, and validate ECU architectures following the AUTOSAR Classic/Adaptive standards for scalable, safety-compliant EV software systems.

    Explore
    STM32CubeIDE
    Embedded System Design
    STM32CubeIDE

    Develop firmware for STM32 microcontrollers—the core of modern EV ECUs. Learn driver programming, communication protocols, and real-time performance tuning.

    Explore
    MATLAB
    Data Analysis & Control Design
    MATLAB

    Use MATLAB for algorithm development, control logic simulation, and battery modeling. Apply analytical tools to design efficient EV powertrain and BMS systems.

    Explore
    Simulink
    Model-Based Design (MBD)
    Simulink

    Design, simulate, and validate EV control algorithms with Simulink, connecting block-level models to real-time embedded systems for testing and deployment.

    Explore
    QSS Toolbox
    System Simulation Tools
    QSS Toolbox

    Perform Quantized State System (QSS)-based simulations to analyze EV system dynamics, improve computation efficiency, and model real-time behavior under load.

    Explore
    Python
    Data Analytics & Simulation
    Python

    Python is used for EV data analysis, telemetry, and predictive modeling — enabling automation, fault detection, and simulation workflows for BMS and powertrain systems.

    Explore

    Learn interactively as they break down every detail, making complex Embedded concepts easy to understand and apply.

    Experience deep, immersive learning with DIYguru's expert instructors, who bring physical components from our state-of-the-art KITs from Labs directly to your screen.

    Curriculum

    Syllabus shaped by 120+ Companies

    Our DIY curriculum is designed to help automotive companies solve today’s biggest challenges.

    Electric Vehicle Essentials – Part 1: Industry Ecosystem & Battery Technology

    Gain a complete understanding of EV fundamentals — ecosystem, architecture, and component integration. Learn about vehicle electrification, charging infrastructure, battery systems, and global EV policies driving e-mobility.

    Learn more

    Electric Vehicle Essentials – Part 2: Motors, Electrification & Charging Systems

    Master numerical calculations, hybrid system design, and heavy-vehicle electrification. Understand EV safety, powertrain sizing, and high-voltage regulatory standards shaping advanced EV manufacturing.

    Learn more

    MATLAB-SIMULINK Certification Course for EV Design

    Learn to model, simulate, and analyze EV systems using MATLAB and Simulink. Gain practical skills in QSS and Advisor toolboxes for performance prediction and drive-cycle-based optimization.

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    Electric Vehicle Design and Simulations with Advanced MATLAB, SIMULINK & QSS

    Model advanced EV architectures with MATLAB, Simulink, and QSS. Conduct BMS modeling, energy analysis, and fault simulations for real-world performance testing.

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    AUTOSAR For EVs: Standards & Software Architecture

    Architecture, RTE, and software component development for automotive systems.

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    Advanced Driver Assistance Systems (ADAS) for EVs

    Develop and test driver-assistance systems through sensor fusion and ML-based modeling.

    Learn more

    English Communication for Engineers

    To help engineering students and professionals improve their spoken English, technical communication, and presentation confidence for interviews, meetings, and workplace interactions.

    Learn more

    Placement Readiness & Career Preparation

    To prepare students for technical and HR interviews, resume building, online assessments, and professional workplace readiness — specifically for roles in EV, Embedded Systems, and Engineering domains.

    Learn more

    Learning Track

    Key SKILLS DELIVERED

    Build cross-domain expertise in automotive software architecture, model-based design, and intelligent system simulation. Master the core technical skills that power modern ADAS, AUTOSAR, and Software-Defined Vehicle (SDV) development.

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    AUTOSAR Classic & Adaptive

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    ADAS Sensor Integration

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    Vehicle Communication Protocols

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    AI & Machine Learning for ADAS

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    Real-Time Operating Systems

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    Sensor & Actuator Integration

    View all skills

    Program Benifits

    Empower your automotive career with future-ready skills in AUTOSAR, ADAS, and Software-Defined Vehicles.

    Gain hands-on experience with industry-standard tools, real-world projects, and certifications that open doors to global roles in next-generation mobility engineering.

    • 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.
    Expert Team

    Mentors & Industry Experts behind this Program

    Our philosophy is simple — you get to have a team of diverse, passionate people who are willing to change the future of education in mobility industry and empowers you to do your best work.

    Team Image
    Arindam Lahiri
    CEO of the Automotive Skills Development Council (ASDC)
    Team Image
    Dr. Bijaya Ketan Panigrahi
    Professor, Department of Electrical Engineering, Founder Head, Centre for Automotive Research and Tribology (CART), IIT Delhi
    Team Image
    Ramesh BS
    Head of Academic Initiatives at Altair | Driving Academic Success | Member ASME steering committee – MEED | OC Member – SAE TIFAN, SAE Baja | Internal Quality Assurance cell (IQAC)
    Team Image
    Dr. Harpal Theti
    Executive Dean- Corporate Relations & Campus Placements across 30+ Schools & 200+ Courses
    Team Image
    Dr Sugumaran Permul
    CEO – JV Skills, DIYguru – Malaysia
    Team Image
    Anil Chhikara
    CEO – Bluebolt Electric | Chairman, Startup India Foundation
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    Abhishek Dwivedi
    Co-Founder EVeez
    Team Image
    Buddha Chandrasekhar
    Chief Coordinating Officer at AICTE, Ministry of Education, India
    Team Image
    Jawaad Khan
    CEO & Founder – Tadpole Projects
    Team Image
    Rahul Soni
    Project Incharge – EVI Technologies
    Team Image
    Chinmaya Chetan Biswal
    BeepKart-2W | Spinny- 4W | Shuttl – EVs in Employee Logistics | MDI | TML
    Team Image
    Ankit Khatri
    EIR – DIYguru | R&D Testing & validation Engineer at CREATARA | Ex- ICAT

    Certifications

    Certifications by Govt., Academia & Industry

    DIYguru certifications validate hands-on competence in Electric Vehicle technology and digital engineering. Each program blends project-based learning with industry standards, ensuring graduates demonstrate real-world skills aligned with OEMs and Tier-1 suppliers.

    Recognized by India’s Automotive Sector Skill Council

    DIYguru is recognized under ASDC, India’s sector skill council for the automotive industry, ensuring every certified learner meets national skill standards. The certification signifies employability in EV design, diagnostics, and service roles aligned with India’s automotive skilling framework.

    Approved under the AICTE NEAT 3.0 Initiative

    DIYguru programs are listed on AICTE’s National Educational Alliance for Technology (NEAT 3.0), a Government of India initiative that recognizes quality ed-tech platforms driving employability in emerging technologies.

    Co-Certified by EICT - IIT Guwahati for Academic Excellence

    DIYguru’s flagship Postgraduate Certification in Electric Vehicle Technology is co-certified by EICT - IIT Guwahati, ensuring every module meets the academic rigor and innovation standards of one of India’s premier engineering institutions.

    Industry Certification by iGETiT - Tata Technologies

    DIYguru’s EV programs are officially reviewed and certified by Tata Technologies, a global leader in product engineering and digital transformation for OEMs and Tier-1 suppliers.

    Eligibility Criteria

    The DIYguru Post Graduate Program in Electric Vehicle Technology is designed for learners who want to transform their technical foundation into a career in E-Mobility, EV Design, and Advanced Automotive Engineering.

    Engineering graduates (B.E / B.Tech / M.E / M.Tech)
    From disciplines such as: Electrical Engineering Electronics & Communication Mechanical / Automobile Engineering Mechatronics / Instrumentation / Power Electronics
    Apply now
    Working Professionals (I)
    Professionals currently employed in automotive, energy, manufacturing, or R&D sectors who wish to transition into the EV domain.
    Apply now
    Working Professionals (II)
    Suitable for engineers working in design, testing, software, embedded systems, or maintenance roles seeking specialization in electric mobility.
    Apply now
    Science graduates (B.Sc / M.Sc)
    With strong technical background and interest in EV systems.
    Apply now
    Diploma holders
    (with relevant experience) may also apply under lateral entry.
    Apply now
    Final-Year Students
    Final-year engineering or M.Sc students can enroll provisionally and receive certification post degree completion.
    Apply now
    International Applicants
    Open to international learners holding equivalent qualifications in engineering or applied sciences (with English proficiency).
    Apply now

    Admission Process

    Journey

    Your career guaranteed by
    emobility.careers

    emobility.careers is DIYguru’s exclusive placement engine — connecting Nanodegree Program students with top recruiters in the EV and e-mobility ecosystem, ensuring every learner moves from classroom to career with confidence.

    Know where you stand before you apply

    Get a skill-readiness score based on your course performance, projects, and industry assessments. This helps you understand your strengths and bridge gaps before you face interviews.

    Turn your learning into a hiring advantage

    Your DIYguru projects, certifications, and test scores are automatically integrated into a verified digital profile. Employers can see your technical depth and practical work at a glance.

    Manage every opportunity in one place

    Track your applications with EV companies, schedule interviews, and receive updates — all within a single dashboard. No lost emails, no missed chances.

    Trusted by employers, designed for you

    Every student profile is pre-validated and recommended only to matched roles, ensuring companies hire confidently and you stand out from the crowd.

    emobility.careers is trusted and used by over 110+ future mobility companies

    Career Opportunities

    According to McKinsey & Company, the global automotive software market is expected to reach US $462 billion by 2030.

    By completing industry-oriented projects — AUTOSAR-compliant architecture development and ADAS lane-departure warning simulation — participants graduate job-ready for roles in OEMs, Tier-1 suppliers, and automotive software R&D.

    • 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

    What recruiters are saying

    Brand Brand

    "DIYguru trained our teams at Bosch in 2019, right at the start of EV adoption in India, delivering far above our expectations. Since then, they have remained a trusted partner, supporting our employees with both LMS access and in-person training across EV domains."

    Shashi Kumar R
    Lead – Technical Competence Development, L & D Digitalization
    Brand Brand

    "DIYguru graduates come with a hands-on understanding of EV systems — not just theoretical knowledge. They’re able to contribute from day one to our battery testing and pack assembly operations."

    Sandeep Nair
    Recruitment Lead
    Brand Brand

    “We’ve been consistently impressed by DIYguru-trained engineers. Their grasp on battery design, EV service, repair and diagnostics helps us accelerate product deployment and reduce production time.”

    Anjali Mehra
    Head of Talent Acquisition
    Brand Brand

    “What stands out is DIYguru’s focus on simulation and hardware validation. The engineers we’ve hired adapt quickly to startup environments — confident with MATLAB, ANSYS, and embedded toolchains.” Rajat Kapoor

    Rajat Kapoor
    HR Business Partner (Engineering)
    Brand Brand

    “The EV industry needs engineers who can think both technically and systemically — DIYguru graduates bring that balance. Their familiarity with powertrain integration and BMS testing has been a real asset.”

    Priya Deshmukh
    Learning & Development Manager
    Brand Brand

    “DIYguru’s placement ecosystem delivers candidates who understand the complete EV lifecycle — from design and validation to service diagnostics. That readiness is what the industry truly needs right now.”

    Kavita Sharma
    HR Operations & Employee Relations Manager
    Brand Brand

    “The engineers we’ve recruited from DIYguru demonstrate excellent command over EV design tools, motor controllers, and safety protocols. Their practical exposure sets them apart from regular graduates.”

    Vikram Singh
    Head HR
    Learners Transformation

    Success Stories

    "At Infineon, my focus is on advancing power electronics for electric mobility. The training I undertook at DIYguru deepened my understanding of system-level applications and gave me frameworks I could directly connect to our innovation work."

    Souvik Hazra
    Senior Manager at Infineon Technologies

    "The EV program at DIYguru strengthened my knowledge of control systems and their application in electric powertrains. It has been directly beneficial to my role at Cummins in advancing EV solutions."

    Sharad Yeola
    Application Controls Lead Cummins Inc.

    "The EV Controls modules at DIYguru gave me clarity on inverter–motor interaction, torque control, and drive cycle efficiency. The structured projects mirrored real automotive use cases, which I could directly relate to my work at General Motors."

    Mokarram Iqbal
    Propulsion Controls at General Motors

    "DIYguru’s EV program provided me with a clear understanding of emerging technologies and industry trends. It has been instrumental in shaping my research and strategy work at Suzuki in the electric mobility space."

    Mrinal Kumar
    Strategy Consultant & Research at Suzuki Motor Corporation

    "In my work on EV battery management systems at Mercedes-Benz, I needed both depth in cell balancing strategies and clarity on integration concepts. The training at DIYguru addressed these areas with precision, adding real value to my R&D responsibilities."

    Jagatjit Barik
    Senior Research & Development Engineer- BMS (xEV) at Mercedes-Benz

    "Working on electrified platforms in construction and forestry equipment demands clarity on high-voltage safety, diagnostics, and drivetrain integration. The training at DIYguru helped me bridge the gap between conventional machinery and emerging EV systems, aligning directly with John Deere’s move into hybrid and electric solutions."

    Washid Ali
    Technical Information Specialist - Construction and Forestry Division- John Deere India Private Limited

    "Working on EV integration projects at Hydro One required a solid understanding of charging infrastructure, grid load balancing, and V2G systems. The training I took from DIYguru bridged these areas with practical case studies, making it easier to translate concepts into real project execution."

    Hashir Sher
    Project Manager at Hydro One

    "The EV Powertrain Integration Program at DIYguru provided me with deep insights into system-level design and practical integration. It has been highly valuable for my work in new product development at Exide"

    Yash Anjne
    Sr. Engineer - NPD at Exide Energy Solutions Ltd.

    "The Solar Integrated EV program at DIYguru gave me a strong foundation in combining renewable energy with electric mobility. The concepts and practical insights have been directly useful in my engineering role at L&T Defence."

    Raghavendra Mogaveera
    Electrical Engineer at L&T Defence
    Learners Transformation

    Don't just take our words for it!

    "DIYguru transformed my career in just six months. Their comprehensive EV & Embedded Systems Nano degree equipped me with essential skills, leading to a prestigious job at Sandip University.
    I’m grateful for the life-changing education and support."

    Chandan Kumar Karn
    Head of eMobility Division - Sandip University

    "I have been a student of DIYguru PG Program of EV Technology and DIYguru has helped me in transforming my journey, consistently exceed my expectations.
    Pretty good experience at hardware-enabled workshop because as a mechanical engineer, we understood the electrical part very easily."

    Satyam Pandey
    Engineer at Bearing India Pvt. Ltd

    "The knowledge and support I received from DIYguru have been invaluable. They have a deep understanding of EV and have helped me navigate complex career path with ease.
    Overall DIYguru training program is very good initiative to developed better practice understanding."

    Deepak Sharma
    Head of Mobiity Division at CSJM

    Case Study

    Case Studies: Why Organizations Trust in DIYguru.

    Why DIYguru EV Programs Stand Out
    A modern, feature-rich learning path — benchmarked against generic e-learning providers.
    Partner-verified curriculum ASDC • NEAT • IIT • TATA eMobility.careers placement support Multi-location EV labs
    Feature / USP DIYguru Other Platforms
    Industry-aligned curriculum Partner-backed
    Designed with real EV workforce upskilling at Hyundai, Bosch, L&T, Daimler, Sonalika, John Deere & Eaton. (See Case Studies section)
    Verified with partners Varies; often generic
    Hands-on labs & workshops with 3 Weeks access to 4-Wheeler Hardware & Diagnostic Labs (ev.care)
    Access available in Delhi • Pune • Malaysia • Saudi Arabia • Germany.
    Real hardware rigs Limited simulators
    Placement engine & employer network with access to eMobility.careers dedicated job portal
    Portfolio, interview prep, role mapping, referrals with exclusive, EV-focused listings with role-skill mapping and recruiter access.
    EV-specific portal Generic boards
    Option to choose from Government & industry certification pathways
    ASDC (Govt. of India) • NEAT AICTE (Ministry of Education) • IIT (Jammu/Guwahati) • TATA Technologies.
    Multiple pathways Limited/none
    Hybrid learning (Live + Self-paced + Hands on + Mentor hours from IITs & TATA Technologies) Structured pathway Video-only often
    Certification tracks (M.Tech. > PG > Nano > Micro-credentials) Multiple levels Single level
    Employer-ready portfolio, english communication classes & viva prep
    Templates, rubrics, code review, mock interviews day.
    Included Occasional
    Embedded kit delivery to your doorstep with Capstone on real EV datasets
    20+ guided experiments on batteries, chargers, sensing, and control.
    20+ experiments included Limited kits
    Corporate collaboration & real tools exposure through Mentor feedback loops & doubt clearing session with instant support through whatsapp groups one to one Community only
    Support for working professionals (weekend cohorts, bridge modules)with outcome mapping: role-based skill tracks (BMS, Motor, EVSE, Thermal, Data) Structured Irregular
    Ethics, safety & compliance embedded (ISO 26262, HV safety, AIS/BIS awareness) Integrated Minimal
    Transparent skill diagnostics & KPIs with outcomes (projects → roles → salaries) Mapped Rare

    Note: “Other Platforms” is a generalized comparison. Actual availability may differ per provider.

    Frequently Asked Questions - FAQs

    • What is the DIYguru Embedded Systems Nanodegree Program?

      The DIYguru Embedded Systems Nanodegree is a specialized 6-month industry-driven program designed to provide hands-on experience in microcontrollers, firmware development, embedded C programming, communication protocols (CAN, I2C, SPI), and real-world project integration for automotive and EV applications.

    • Who is eligible to apply for this Nanodegree?

      The program is open to engineering students, graduates, and professionals from Electronics, Electrical, Instrumentation, or Computer Science backgrounds who wish to upskill in embedded system design and applications in the EV sector.

    • What certification will I receive after completing the program?

      Upon completion, you’ll receive a DIYguru Nanodegree Certificate co-branded with industry partners like Tata Technologies & IITs depending on the addon certification, validating your practical skills and readiness for embedded system and EV roles.

    • What is the duration and structure of the Embedded Systems Nanodegree?

      The course runs for 6 months and follows a structured learning path with live instructor-led sessions, self-paced video modules, weekly quizzes, and capstone projects focusing on STM32 microcontrollers and automotive-grade applications.

    • What topics and tools are covered in this program?

      You’ll learn: Embedded C programming following MISRA standards ARM Cortex-M architecture Communication interfaces: CAN, SPI, I2C, UART RTOS basics and task scheduling STM32 development & debugging Integration with sensors and actuators Battery Management System (BMS) interface fundamentals

    • Is there a hands-on or lab component in this Nanodegree?

      Yes. Every module includes hardware-based labs and simulations using STM32 boards and diagnostic tools. Learners also complete a capstone project integrating sensors and communication protocols into a real-world embedded application.

    • Does the program include placement or career support?

      Absolutely. DIYguru provides placement assistance, career mentorship, and interview preparation. Students are also matched with hiring partners in the EV and embedded systems domains through DIYguru’s placement cell.

    • What are the career opportunities after completing the Embedded Nanodegree?

      Graduates can pursue roles such as: Embedded Systems Engineer Firmware Developer Automotive Embedded Engineer EV Systems Integrator IoT Hardware Engineer You’ll be job-ready for positions in automotive, robotics, and IoT industries.

    • Can working professionals enroll part-time?

      Yes. The Nanodegree is designed for flexibility with weekend live classes and self-paced recordings, making it ideal for working professionals looking to transition or upskill in embedded systems and automotive electronics.

    Still have questions?

    Can’t find the answer you’re looking for?
    Please chat to our friendly team.

    Solutions

    End-to-End seamless data management solutions

    Offers a unified platform that fosters innovation while providing end-to-end data management.

    Fast and Reliable

    Whether you have a team of 2 or 200, our shared team inboxes keep everyone on the same page and in the loop.

    Discover Data Everywhere

    Whether you have a team of 2 or 200, our shared team inboxes keep everyone on the same page and in the loop.

    Enrich Data with Context

    Whether you have a team of 2 or 200, our shared team inboxes keep everyone on the same page and in the loop.

    Risk Management

    Whether you have a team of 2 or 200, our shared team inboxes keep everyone on the same page and in the loop.

    Privacy Compliance

    Whether you have a team of 2 or 200, our shared team inboxes keep everyone on the same page and in the loop.

    Third-Party Management

    Whether you have a team of 2 or 200, our shared team inboxes keep everyone on the same page and in the loop.

    • 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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
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