- Program Highlights
The Advanced 6-month Nanodegree Program in Embedded Systems Design and Development provides an in-depth understanding of embedded systems, targeting domains like EV systems, IoT, power electronics, and AI integration. Covering everything from basic microcontroller programming to advanced topics like Embedded Linux, AI in embedded systems, and IoT solutions, this course ensures students are prepared for industry-level projects with hands-on experience and real-world applications.
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- Admission Closes on 1st Nov
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targeting arm CORTEX embedded
IN-HOUSE ARM BASED STM32
EMBEDDED DEVELOPED KIT
at your home!
Embedded C & DEVELOPMENT
Target entire embedded c & DEVELOPMENT PROCESS
15+
hands on
experiments
ARM
based embedded
developmenT
delivered
at your
doorstep
hil/sil
cover both
simulations &
hardware
5+
EV hardware
projects
60+
hours of hardware
live training
- Career Opportunities
- Embedded Systems Design and Development – Creating efficient and reliable embedded software and hardware systems for various applications.
- Automotive Embedded Systems (EV, ADAS, Infotainment) – Designing embedded solutions for electric vehicles, advanced driver-assistance systems, and infotainment.
- IoT Solutions Development – Developing smart, interconnected devices for smart homes, industrial IoT, and beyond.
- Power Electronics and Control Systems – Design and control of power conversion systems for energy-efficient devices.
- Smart Grid and Energy Management Systems – Developing embedded technologies to manage and optimize modern energy grids and renewable resources.
- Industrial Automation and Robotics – Creating embedded solutions for automated machinery, robotic control, and industrial process automation.
- Consumer Electronics and Home Automation – Designing embedded solutions for smart home devices, personal gadgets, and consumer electronics.
- Medical Devices and Wearable Technology – Developing life-saving medical devices and wearable technology for health monitoring.
- AI and ML in Embedded Systems – Integrating AI and ML algorithms in embedded devices for smarter decision-making.
- Cybersecurity for Embedded Systems – Securing embedded devices against cyber threats and ensuring data integrity.
- RTOS Integration – Integrating RTOS for time-critical applications that require precise task scheduling.
- Wireless Communication and Protocols – Implementing wireless protocols (Bluetooth, Zigbee, CAN, etc.) for reliable communication in embedded systems.
- Embedded Systems Engineer: Develop and maintain embedded systems for a variety of industries, including automotive, IoT, and electronics.
- Embedded Software Developer: Specialize in writing low-level software for microcontrollers and hardware devices.
- IoT Developer: Build Internet of Things (IoT) solutions and manage connected devices and systems.
- Firmware Engineer: Develop firmware for embedded devices, ensuring system stability and performance.
- EV Systems Developer: Design embedded systems for electric vehicle applications, such as battery management systems (BMS), motor controllers, and infotainment systems.
- Power Electronics Engineer: Design power converters, inverters, and other power electronics systems for EVs, renewable energy systems, and industrial automation.
- AI & Machine Learning Embedded Engineer: Integrate AI models and algorithms into embedded systems, focusing on edge computing and low-power systems.
- Embedded Linux Engineer: Work with Embedded Linux to develop complex systems for automotive, IoT, and industrial applications.
- RTOS Developer: Develop and maintain real-time operating systems for embedded applications in sectors like aerospace, defense, and medical devices.
- Embedded Systems Security Engineer: Implement and maintain secure systems in embedded environments, focusing on cryptography, secure boot, and firmware security.
- Robotics Engineer: Develop embedded solutions for industrial and consumer robotics, integrating sensors, actuators, and control systems.
- Consumer Electronics Developer: Build and maintain smart devices, home automation systems, and wearable technology.
- Microcontroller Programming: Proficiency in ARM Cortex, STM32, 8051, and Arduino.
- Embedded C, Linux, and RTOS: Strong understanding of embedded software development, real-time systems, and Linux for embedded systems.
- Power Electronics: Knowledge of converters, inverters, and battery management systems.
- IoT and Communication Protocols: Expertise in wireless protocols like Bluetooth, Zigbee, CAN, I2C, and UART.
- AI and Machine Learning: Ability to integrate AI models into embedded systems, focusing on edge computing and resource-constrained environments.
- Digital Electronics and Logic Design: Ability to design digital circuits using Boolean logic, gates, and advanced digital components.
- Embedded Security: Cryptography, secure boot processes, firmware updates, and securing embedded devices from cyber threats.
- Robotics and Automation: Experience in interfacing sensors, actuators, and designing control systems for robotics applications.
- Automotive Embedded Systems: Developing embedded solutions for ADAS, infotainment, motor controllers, and battery management systems.
- Embedded Linux Development: Proficiency in Embedded Linux for ARM platforms and advanced system design.
- Machine Learning on Embedded Devices: Ability to deploy machine learning models on embedded hardware, focusing on optimization for power and performance.
- Automotive & EV: Tata Elxsi, Mahindra Electric, Bosch, Ashok Leyland, L&T Technology Services, Hero Electric, Maruti Suzuki, TVS Motors.
- Consumer Electronics & IoT: Samsung India, Sony India, Havells, Godrej Appliances, Whirlpool, Xiaomi India, LG Electronics.
- IT and Consulting: Tata Consultancy Services (TCS), Infosys, HCL Technologies, Wipro, Accenture, Capgemini, Tech Mahindra.
- Industrial Automation & Robotics: ABB India, Siemens India, Honeywell, Rockwell Automation, Fanuc India, Larsen & Toubro.
- Medical Devices: GE Healthcare, Philips India, Medtronic, BPL Medical Technologies, Siemens Healthineers.
- Renewable Energy & Power Electronics: Sterling and Wilson, Schneider Electric India, ABB, Delta Electronics, Amara Raja, Exide Industries, Su-Kam Power Systems.
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- Program Outcomes
- Program Curriculum
Module 1: Introduction to Embedded Systems
- Module Description:
- Basics of embedded systems, components, and industry applications.
- Module Details:
- Overview of Embedded Systems.
- Applications in Various Industries.
- Components of Embedded Systems.
- Trends in Embedded Technology.
Module 2: Electronics Essentials for Embedded Systems
- Module Description:
- Detailed study of semiconductors, resistors, capacitors, diodes, transistors, and their role in embedded systems for EVs.
- Module Details:
- Introduction to Semiconductor Electronics: Basics of Semiconductors, P-N Junction Theory.
- Resistors, Capacitors, Inductors, Diodes in EVs: Passive Components, Diode Characteristics and Applications.
- Transistors, Switches, Relays, Transformers: Switching Characteristics, Power Control in Embedded Systems.
Module 3: Power Conversion Devices
- Module Description:
- Understanding rectifiers, inverters, buck-boost converters, and operational amplifiers for power electronics.
- Module Details:
- Rectifiers (Half-wave, Full-wave, Bridge): AC to DC Conversion, Efficiency Considerations.
- Inverters and Converters (Buck, Boost, Buck-Boost): DC-DC Conversion, Application in Power Supply Systems.
- Operational Amplifiers: Amplification, Filtering, Analog Signal Processing in Embedded Systems.
Module 4: Microcontrollers and Embedded C Programming
- Module Description:
- Hands-on programming with 8051, STM32, and ARM Cortex-M microcontrollers using embedded C language.
- Module Details:
- 8051, STM32, ARM Cortex-M Microcontrollers: Microcontroller Families, Architecture Comparison.
- Embedded C Basics and Programming: Control Structures, Functions, Interrupts.
- Interfacing and Code Optimization for Embedded Systems: GPIO, UART, SPI, I2C, Code Optimization Techniques for Low Power and Memory Efficiency.
Module 5: Embedded Systems with Arduino
- Module Description:
- Working with Arduino platform, interfacing sensors and actuators, and advanced project-based learning.
- Module Details:
- Arduino Platform and IDE Introduction: Arduino Boards, Arduino IDE Overview, Setup.
- Programming and Interfacing Sensors/Actuators with Arduino: Digital/Analog I/O, Sensor Interfacing, PWM for Actuators.
- Advanced Arduino Projects: Real-Time Monitoring, Automation Projects, IoT-Based Embedded Projects.
Module 6: ARM Cortex Microcontrollers
- Module Description:
- Learning the architecture, peripheral programming, and advanced system design using ARM Cortex-M.
- Module Details:
- ARM Cortex-M Architecture: ARM Processor Families, Registers, Instruction Set.
- Peripheral Programming and Configuration: Configuring Timers, ADC, GPIO, PWM.
- Embedded C for ARM Cortex: Advanced Coding Techniques, ARM-Specific Libraries.
- Advanced System Design: Low Power Modes, Peripheral Integration for Real-Time Applications.
Module 7: STM32CubeIDE and STM32 Microcontrollers
- Module Description:
- Working with STM32 microcontrollers and developing RTOS applications.
- Module Details:
- Introduction to STM32 Microcontrollers: STM32 Families, Performance Characteristics.
- STM32CubeIDE Development: Setting Up IDE, Writing and Debugging Code.
- RTOS Integration and Advanced Debugging: FreeRTOS, Task Scheduling, Debugging with JTAG/SWD, Trace Tools.
Module 8: Advanced Peripheral Interfaces and Protocols
- Module Description:
- Exploring UART, I2C, SPI, CAN Bus, and wireless protocols, including their applications in EVs.
- Module Details:
- UART, I2C, SPI, CAN Bus: Communication Protocols, Interface Design, Protocol Efficiency.
- Wireless Communication Protocols: Bluetooth, Zigbee, Wi-Fi for Embedded Systems.
- Advanced Peripheral Integration for EV Systems: Sensor Networks, Battery Management Communication, Motor Control Interfaces.
Module 9: Digital Electronics and Logic Design
- Module Description:
- Concepts of Boolean algebra, logic gates, and designing digital circuits for embedded systems.
- Module Details:
- Digital Electronics Basics: Boolean Algebra, Logic Families (TTL, CMOS).
- Number Systems, Boolean Algebra, and Logic Gates: Binary, Octal, Hexadecimal, Logic Gate Design.
- Logic Circuit Design for Embedded Systems: Karnaugh Maps, Combinational/Sequential Circuit Design.
Module 10: Control and Management Systems
- Module Description:
- Working with motor controllers, BMS, regenerative braking, thermal management, and control systems.
- Module Details:
- Motor Controllers and BMS: Types of Motor Controllers, Role of BMS in EVs, SOC/SOH Estimation.
- Electric Drive Unit (EDU): Motor Drive Electronics, Torque Control Algorithms.
- Regenerative Braking: Principles, Energy Recovery Mechanisms in EVs.
- Thermal Management Systems: Cooling Techniques, Heat Dissipation in Power Electronics.
Module 11: Embedded Linux for Embedded Systems
- Module Description:
- Setting up Embedded Linux, working with ARM platforms, developing real-time applications, and Linux-based systems.
- Module Details:
- Introduction to Embedded Linux: Embedded Linux Kernel, Embedded Linux vs RTOS.
- Setting Up Embedded Linux on ARM Platforms: Bootloaders, Cross-Compiling Kernels, Drivers.
- Real-Time Operating Systems (RTOS) with Linux: Real-Time Kernel Patches, RTOS Scheduling, Preemptive Multitasking.
- Applications in Linux: Embedded Linux in Networking, Multimedia, Automation.
Module 12: Advanced Power Systems
- Module Description:
- High-voltage systems, supercapacitors, power factor correction, and auxiliary power modules for EV applications.
- Module Details:
- HVDC and Power Factor Correction (PFC): High Voltage Direct Current Systems, Improving Power Quality in Embedded Systems.
- Auxiliary Power Modules: Design of Standby Power Modules, Battery Backup Systems.
- Supercapacitors for Power Systems: Supercapacitor Applications, Advantages in Power Systems.
Module 13: Embedded IoT Systems
- Module Description:
- Introduction to IoT, wireless communication protocols (Bluetooth, Zigbee, Wi-Fi), and IoT security architecture.
- Module Details:
- IoT in Embedded Systems: IoT Architectures, Sensor Networks, Edge Devices.
- Wireless Protocols (Bluetooth, Zigbee, Wi-Fi): Low Power Wireless Communication in Embedded Systems.
- IoT Architecture and Security in Embedded Systems: IoT Stack, Secure Communication, Data Encryption for Embedded Devices.
Module 14: Machine Learning and AI in Embedded Systems
- Module Description:
- Â Integrating AI and ML in embedded systems, working with AI accelerators, and use cases of AI in automotive and IoT.
- Module Details:
- Introduction to Machine Learning for Embedded Systems: Edge AI, Resource Constraints in Embedded Devices.
- AI Accelerators and Neural Networks: AI-Specific Hardware, Neural Network Models for Embedded Platforms.
- ML and AI Applications in Embedded Systems: Predictive Maintenance, Smart Sensors, Autonomous Systems.
Module 15: Advanced Security in Embedded Systems
- Module Description:
- Cryptography, secure boot, firmware updates, security threats, and countermeasures for embedded devices.
- Module Details:
- Cryptography for Embedded Systems: Symmetric/Asymmetric Cryptography, Secure Key Management.
- Secure Boot and Firmware Updates: Secure Bootloader, Code Signing, Over-the-Air (OTA) Updates.
- Security Threats and Countermeasures in Automotive/IoT Systems: Attack Vectors in IoT and Automotive Systems, Intrusion Detection.
Module 16: Capstone Project & Industry Collaboration
- Module Description:
- Â A final capstone project focused on integrating embedded systems in real-world industry applications (EV or IoT).
- Module Details:
- Industry-Linked Capstone Project (Embedded IoT or EV Systems): Real-World Problem Solving in IoT/EV Systems.
- Project Evaluation and Feedback: Peer and Mentor Evaluation, Industry Feedback.
Electives
- Elective 1: RISC-V Microprocessor Architecture
- Programming RISC-V Systems
- Real-Time Applications Using RISC-V
- Elective 2: Introduction to FPGA Design
- Implementing Digital Logic on FPGA
- High-Speed Interfaces and Applications
- Elective 3: Embedded AI Systems
- Low-Power AI Systems for Edge Computing
- Optimizing AI Models for Embedded Systems
- Elective 4: Automotive Embedded Systems
- Advanced Driver Assistance Systems (ADAS)
- In-Vehicle Networks (CAN, LIN, FlexRay)
- Skills Covered
Embedded C, Linux, and RTOS
Power Electronics
IoT and Communication Protocols
AI and Machine Learning
Digital Electronics and Logic Design
Embedded Security
Robotics and Automation
Automotive Embedded SystemsAutomotive Embedded Systems
Embedded Linux Development
Machine Learning on Embedded Devices
Microcontroller Programming
- Benefits
- Foundational Knowledge: Build a strong foundation in microcontroller programming, Embedded C, and essential electronics for embedded systems.
- Comprehensive Skill Set: Learn a wide range of technologies, from basic digital electronics to advanced AI and Embedded Linux, making you job-ready.
- Industry-Aligned Curriculum: Get exposed to technologies and tools currently used in the industry, such as STM32, ARM Cortex, Arduino, and real-time systems.
- Hands-On Experience: Engage in numerous projects, including the development of embedded systems for EVs, IoT solutions, and smart devices.
- Capstone Project: Work on a full-scale industry project that showcases your ability to integrate hardware and software in real-world applications.
- Job-Ready Skills: Learn all the relevant skills for securing roles in embedded systems, IoT development, automotive engineering, and consumer electronics.
- Competitive Advantage: Develop a versatile skill set that includes Embedded Linux, AI integration, and IoT systems, giving you an edge over other candidates.
- Exposure to Multiple Domains: Gain insights into various industries such as automotive, robotics, renewable energy, and consumer electronics.
- Skill Enhancement: Gain advanced expertise in cutting-edge technologies like Embedded Linux, AI, and Machine Learning in Embedded Systems.
- Industry Relevance: Stay updated with industry standards, including embedded systems for Electric Vehicles (EV), IoT, and Industrial Automation.
- Career Growth: Expand job prospects in high-demand areas such as Power Electronics, Automotive Embedded Systems, and Embedded AI.
- Advanced Project Work: Work on real-world industry projects that add value to your portfolio and improve hands-on experience.
- Upgrading Existing Knowledge: Deepen your understanding of microcontroller programming, Embedded C, and power systems, adding value to your current expertise.
- Professional Networking: Opportunities to collaborate with industry professionals during the Capstone Project and gain feedback from real-world applications.
- Leadership in Emerging Technologies: Learn about upcoming technologies such as RISC-V, ARM Cortex, and IoT systems that are revolutionizing the embedded systems domain.
- Design, develop, and program embedded systems for a wide range of applications, including EVs, IoT devices, and smart systems.
- Work proficiently with advanced microcontrollers (STM32, ARM Cortex, Arduino), Embedded C, and Linux.
- Integrate AI models, real-time systems, and secure embedded architectures into industrial applications.
- Implement power electronics solutions, including motor controllers, battery management systems, and energy-efficient power converters for automotive and renewable energy sectors.
- Design and deploy embedded systems for wireless IoT applications using communication protocols like Bluetooth, Zigbee, and CAN.
- Projects
Advanced Sensor Systems with Arduino
Design and implement sensor-based systems using Arduino to capture, process, and display real-time data for embedded applications.
Battery Monitoring System Development
Develop a system to monitor and manage battery health, performance, and safety parameters for embedded applications in electric vehicles.
CAN Bus and PWM Communication System
Build a communication system utilizing CAN bus and PWM signals for reliable data exchange in electric vehicle components.
Embedded Linux Project
Develop an embedded system using Linux for ARM platforms, covering kernel configuration, system integration, and application deployment.
Embedded IoT System with Wireless Protocols
Create an IoT-enabled embedded system utilizing Bluetooth, Zigbee, or Wi-Fi for secure and efficient device communication.
Capstone Project: Industry Collaboration
Work on an industry-oriented project to apply embedded systems knowledge in a real-world context, in collaboration with a partner company.
- Mode of Learning
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
- Tools Covered
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 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
Hardware Lab Attendees
Our Alumni: Shaping the Future of Innovation
The facilities at DIYguru, especially the testing equipment, were top-notch. Interacting with founders from other EV companies during sessions provided unique insights and added significant value to my educational journey.
Sunil Pareek
• Entrepreneur
The DIYguru course not only introduced me to the essentials of electric vehicles but also provided a highly supportive learning environment. The tutors were incredibly patient, always ready to explain complex concepts multiple times, which greatly enhanced my understanding and confidence
Ankit Kumar
• University Undergrad.
The training at DIYguru proved to be very useful, especially in my role as a deputy manager in R&D. The course provided me with insights that are directly applicable to my work in auto electrical systems, enhancing both my practical skills and theoretical knowledge.
Manoj Kumar
• Deputy Manager in R&D - Auto Ignition Ltd.
Dr. Gaurav Trivedi
Principal Investigator, IIT Guwahati
Chinmaya Chetan Biswal
BeepKart-2W | Spinny- 4W | Shuttl – EVs in Employee Logistics | MDI | TML
Dr. Bijaya Ketan Panigrahi
Professor, Department of Electrical Engineering, Founder Head, Centre for Automotive Research and Tribology (CART), IIT Delhi
Abhishek Dwivedi
Co-Founder EVeez
Arindam Lahiri
CEO of the Automotive Skills Development Council (ASDC)
Ms. Feroza Haque
Project Manager, EICT Academy, Indian Institute of Technology Guwahati
Ms. Pronamika Buragohain
Project Engineer at the E&ICT Academy, IIT Guwahati
Rahul Soni
Project Incharge – EVI Technologies
Jawaad Khan
CEO & Founder – Tadpole Projects
Prasad Kadam
Senior Technical Head – DIYguru COE Labs
Ankit Khatri
EIR – DIYguru | R&D Testing & validation Engineer at CREATARA | Ex- ICAT
Supratim Das
EIR – DIYguru | Hardware Generalist @ Google || Ex – Exponent Energy || Ex- Taqanal Energy || Ex- HCL Technology || E- Mobility, Energy Mentor
