PG Diploma in Embedded & Automotive Systems

100% Placement Opportunities Assured with Globally Accepted Certification

Duration: 6 Months
Eligibility: BE, B.Tech, ME, M.Tech

The AD/ PG Diploma in Embedded & Automotive Systems is a comprehensive, industry-aligned, job-oriented program designed for Engineering Graduates And Final Year Students  who aspire to build successful careers in Embedded Systems, Automotive Software Development, and Core Engineering domains.

This program bridges the gap between academic learning and industry requirements by delivering strong programming fundamentals, hands-on hardware expertise, real-time system development skills, and automotive domain specialization.

Program Outline

Core Programming Fundamentals
  • Mastering C Programming following MISRA-C Guidelines
  • DSA for Problem Solving in C
  • Capstone Project – Programming
Electronics & Hardware
  • Electronics and Hardware Familiarization
Embedded Systems Programming
  • ARM Cortex-M Architecture & Embedded C
  • Embedded Protocols & Driver Development
  • Mastering OOP using C++
  • Linux System Programming using C
  • Capstone Project – Hardware

Embedded Automotive Foundation

  • Automotive Programming & AUTOSAR Foundation
  • Embedded RTOS (FreeRTOS) Firmware
  • Embedded AI & Edge Intelligence – Self Study

Tools / Software / Hardware

  • Ubuntu Linux (GCC compiler)
  • Windows Subsystem for Linux (WSL)
  • Code::Blocks, Visual Studio Code, Dev-C++
  • Keil µVision IDE, Flash Magic
  • MATLAB and Simulink
  • ARM Cortex-M3 (LPC1768 development board)
  • FreeRTOS

Capstone Projects

  • C, C++, and DSA programming projects with competitive coding
  • Linux system programming projects
  • Embedded system development using LPC1768 with peripheral drivers
  • Real-time multitasking applications using FreeRTOS
  • MATLAB & Simulink-based automotive control projects

Industry Job Roles

  • Embedded Systems Engineer
  • Embedded Software Engineer
  • Automotive Software Engineer
  • AUTOSAR Engineer
  • Embedded Linux Engineer
  • Device Driver Engineer
  • RTOS Engineer
  • Edge AI / Embedded AI Engineer
  • IoT & Smart Systems Engineer
  • Graduate Engineer Trainee (GET)
Module 1 • Mastering C Programming following MISRA-C Guidelines 80 hrs.

Key Skills: Program structure · Arrays · Functions · Searching & Sorting · MISRA-C standards

Introduction to C: simple C program structure, literals, constants, variables Operators with precedence and associativity Control flow statements with examples
Modular programming using functions Numeric arrays: 1D and 2D arrays Character arrays and string functions
Searching algorithms Sorting algorithms Problem-solving using HackerRank
Learner Outcome: Develop structured C programs using core language features and solve logical problems using arrays, functions, and algorithms.
Module 2 • DSA for Problem Solving in C 80 hrs.

Key Skills: Complexity analysis · Pointers · Structures · Linked Lists · Stacks & Queues · File I/O

Time and space complexity Utopian Tree Viral Advertising
Birthday Cake Candles Migratory Birds Kaprekar Number
Pangram string and anagram string Palindrome Index Array Rotation
Pointers: declaration, initialization, types, pointer to pointers Structures: definition, structure variable, member access, nested structures Introduction to data structures: stacks, queues, linked list
Dynamic memory allocation Static stack and dynamic stack Static queue and dynamic queue
Circular queue Linked list: singly linked list Doubly linked list
File handling using C Text and binary files Problem-solving using HackerRank
Learner Outcome: Analyze time and space complexity and implement data structures and algorithms to solve competitive programming problems.
Capstone Project • Capstone: Project – Programming · 20 hrs · Application development using C, Data Structures, and competitive coding
★ CERTIFICATION MILESTONE · Certification in Programming
Module 3 • Electronics and Hardware Familiarization Self Study

Key Skills: Analog circuits · Digital logic · Embedded architecture · Schematics & Datasheets

Analog electronics: passive and active components Circuit analysis using KCL and KVL Diode, transistor, and op-amp circuits
Digital electronics: combinational circuits — adders, multiplexers, encoders, decoders Sequential circuits: flip-flops, registers, counters Microprocessors and microcontroller architecture
Basic embedded system architecture Standard interfaces overview Understanding schematics and datasheets
Learner Outcome: Understand basic analog and digital electronics, embedded system architecture, and interpret hardware schematics and datasheets.
Module 4 • ARM Cortex-M Architecture & Embedded C Programming (LPC1768) 60hrs

Key Skills: Cross-compiler toolchain · Register-level programming · GPIO · ADC · Timers · Debugging

Cross compilers: arm-none-eabi-gcc, armclang; toolchain (gcc, as, ld, gdb) Conditional compiler directives in embedded software Const, volatile qualifier and their use in embedded systems
Bit-wise operators in low-level programming Structure padding and bitfields Function pointers
Makefile and building an executable Startup code, linker script and their use Object file and map file
Debugging and tracing Coding standards for secure and safe coding ARM Cortex-M3 architecture & LPC1768 overview
GPIO registers and GPIO programming: LED programming Buzzer, switch, and IO device programming: 16x2 LCD 4x4 matrix keypad interfacing and programming
ADC programming: LM35 temperature sensor interfacing Timer peripheral programming
Learner Outcome: Develop and debug embedded firmware for ARM Cortex-M microcontrollers and interface on-chip peripherals.
Module 5 • Embedded Protocols & Peripheral Driver Development 60 hrs

Key Skills: PWM · RTC · WDT · PLL · NVIC · UART · SPI · SSP · I2C

PWM peripheral programming RTC (Real-Time Clock) Watchdog Timer (WDT)
PLL (Phase-Locked Loop) & clock configuration NVIC (Nested Vectored Interrupt Controller) & interrupt handling UART (Universal Asynchronous Receiver Transmitter) communication
SPI (Serial Peripheral Interface) communication SSP (Synchronous Serial Peripheral) communication I2C (Inter-Integrated Circuit) communication
Learner Outcome: Implement peripheral drivers and communication protocols for real-time embedded systems.
Assessment: Module Test (MCQ & Theory) · Technical Mock · Driver Development Assignment
Mini Project • Development of a multi-peripheral driver suite for ARM Cortex-M microcontrollers
Module 6 • Mastering OOP and Data Structures using C++ 80 hrs

Key Skills: Classes & Objects · Inheritance · Polymorphism · STL · Smart Pointers · Templates

Basic input/output: cin, cout, >> and << operators, endl, setw Understanding namespace and introduction to OOP Classes and objects, encapsulation, data hiding, abstraction
Access specifiers – private and protected, this pointer Constructors and destructors Friend functions and operator overloading
Inheritance Run-time polymorphism Exception handling
Lambda expressions Smart pointers Templates
STL algorithms STL container classes Iterators
Learner Outcome: Design modular and reusable applications using object-oriented principles, STL, and modern C++ features.
Assessment: Module Test (MCQ & Theory) · Coding Challenge · Technical Mock
Module 7 • Linux System Programming using C 40 hrs.

Key Skills: Shell commands · Bash scripting · System calls · IPC · Multithreading · Mutex

Linux shell commands Manipulating files and directories Manipulating data
Find and grep Variables in Bash scripting Control statements in Bash
File-related system calls Process management Signals
IPC – pipes, message queue, shared memory Multithreading Handling race conditions using Mutex
Learner Outcome: Build system-level applications using Linux system calls, IPC mechanisms, and multithreading concepts.
Capstone Project • Capstone Project – Hardware • 20 hrs • Embedded system development with LPC1768, peripheral drivers, multi-peripheral integration
CERTIFICATION MILESTONE · Diploma in Embedded Programming
EMBEDDED AUTOMOTIVE FOUNDATION
Module 8 • Automotive Programming & AUTOSAR Foundation 40 hrs

Key Skills: MATLAB · Simulink · MBD · AUTOSAR BSW · ECU control logic · Code generation

Introduction to MATLAB and Simulink Data types, addressing techniques, linear equations Creating and manipulating matrices
Data visualization: 2D and 3D plots Digital image processing Programming in MATLAB
Graphical User Interface (GUI) Logic-driven modeling Finite state machines
Introduction to Simscape Build and simulate a DC motor control system Model a basic software (BSW) component using Simulink + Embedded Coder
Model-Based Design for ECUs: control logic modeling Automatic code generation
Learner Outcome: Model, simulate, and auto-generate embedded control software using MATLAB, Simulink, and AUTOSAR concepts.
Module 9 • Embedded RTOS – FreeRTOS Firmware Programming 20 hrs

Key Skills: FreeRTOS tasks · Scheduling · Queues · Semaphores · ISR management · Memory management

Overview of FreeRTOS: features and source code organization RTOS concepts: hard real-time vs soft real-time Multithreading, multitasking, concurrent execution
Scheduling and context switching Memory management: heap vs stack, program memory vs data memory FreeRTOS heap memory management and allocation chemes
FreeRTOS tasks APIs: creating tasks, task priorities, task state transitions Scheduler algorithms, tick interrupt, idle task Inter-task communication: FreeRTOS Queue APIs
Blocking read/write, receiving from multiple queues, mailbox Interrupt management: events and ISRs, tasks vs ISRs Semaphores: binary and counting semaphores
Resource management: shared resources and mutual exclusion
Learner Outcome: Design real-time multitasking embedded applications using FreeRTOS scheduling, queues, semaphores, and synchronization mechanisms.
Assessment: Modules Test (Assignment, MCQ, Theory & Lab) · Technical Mock.
Module 10 • Embedded AI & Edge Intelligence Self-Study

Key Skills: TinyML · Edge AI · Sensor data acquisition · TensorFlow Lite · Model deployment

Introduction to TinyML & Edge AI: Edge AI vs Cloud AI, embedded AI use cases Sensor data acquisition: real-time collection and visualization (Serial Plotter) Feature extraction techniques: Python/MATLAB-based feature extraction from sensor data
Intro to ML for microcontrollers: classification, regression, training, testing TinyML model optimization: quantize and test using TensorFlow Lite AI model deployment on microcontrollers
Learner Outcome: Understand and deploy lightweight AI models on microcontrollers using TinyML and TensorFlow Lite for real-time edge inference.
Capstone Project • Capstone Project – Automotive & AI • MATLAB/Simulink-based automotive control projects with embedded deployment
CERTIFICATION MILESTONE · PG Diploma in Embedded & Automotive Systems with AI

FAQs

The course is designed for:

  • Engineering graduates in Electronics, Electrical, Circuit Branches, etc.
  • Working professionals seeking to enhance their skills in embedded systems

While not mandatory, a basic understanding of C programming is beneficial. The course covers programming fundamentals to ensure all participants can grasp the concepts effectively.

The program includes comprehensive modules on:

  • Embedded C Programming
  • Data Structures
  • ARM Cortex-M Microcontroller Programming
  • RTOS (Real-Time Operating Systems)
  • Automotive Communication Protocols (CAN, LIN)
  • MATLAB/Simulink for Embedded Systems
  • IoT Integration
  • PCB Design and Simulation
  • Embedded Linux

Students gain practical experience with industry-standard tools, including:

  • Keil uVision
  • Proteus
  • MATLAB/Simulink
  • ModelSim
  • Arduino IDE
  • Raspberry Pi
  • Embedded Linux Development Tools

Yes, Cranes Varsity offers live instructor-led online sessions, allowing flexibility for remote learning.

Upon successful completion, students receive a Postgraduate Diploma Certificate from Cranes Varsity. Additionally, students enrolled in the Embedded and Automotive program can apply for NASSCOM certification after clearing the IT-ITeS SSC examination.

Yes, Cranes Varsity offers 100% job assistance, leveraging partnerships with over 500 hiring companies. Placement support includes:

  • Resume preparation
  • Mock interviews
  • Access to job opportunities in embedded systems and related fields

To ensure personalized attention and effective learning, the batch size is limited to 30 students.

The exact fee details are not publicly listed. For information on course fees and available scholarships, please contact Cranes Varsity directly.

Cranes Varsity offers a Scholarship Test. For eligibility criteria, test dates, and details on fee waivers, please reach out to their admissions team.

  • Online: Fill out the application form on the official website, and a dedicated admission counselor will contact you.
  • Offline: Visit the Cranes Varsity campus for direct inquiries and enrollment assistance.

Graduates can explore various roles, such as:

  • Embedded Systems Engineer
  • Firmware Developer
  • Automotive Systems Engineer
  • IoT Solutions Architect
  • Embedded Software Developer
  • RTOS Developer

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