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Embedded AI & IoT
Software Developer

Embedded AI & IoT Software Developer
Next Batch: 13 October 2025
Offline Scholarship Entrance Test
Date: 11 October 2025
Course Duration
6 Months
Batch Type
Offline Mode
Fee: 74,500 /-

Freshers

What is Industrial Embedded Systems?

Most of the institutes, who claim to be Embedded Training institutes, provide training on Educational boards like Arduino and Raspberry Pi.
Whereas the actual Industry never uses these educational boards for real product development.
Because of this difference, there will be a huge GAP between the candidate’s knowledge and the Industry requirement.
KERNEL MASTERS fills this GAP by providing the Industrial Embedded AI hardware boards (STM32, ARM Cortex M4) for training, where the student gets to learn everything from scratch, which helps the companies to deploy the students to the core parts of their projects without any extra training.

Hardware Details:

Kernel Masters has designed and developed Industrial Hardware boards in collaboration with Embedded Core Companies.
These Hardware boards will be used as part of the course for real-time project.
Students need to purchase the board at the time of project. Hardware Cost not included in course fees.

  • Total estimated cost of hardware kit for Embedded C project will be 4800/- + GST + Shipping.
  • The kit comes with below components:
    • STMicroelectronics based RaayanMini Board (For Embedded C and RTOS)
    • ST Link V2 Debugger
    • ESP32 Wi-Fi Module
    • USB TO UART TTL 5V 3.3V CH340G module
Embedded AI Development Board

Course Layout

  • This training consists of 30% Theory and 70% practicals.
  • This course will be delivered in a Blended mode.
  • Regular Assignments will be assigned and verified through customised gitlab Learning Management system
  • Assessments & LAB Vivas are conducted for each topic, on weekends.
  • Online LAB Support is provided through Learning Management System & through one-one online meetings where issues can be verified and resolved.
  • Embedded C project will be conducted using STM32 based Raayanmini Hardware kit. We do not use Simulators for project.
  • Hardware boards will be sent to the candidate’s house before project commencement.
  • The quality of online training will be maintained similar to Offline training with the same amount of practical handson.
  • We have limited seats to facilitate individual focus to maintain quality of content.

Industrial Oriented Training [with Embedded latest trends AI/ML/IoT]:

  • The course is classified into 2 parts: 1st three months of conceptual training & 2nd three months of Internship.
  • First half of the course will focus on Programming concepts & Embedded Basics.
  • Second half of the course will focus on applying the skillset obtained in first half, in real-time Industry.
  • Second half of the course(Internship) will include Placement Assistance program.
  • Students will be given projects in one of the below areas during the Industrial Training:
    – Artificial Intelligence
    – Machine Learning
    – Internet of Things

Admission Process:

  • What is the admission process for freshers?
    • Before joining any regular training batch, we recommend all freshers to attend a 3-day offline workshop at Kernel Masters which is FREE.
    • This workshop introduces key concepts in Embedded AI & IoT that are essential for beginners.
  • Why is the 3-day workshop mandatory?
    • Many freshers come with little or no background in embedded systems.
    • This workshop is designed to teach the basics and help you gain hands-on exposure to what you’ll learn in our full-time courses.
  • Is there a test after the workshop?
    • Yes. After the workshop, we conduct an Offline Scholarship Test to assess your understanding of the topics covered.
  • When is the scholarship test conducted?
    • 🗓️ Date: The test is usually held the day after the workshop ends.
    • 🕘 Time: 9:00 AM
  • What is the syllabus for the test?
    • The test will be based only on the topics taught during the 3-day workshop.
    • 📚 No external preparation is needed, and no prior experience is expected.
  • What’s the benefit of the test?
    • Your performance in the test will determine your ELIGIBILITY FOR DISCOUNTS OR SCHOLARSHIPS on our regular training programs.
  • Why offline and not online?
    • We believe in fair assessment.
    • Offline tests prevent copying and allow us to genuinely identify merit-based students—not just good Googlers.
  • What should I do next?
    • Register Now for the 3-Day Workshop (online or by visiting our campus).

    • Attend all 3 days of the workshop to learn the basics and understand the full training roadmap.

Note:
  • Both the workshop and the scholarship test are completely free.
  • There are no registration or hidden charges — just show up with interest and sincerity!

Placements:

  • There will be guaranteed placement opportunities from our campus, once after completion of 5 months of course.
  • Placement support will be provided till placement or upto one year after course completion whichever is earlier.
  • No limit on number of companies.

Embedded AI & IoT Detailed Syllabus

Part 1: Programming Concepts
PART 1
Programming Concepts

How Linux builtCommand Documentation
Linux HistoryText Editors
Linux Kernel FeaturesTypes of Shells, bash
Linux CommandsUsers and Permissions
Linux LicenceStandard IO
Linux Root Filesystem HierarchyRedirections and Pipes

Elements in ‘C’Stack Frame
Variables and Data TypesFunctions
Operators & expressionsArrays
Conditional StatementsStrings
LoopsPointers
Memory Layout of C programPre-processor Directives
Storage classesERROR handling

Pointer arithmeticDynamic Memory Allocation
Advanced pointersStructures
Strings and arrays with pointersUnions
Function pointersEnumerations
Array pointersBit fields
Command Line ArgumentsFile Handling
Recursive FunctionsMixing Assembly and C

GNU C Compiler stages
GNU Debugger
GNU Makefile
GNU binutils
GNU Build system

Introduction to DS
Types of Data Structures
Stacks, Queues
Single Linked Lists
Double Linked Lists
Searching and sorting algorithms
Binary Trees

Shell Scripts
Variables, Parameters
Substitution
Conditions
Loops
Functions
Shell debugging
Shell Error handling
Python overview
Basic syntax
Basic operators
Control Statements
ERROR handling in python
Python Modules
Strings, File IO
Pytest
GPIO, Serial, socket test cases
Part 2: Embedded AI & IoT
PART 2
Embedded AI & IOT

Number Systems
Logic Gates
Combinational Circuits
Sequential Circuits
Applications of Digital circuits
 

Introduction to CO
Memory Organization
I/O Organization
x86 Architecture
x86 Assembly Language
 

8085 Specifications
8085 Block diagram
8085 Instruction set
Memory segmentation
8085 Simulator

ARM Cortex M4 Features
ARM Processor modes
ARM Registers
ARM Instruction set
SytemTick Timer
NVIC

HardwareSoftware
STM32F401RBT6 SoCGeneral ‘C ‘ vs Embedded ‘C’
RaayanMini boardBitwise Operators
ST Link V2 DebuggerEmbedded C Programming
USB to TTL Converter.Keil IDE, Cube IDE

GPIOLED, Switches, LCD, DHT11, Matrix Keypad
UARTWi-Fi, BT, GSM, GPS,Codec, Biometric sensor
I2CRTC, EEPROM & ADXL345, Bit Banging
SPITFT LCD
CANIoT Nodes, OBD – II
ADCLM35, Potentiometer
DMAUsing UART, I2C, SPI
OthersPWM, WDT,Timers/Counter

TFLM
TinyML
TensorFlow Lite
PyTorch Mobile
Edge AI
Edge Impulse

STM32Cube.AI
STM32CubeMX
STM32AI model zoo

Industrial IoT Gateway
Smart Tracking system
Hand Held Terminal
Smart Attendance System
Smart Data Logger
Smart home automation
Smart Grid
SWMS
Firmware Over-the-Air

GPOS vs RTOSSynchronization
FREE RTOS LibrariesInter task communication
CMSIS RTOS LibrariesMemory Management
Real time SchedulingInterrupt Handling in RTOS
RTOS porting on STM32Time management

IoT Gateway, Node
End user, physical

MQTT, CoAP
BLE, Zigbee, Wi-Fi
CAN, Modbus, Ethernet
IoT Applications
Part 3: Embedded Linux Device Driver Development
PART 3
Embedded Linux

Types of Kernel
OS Operations
Linux Kernel Architecture
Scheduler Algorithms

File Tree & Types
File Systems
Super Block & inode
System vs Function Calls
File descriptor table
File Control Operations
File Locking

Process Structure & States
Scheduling & Priority
Process Creation & Exec
fork()/exec() calls
Signals, Threads

Producer Consumer Problem
Thread Synchronization
Process Synchronization

Pipes, Semaphores
Shared Memory
Message Queues
Sockets

Virtual Memory
Paging & Swapping
Memory Mapping

Two Roles of Kernel.
Kernel Programming
Linux Source tree Overview

What is Device Driver?
Types of Device Drivers
The Role of the Device Driver
Configuring, Compiling and Booting the Linux Kernel
/proc and /sys virtual file system.

What is a Kernel Module?
User mode vs Kernel mode
Module Dependency
Module parameters

The Complete connection.
Major and Minor numbers.
Implementation of Character Driver.

Embedded Hardware and Software.
C libraries. Building a cross-compiling tool chain.
Setting Up a Target Development Board.
X86 vs Embedded Boot Sequence.

Board Support Packages
U-boot commands
U-boot Customization
Device Trees

KBuild System
Configuring, (cross) compiling and booting a Linux kernel

Self-Diagnostic Tool.
Developing Linux Device Drivers Test Cases using Shell & Python Scripting

GDB, strace
/proc & /sys, valgrind

adb, logcat, avd
Remote Debugging
gdb server, ssh

Printk , Kernel Panic
Kernel OOPS
KDB, KGDB
Kprobes & Jprobes
Crash dump Analysis

Introduction to GIT
Git and Revision Control Systems
Git Concepts and Architecture
Useful git commands.
Contributing patches.
Commits, diffs
Branches, tag, Merges
Managing Local and Remote Repositories.

Gitlab repository

Part 4: Kernel Masters Placement Assistance (KMPAP)
PART 4
Kernel Masters Placement Assistance (KMPAP)

Regular Assessments
Written Test, Lab Test
Profile Preparation
Interview oriented Course revision
Individual interview guidance
On Campus / Off-Campus Interview support
C-Vital (C language practice)

Project Presentation
Seminars
How to present the project in an interview
Team Interactions and motivational sessions
Technical mock interviews

Why Students Trust Our Embedded AI Syllabus — In Their Own Words

Akhil Kumar sharing his testimonial on Embedded AI training at Kernel Masters, praising the hands-on projects and learning experience.

Aslam Basha Mohammad

Team F1 Networks

At first after seeing the course syllabus, I doubted that whether this syllabus will be covered or not within 6 months. But finally all the syllabus will be covered very beautifully that you will be wondering that how the syllabus got covered that too with clear explanation.


🚀Launching Most-Awaited Embedded AI & IoT Software Developer 

🚀Launching Most-Awaited
Embedded AI & IoT Software Developer