Why Choose Our Internship Program
The Embedded AI Internship Program is designed exclusively for final-year B.Tech students who want to combine their academic projects with real-world industrial experience. This program helps you work on AI-powered embedded projects, develop strong hardware skills, and get prepared for placements in core and AI-IoT companies.
✅ Academic Project + Internship Certificate
✅ Real Hardware Experience on Raayan Mini
✅ AI & Embedded System Integration
✅ Resume, Interview & Placement Support
Program Structure
This 6-month internship is divided into two focused phases to ensure both academic completion and industry readiness.
Phase 1: Academic Internship (3 Months)
Work on your final-year project with guidance from Kernel Masters experts. Learn embedded system fundamentals, STM32 programming, IoT connectivity, and AI model deployment.
Work on your final-year project with guidance from Kernel Masters experts. Learn embedded system fundamentals, STM32 programming, IoT connectivity, and AI model deployment.
Phase 2: Industry & Placement Training (3 Months)
Advance to real-world applications, build professional portfolios, practice mock interviews, and get career mentoring.
Advance to real-world applications, build professional portfolios, practice mock interviews, and get career mentoring.
Detailed Phase Overview
Phase 1 – Academic Internship (3 Months)
In this phase, students focus on building a strong foundation in embedded systems and completing their academic project with industrial quality. You will:
- Design and develop your final-year project using Raayan Mini and STM32CubeIDE.
- Learn to interface sensors, actuators, and communication modules (UART, I2C, SPI, Wi-Fi, BLE).
- Receive continuous mentor feedback and milestone evaluation.
- Learn best practices in embedded firmware optimization and debugging.
- Work on advanced real-world embedded AI & IoT applications.
Phase 2 – Industry & Placement Training (3 Months)
This phase transforms your learning into professional readiness by emphasizing advanced embedded concepts, project documentation, and interview preparation. You will:
- Embedded Linux device drivers, Linux system programming and OS concepts.
- Understand fundamentals of Embedded AI and data acquisition for ML models.
- Deploy simple neural network models on microcontrollers.
- Develop a professional portfolio with your project demo and documentation.
- Participate in resume building, mock interviews, and technical tests.
- Gain exposure to Kernel Masters’ industry network for placement assistance.
6-Month Internship Journey Roadmap
Part 1: Programming Concepts
Module 1 : Linux Basics
| How Linux built | Command Documentation |
| Linux History | Text Editors |
| Linux Kernel Features | Types of Shells, bash |
| Linux Commands | Users and Permissions |
| Linux Licence | Standard IO |
| Linux Root Filesystem Hierarchy | Redirections and Pipes |
Module 2 : Programming
Basic 'C'
| Elements in ‘C’ | Stack Frame |
| Variables and Data Types | Functions |
| Operators & expressions | Arrays |
| Conditional Statements | Strings |
| Loops | Pointers |
| Memory Layout of C program | Pre-processor Directives |
| Storage classes | ERROR handling |
Advanced 'C'
| Pointer arithmetic | Dynamic Memory Allocation |
| Advanced pointers | Structures |
| Strings and arrays with pointers | Unions |
| Function pointers | Enumerations |
| Array pointers | Bit fields |
| Command Line Arguments | File Handling |
| Recursive Functions | Mixing Assembly and C |
GNU ToolChain
| GNU C Compiler stages |
| GNU Debugger |
| GNU Makefile |
| GNU binutils |
| GNU Build system |
Data Structures
| Introduction to DS |
| Types of Data Structures |
| Stacks, Queues |
| Single Linked Lists |
| Double Linked Lists |
| Searching and sorting algorithms |
| Binary Trees |
Scripting Languages
Shell Programming
| Shell Scripts |
| Variables, Parameters |
| Substitution |
| Conditions |
| Loops |
| Functions |
| Shell debugging |
| Shell Error handling |
Python Programming
| 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
Module 3 : Embedded Systems Essentials
Digital Electronics
| Number Systems |
| Logic Gates |
| Combinational Circuits |
| Sequential Circuits |
| Applications of Digital circuits |
Computer Organization
| Introduction to CO |
| Memory Organization |
| I/O Organization |
| x86 Architecture |
| x86 Assembly Language |
8085/8086 Microprocessor
| 8085 Specifications |
| 8085 Block diagram |
| 8085 Instruction set |
| Memory segmentation |
| 8085 Simulator |
Module 4: Embedded AI
Embedded C
ARM Cortex M4 Architecture
| ARM Cortex M4 Features |
| ARM Processor modes |
| ARM Registers |
| ARM Instruction set |
| SytemTick Timer |
| NVIC |
Embedded Hardware / Software
| Hardware | Software |
| STM32F401RBT6 SoC | General ‘C ‘ vs Embedded ‘C’ |
| RaayanMini board | Bitwise Operators |
| ST Link V2 Debugger | Embedded C Programming |
| USB to TTL Converter. | Keil IDE, Cube IDE |
Microcontroller Interfacings
| GPIO | LED, Switches, LCD, DHT11, Matrix Keypad |
| UART | Wi-Fi, BT, GSM, GPS,Codec, Biometric sensor |
| I2C | RTC, EEPROM & ADXL345, Bit Banging |
| SPI | TFT LCD |
| CAN | IoT Nodes, OBD – II |
| ADC | LM35, Potentiometer |
| DMA | Using UART, I2C, SPI |
| Others | PWM, WDT,Timers/Counter |
Embedded AI
AI Frameworks
| TFLM |
| TinyML |
| TensorFlow Lite |
| PyTorch Mobile |
| Edge AI |
| Edge Impulse |
Embedded AI Tools
| STM32Cube.AI |
| STM32CubeMX |
| STM32AI model zoo |
Embedded AI Projects
| 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 |
Free RTOS
| GPOS vs RTOS | Synchronization |
| FREE RTOS Libraries | Inter task communication |
| CMSIS RTOS Libraries | Memory Management |
| Real time Scheduling | Interrupt Handling in RTOS |
| RTOS porting on STM32 | Time management |
IoT
IoT Architecture
| IoT Gateway, Node |
| End user, physical |
IoT Protocols
| MQTT, CoAP |
| BLE, Zigbee, Wi-Fi |
| CAN, Modbus, Ethernet |
| IoT Applications |
Part 3: Embedded Linux Device Driver Development
Module 5: Linux System Programming (LSP)
Operating Systems Concepts
| Types of Kernel |
| OS Operations |
| Linux Kernel Architecture |
| Scheduler Algorithms |
File Management
| File Tree & Types |
| File Systems |
| Super Block & inode |
| System vs Function Calls |
| File descriptor table |
| File Control Operations |
| File Locking |
Process Management
| Process Structure & States |
| Scheduling & Priority |
| Process Creation & Exec |
| fork()/exec() calls |
| Signals, Threads |
Synchronization
| Producer Consumer Problem |
| Thread Synchronization |
| Process Synchronization |
Inter-Process communication
| Pipes, Semaphores |
| Shared Memory |
| Message Queues |
| Sockets |
Memory Management
| Virtual Memory |
| Paging & Swapping |
| Memory Mapping |
Module 7: Embedded Linux Projects
Introduction to embedded Linux.
| Embedded Hardware and Software. |
| C libraries. Building a cross-compiling tool chain. |
| Setting Up a Target Development Board. |
| X86 vs Embedded Boot Sequence. |
Boot loaders
| Board Support Packages |
| U-boot commands |
| U-boot Customization |
| Device Trees |
Linux Kernel
| KBuild System |
Configuring, (cross) compiling and booting a Linux kernel |
Embedded Linux Troubleshooting
| Self-Diagnostic Tool. |
Developing Linux Device Drivers Test Cases using Shell & Python Scripting |
Module 6: Linux Device Drivers (LDD)
Introduction to Linux Kernel
| Two Roles of Kernel. |
| Kernel Programming |
| Linux Source tree Overview |
Introduction to Device Drivers
| 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. |
Module Programming
| What is a Kernel Module? |
| User mode vs Kernel mode |
| Module Dependency |
| Module parameters |
Character Device Drivers
| The Complete connection. |
| Major and Minor numbers. |
| Implementation of Character Driver. |
Module 8: Debugging Techniques
User space tools
| GDB, strace |
| /proc & /sys, valgrind |
Android Debugging
| adb, logcat, avd |
| Remote Debugging |
| gdb server, ssh |
Kernel Space tools
| Printk , Kernel Panic |
| Kernel OOPS |
| KDB, KGDB |
| Kprobes & Jprobes |
| Crash dump Analysis |
Hardware Debugging
SWD, JTAG
Module 9: Open Source Development Environment (SDLC)
Source Code Version Control
| 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. |
GIT lab
Gitlab repository
source Code Browsing Tools
| cscope |
| ctag |
Part 4: Kernel Masters Placement Assistance (KMPAP)
Module 10: Enter into Semiconductor Industry
Enter into Semiconductor Industry
| 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) |
Presentation Skills
| Project Presentation |
| Seminars |
| How to present the project in an interview |
| Team Interactions and motivational sessions |
| Technical mock interviews |
Program Benefits
🎓 Complete Your Academic Project with Industrial Quality
💡 Hands-On Learning on Real Boards
🏗️ Recognized Internship Certificate
💼 Placement Assistance & Career Guidance
Who Can Apply
- Final-year B.Tech students (ECE, CSE, IT, EEE, AI, Robotics)
- Students working on Embedded or IoT-related projects
- Those aiming for careers in Embedded Systems, AI, or IoT industries
- Anyone seeking industrial exposure before graduation
Why Kernel Masters
10,000+ Engineers Trained
60+ Successful Batches
Expert Mentors from Industry
Custom Designed RaayanMini Board for Practical Training
“Empowering the Next Generation of Embedded AI Engineers”