Embedded Firmware Engineering with RTOS & AI
A complete hands-on program that helps working professionals move from embedded firmware fundamentals to real-time systems and edge AI on microcontrollers.
Learn register-level firmware development, STM32 peripheral control, FreeRTOS-based application design and TinyML deployment through practical labs and project-oriented workflows.
Complete Learning Journey & Outcomes
A structured progression from firmware fundamentals to RTOS-based design and edge AI implementation.
Module 1
Embedded Firmware Development
Build firmware foundations using Embedded C, STM32 peripherals, register-level programming and communication interfaces.
Module 2
Real-Time Systems with FreeRTOS
Learn RTOS concepts, task scheduling, queues, semaphores, mutex, ISR handling and real-time application design.
Module 3
Embedded AI & Edge Intelligence
Understand TinyML workflows, TensorFlow Lite Micro concepts and AI inference deployment on microcontroller platforms.
Batch Details & Learning Requirements
Key information for working professionals before enrolling into the complete program.
8:00 PM – 9:30 PM IST
Validity as per batch policy
Complete Program Fee & Terms
Module-wise breakup is shown for curriculum clarity and transparent fee understanding.
| Course Component | Duration | Start Date | Within India | Outside India |
|---|---|---|---|---|
| Module 1: Embedded Firmware Development | 3 Weeks | 21st Sept 2026 | ₹12,500 /- | 299 USD |
| Module 2: Real-Time System with FreeRTOS | 3 Weeks | 12th Oct 2026 | ₹9,500 /- | 249 USD |
| Module 3: Embedded AI & Edge Intelligence | 2 Weeks | 2nd Nov 2026 | ₹9,500 /- | 249 USD |
| Total Program Value | 8 Weeks | — | ₹31,500 /- | 797 USD |
| Raayan Mini Development Kit | — | Required for practicals | ₹6,500 /- | 169 USD |
| Discount | — | On or Before 3rd Sept 2026 | -₹10,000 /- | -299 USD |
| Complete Program Offer Fee | 2 Months | Current Batch | ₹28,000 /- | 667 USD |
- Admission is for the complete Embedded Firmware Engineering with RTOS & AI program.
- Offers apply only on single payment of the complete program fee.
- Hardware, shipping, GST or customs charges are applicable based on location and requirement.
- Recorded video access is provided as per the batch or module policy.
- Offer validity and seat availability are confirmed at the time of admission.
- Students must dedicate time for classes, assignments and lab practice.
LEARNER EXPERIENCES
What Our Working Professionals Say
Read feedback shared by learners who experienced the Embedded Firmware Engineer program.
S. Dinesh
KMID: KM18EC21
Overall, my experience with the training was very good and informative. The course content was well structured, and all the topics that were discussed before joining the course were covered and explained clearly. The trainer did an excellent job of explaining each topic in a simple and understandable way and was always available to clarify doubts. I also liked the way the concepts were explained with patience and clarity.
One suggestion would be to keep the recorded training videos accessible until the end of the training, as it would be helpful to refer back to the sessions when revisiting the topics or clarifying doubts. Since I have previous experience in the automotive embedded domain, including some automotive embedded-related topics or training programs in the future would also be very useful.
Overall, I am satisfied with the training and appreciate the effort put into making the sessions informative and interactive.
Narendra Pulipati
KMID: KM18EC20
Overall, I had a great experience with the institute! As a complete beginner, the training content was very useful and easy to understand. The trainer was excellent. He has great knowledge, shares good data, and is very patient and clear when explaining things to a beginner like me.
In the beginning, the pace was perfect. I easily understood every small topic. Even the first mini-projects like SWMS 1.1 and 1.2 had enough time and were easy to manage.
But when we started advanced topics and projects like SWMS 2.0, RTOS, and SWMS 3.0, it felt a bit rushed. These topics are very interesting, so I personally feel that giving more time for these hard parts would make the training perfect.
I got an idea for the future: I would love to have more advanced classes and see more real-world examples to help us learn even better!
M.S. Kaviya
KMID: KM17EC06
Overall, I had a good learning experience. The training helped me build a strong understanding of the fundamentals and gave me a clear picture of the subject.
The content was well organized, and the trainer explained the concepts clearly. I believe I need more hands-on practice to become confident with the topics covered, but this training provided a solid foundation to build upon. Thank you for the informative and engaging sessions.
Shivang Mandvia
KMID: KM14EL17-04-17EC
My journey with Kernel Masters has been incredibly rigorous and transformative. Transitioning from a working professional to the core embedded domain was not easy, but this institute provided me with a solid technical direction.
Although I struggled initially with the fast pace and time management, Balu Sir’s relentless guidance and the intensive learning environment successfully cleared many of my technical blockages.
This hard work has laid a very strong foundation for my future career in embedded systems. Thank you!
Hands-on Tools, Boards & Lab Exposure
Practice real firmware, RTOS and embedded AI workflows using STM32-based hardware and hands-on lab tasks.
Learning Methodology, Hardware Practice & Career Support
A structured training approach that combines guided concept learning, STM32-based hardware practice, RTOS implementation, embedded AI exposure and placement preparation to help students become industry-ready firmware engineers.
Industry-Oriented Learning Methodology
A blended learning approach focused on firmware concepts, live coding, debugging, microcontroller programming, RTOS practice and project-based implementation.
Objective
- Transform students into industry-ready Embedded Firmware Engineers by combining structured concept learning with extensive hands-on practical implementation.
- Follow a Blended Learning Model, where students first learn theoretical concepts through recorded sessions and then attend instructor-led interactive classes focused on live coding, debugging, microcontroller programming, peripheral interfacing, RTOS implementation, assignments, projects and real-world problem-solving.
- Maximize learning outcomes through a 40% Theory & Concept Building and 60% Hands-on Practical Implementation approach.
- Provide recorded videos for concept preparation and revision, released module-wise. Each module remains accessible for a minimum of 30 days according to the course schedule.
- Encourage students to complete assigned recorded lessons before interactive practical sessions to gain maximum benefit from live implementation, technical discussions, debugging practice and doubt clarification.
- Help students build strong conceptual knowledge, practical firmware development skills, hardware debugging ability, RTOS design confidence and the technical confidence expected in the Embedded Systems industry.
Highlights
- Blended Learning Model
- 40% Theory Building
- 60% Hands-on Practice
- 30-Day Module Video Access
- Embedded C & STM32 Practice
- Interactive Live Coding
- Firmware Debugging
- Peripheral Interfacing
- FreeRTOS Implementation
- Embedded AI / TinyML Exposure
- Assignments & Projects
- Industry-Oriented Approach
View Related FAQs ↓
Interactive Live Sessions Are Attendance-Based
Interactive sessions are conducted for hands-on implementation, live coding, debugging, hardware experiments, and technical discussions.
Students are expected to attend every scheduled interactive session to get the best learning outcome.
Recorded concept videos are provided for preparation and revision. Recordings of interactive live sessions are generally not part of the regular course delivery.
Structured Placement Assistance
Guided preparation for embedded firmware, RTOS and microcontroller-based interview roles.
Our objective is to prepare students for firmware interviews through resume improvement, project review, mock interviews, technical mentoring and interview readiness assessment.
- Technical Skill Assessment
- Resume Enhancement
- LinkedIn Profile Guidance
- Firmware Project Review
- Mock Technical Interviews
- Career Mentoring
- Interview Readiness
- Continuous Support
View Related FAQs ↓
Hardware Practice & Development Boards
Real firmware practice using Raayan Mini STM32 hardware, sensors, communication interfaces and embedded lab workflows.
Our objective is to help students gain practical firmware development experience through microcontroller programming, peripheral interfacing, RTOS implementation, debugging and embedded AI experiments.
- Raayan Mini STM32 Board
- ARM Cortex-M Platform
- GPIO, ADC, UART, I2C & SPI
- Timers, Interrupts & PWM
- FreeRTOS Practice
- Sensor Interfacing
- Firmware Debugging
- Embedded AI / TinyML Demos
Hardware details, kit availability, GST, shipping or customs charges are applicable as per admission and delivery policy.
View Related FAQs ↓
Frequently Asked Questions
Common questions about the Embedded Firmware Engineering with RTOS & AI program.
Who is this Embedded Firmware program suitable for?
This program is suitable for working professionals, fresh graduates and engineers who want to build practical skills in embedded firmware, STM32, FreeRTOS and embedded AI workflows.
Is this a complete program or separate module-wise enrollment?
This is a complete program. The module-wise breakup is shown only for curriculum clarity and transparent fee understanding.
What hardware will be used during the program?
The program uses STM32-based hardware such as the Raayan Mini board, along with hands-on firmware, RTOS and embedded AI lab workflows.
Will I learn FreeRTOS practically?
Yes. FreeRTOS concepts such as tasks, queues, semaphores, mutex, timers, ISR interaction and real-time application design are covered through practical implementation.
Does the program include Embedded AI or TinyML?
Yes. The program introduces TinyML, TensorFlow Lite Micro concepts, sensor data workflows and microcontroller-based inference demos.
Start Your Embedded Firmware, RTOS & AI Journey
Build practical skills in firmware development, real-time systems and edge AI workflows with Kernel Masters.
Admission for 6 months Embedded AI & IoT offline course at Hyderabad & Bangalore