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Embedded_C_&_FreeRTOS

(Embedded C | Embedded AI | FreeRTOS)

EMBEDDED FIRMWARE

Embedded Firmware Engineering with RTOS & AI
Next Batch: 7th Sept 2026
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Course Duration
2 Months
Batch Type
Blended Learning Mode
SYLLABUS
Download Now
Online Sessions:
Mon, Wed, Fri
Timings: 8:00 PM - 9:30 PM
Recorded Videos:
30-Day Module-Wise Video Access

Working Professionals Program

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.

View Fee Structure Download Syllabus
Hands-on with Real Embedded Hardware
Raayan Mini STM32 Training Board CAN-IoT Node Hardware CAN-IoT Node
Learning Journey

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.

Outcome: Write and debug firmware for GPIO, ADC, UART, I2C, SPI and CAN workflows.

Module 2

Real-Time Systems with FreeRTOS

Learn RTOS concepts, task scheduling, queues, semaphores, mutex, ISR handling and real-time application design.

Outcome: Design FreeRTOS-based embedded applications with structured task communication.

Module 3

Embedded AI & Edge Intelligence

Understand TinyML workflows, TensorFlow Lite Micro concepts and AI inference deployment on microcontroller platforms.

Outcome: Deploy basic edge AI demos using sensor data and microcontroller inference.
Tools & Lab Exposure

Hands-on Tools, Boards & Lab Exposure

Practice real firmware, RTOS and embedded AI workflows using STM32-based hardware and hands-on lab tasks.

Embedded CSTM32ARM Cortex-M Raayan MiniGPIOADC UARTI2CSPI CANFreeRTOSTasks & Queues SemaphoresMutexInterruptsTinyML TFLMEdge AIESP8266 / IoT Node
Curriculum

Curriculum Breakdown

The program is divided into three curriculum modules to build firmware, RTOS and embedded AI skills step by step.

Module 1: Embedded Firmware Development
  • Embedded C programming for firmware development workflows
  • ARM Cortex-M and STM32 peripheral programming fundamentals
  • GPIO, ADC, timers, interrupts and debugging practices
  • UART, I2C, SPI and CAN communication protocol exposure
Module 2: Real-Time Systems with FreeRTOS
  • RTOS fundamentals, scheduler concepts and task design
  • FreeRTOS tasks, queues, semaphores, mutex and software timers
  • Interrupt handling and synchronization in real-time applications
  • Practical RTOS application design on STM32-based hardware
Module 3: Embedded AI & Edge Intelligence
  • Introduction to TinyML and AI inference on microcontrollers
  • TensorFlow Lite Micro workflow and embedded model deployment concepts
  • Sensor-based inference demos and real-time edge AI workflows
  • Understanding memory, performance and deployment constraints in embedded AI
Program Details

Batch Details & Learning Requirements

Key information for working professionals before enrolling into the complete program.

Duration2 Months
ModeBlended Learning Mode
Online SessionsTue, Thu, Sat
8:00 PM – 9:30 PM IST
Recorded / Lab SessionsMon, Wed, Fri
Validity as per batch policy
PrerequisitesBasic C, Digital Logic, Computer Organization & Assembly Basics
HardwareRaayan Mini Development Kit + optional CAN IoT Node
Fee Structure

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 7th Sept 2026 ₹12,500 /- 299 USD
Module 2: Real-Time System with FreeRTOS 3 Weeks 28th Sept 2026 ₹9,500 /- 249 USD
Module 3: Embedded AI & Edge Intelligence 2 Weeks 19th Oct 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
Note: This is a complete professional program. Module-wise breakup is shown only for transparent fee understanding. Optional CAN IoT Node cost may apply if the CAN IoT Node project is selected.
  1. Admission is for the complete Embedded Firmware Engineering with RTOS & AI program.
  2. Offers apply only on single payment of the complete program fee.
  3. Hardware, shipping, GST or customs charges are applicable based on location and requirement.
  4. Recorded video access is provided as per the batch or module policy.
  5. Offer validity and seat availability are confirmed at the time of admission.
  6. Students must dedicate time for classes, assignments and lab practice.
Industry Readiness Framework

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

  1. Transform students into industry-ready Embedded Firmware Engineers by combining structured concept learning with extensive hands-on practical implementation.
  2. 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.
  3. Maximize learning outcomes through a 40% Theory & Concept Building and 60% Hands-on Practical Implementation approach.
  4. 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.
  5. 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.
  6. 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 ↓

What is the learning methodology followed in this program?

Kernel Masters follows an industry-oriented blended learning model that combines structured concept learning with extensive hands-on firmware implementation.

Students prepare concepts through recorded sessions and then attend instructor-led interactive sessions focused on live coding, debugging, peripheral interfacing, RTOS implementation, embedded AI workflows and project development.

What is the 40% theory and 60% practical approach?

The program follows approximately 40% concept building and 60% hands-on implementation through Embedded C, STM32 peripherals, FreeRTOS, debugging, sensor interfacing and project workflows.

How are recorded sessions used?

Recorded videos are provided for concept preparation and revision. They are released module-wise, and each module remains accessible for a minimum of 30 days according to the course schedule.

Why should students complete recorded lessons before live sessions?

Students are encouraged to complete assigned recorded lessons before attending the corresponding interactive session so live class time can focus on coding, debugging, hardware implementation and technical discussions.

What happens during instructor-led interactive sessions?

Interactive sessions focus on live firmware coding, STM32 peripheral control, debugging, RTOS implementation, embedded AI demonstrations, assignments, project workflows and real-world embedded problem-solving.

Are recordings of the interactive live sessions shared with students?

No. Recordings of interactive live sessions are not included as part of the regular course delivery.

As part of the Kernel Masters Blended Learning Model, students receive recorded concept videos before each interactive session for preparation and revision.

Interactive sessions are meant for hands-on implementation, live coding, debugging, hardware experiments, project discussions, and real-time doubt clarification. Students are expected to attend every scheduled interactive session.

  • In genuine exceptional cases, Kernel Masters may provide temporary recording access at its sole discretion.
  • If provided, access will be available for up to 24 hours only.
  • Recording access is not guaranteed and is decided case by case.
  • Students should not depend on recordings instead of attending live sessions.
How does this methodology help students become industry-ready?

This structured approach helps students build strong fundamentals, practical firmware development skills, hardware debugging ability, RTOS design confidence and the technical confidence expected in embedded product development roles.

Important Attendance Policy

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.

Objective

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 ↓

Does Kernel Masters provide placement assistance?

Yes. Kernel Masters provides structured placement assistance to eligible students who complete the course requirements and demonstrate the required technical readiness.

How does the placement assistance process work?

The process includes course completion review, resume improvement, firmware project evaluation, mock technical interviews, one-to-one mentoring, interview readiness assessment and suitable interview opportunities.

Will my firmware projects be reviewed?

Yes. Projects are reviewed to help students explain implementation logic, peripheral usage, debugging steps, RTOS design choices and practical problem-solving during interviews.

Will mock interviews be conducted?

Yes. Mock interviews focus on Embedded C, STM32, microcontroller peripherals, FreeRTOS, debugging, project explanation and problem-solving ability.

Is placement guaranteed?

No. Kernel Masters does not guarantee employment. We provide structured preparation, mentoring and interview opportunities. Final selection depends on student performance and employer requirements.

What roles can this program support?

This program supports preparation for roles such as Embedded Firmware Engineer, Embedded Software Engineer, RTOS Developer, STM32 Firmware Developer and entry-level embedded systems roles.

🧩

Hardware Practice & Development Boards

Real firmware practice using Raayan Mini STM32 hardware, sensors, communication interfaces and embedded lab workflows.

Objective

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 ↓

Which hardware board is used in this program?

The program uses the Raayan Mini STM32-based board for practical firmware development, peripheral interfacing, FreeRTOS implementation and embedded AI workflows.

Why is real hardware practice important for firmware learning?

Firmware development requires understanding hardware behavior, peripherals, timing, interrupts and debugging. Real hardware practice helps students build confidence beyond theory or simulation.

What peripherals will I practice?

Students work with GPIO, ADC, UART, I2C, SPI, CAN, timers, interrupts, sensors and communication workflows depending on the module and lab plan.

Will I practice FreeRTOS on hardware?

Yes. FreeRTOS concepts such as tasks, queues, semaphores, mutexes, timers and real-time application design are practiced using embedded hardware workflows.

Does the program include embedded AI hardware practice?

Yes. Students get exposure to TinyML and microcontroller-based inference workflows using sensor data and embedded AI demonstrations.

Is the CAN IoT Node mandatory?

No. The CAN IoT Node is optional and is used only for selected CAN or IoT-based project workflows.

Are hardware charges included in the fee?

Hardware kit availability, fee inclusion, shipping, GST or customs charges are handled as per the admission and delivery policy. Students should confirm hardware details during enrollment.

FAQ

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.

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🚀 Admission for 6 months Embedded AI & IoT offline course at Hyderabad & Bangalore
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🚀  Admission for 6 months Embedded AI & IoT offline course at Hyderabad & Bangalore
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Select Below Catagories
Fresher
Non Fresher
Working Professional
Final Year Students
Select Below Catagories
Fresher
Non Fresher
Working Professional
Final Year Students