IntermediateIllustrative
Peripheral Driver Suite
A reviewed, documented driver library written from reference manuals rather than vendor examples.
Embedded Systems + Edge AI · Online across IndiaBuild Real Embedded Systems.
Build Real Embedded Systems.
Engineer the Intelligence Behind Them.
Learn Embedded Systems and Edge AI online across India through engineering mentorship, focused batches of up to five learners, hands-on hardware, and practical engineering projects.
- Maximum 5 learners per regular batch
- One-to-one training available
- Flexible evening & weekend scheduling
- Hardware kits delivered home*
- Practical, career-oriented projects
*The course hardware kit is included. Delivery coverage and charges are confirmed before enrolment.
reference_architecture.svgSensing → on-device inference → telemetry
The model
Small Batches. Serious Engineering.
A regular batch at Embeddskills is capped at five learners. That single constraint is what makes individual attention, code review and live debugging possible instead of aspirational.
Maximum 5 learners per regular batch
- Direct interaction with the trainer throughout the session, not just at the end.
- Individual doubt-solving — questions are answered in the room, not deferred.
- Regular code review with written, specific feedback.
- Live debugging alongside an engineer rather than a recorded walkthrough.
- Guided practical work with your hardware in front of you.
- Project feedback that explains trade-offs, not just pass or fail.
- Scheduled progress reviews so gaps are caught early.
- A focused environment where participation is expected rather than optional.
Why we publish the number.Any batch size can be claimed. Stating it creates an expectation we can be held to — and a reason to start another batch rather than fill a sixth seat.
How we teach
See how this maps to the curriculumSeven steps, repeated until it is a habit
Each step produces an artefact you can show: reviewed code, a captured waveform, a test report, a working device.
Learn fundamentals
Concepts introduced with the reason they exist and the failure they prevent.
Write code
Implemented immediately — no section advances on theory alone.
Interface hardware
Your board, your sensors, real signals on a real bus.
Debug
Breakpoints, watchpoints and a logic analyser until the behaviour is explained.
Build
Assemble components into a working device with documented architecture.
Test
Write down what correct means, then prove it — including the failure cases.
Demonstrate
Explain the design and defend the trade-offs to someone else.
Flagship programme
Complete Embedded Systems Engineering with AI and Edge Intelligence
A single, sequenced pathway from C programming through microcontroller firmware, RTOS, Embedded Linux, connected systems, automotive embedded and Edge AI, ending with production engineering and technical interview preparation.
Live online · enquire for cohort datesIndicative: 9–13 months at 14–20 total hours per week, learner pace dependentLive online · maximum 5 learners per batch · one-to-one option · evening and weekend slots
Modules 01 – 06 of 10 in the core path
- 01C Programming for Embedded WorkLanguage fundamentals → memory model60–80 hours
- 02Embedded Systems FoundationsArchitecture → peripherals → hardware debugging50–70 hours
- 03Firmware Development on ARM Cortex-MStartup code → drivers → firmware architecture70–90 hours
- 04RTOS and FreeRTOSTasks → synchronisation → real-time debugging60–80 hours
- 05Embedded Linux and Device DriversBoot → kernel → drivers → build systems80–110 hours
- 06Communication Protocols and IoTOn-board buses → networking → device-to-cloud50–70 hours
Then Automotive Embedded (elective), Embedded AI, Production Engineering and Career Preparation — 10 modules in total.
Read the full curriculum, module by moduleWhat you will be able to do
- Write and defend C that manipulates memory deliberately.
- Bring up peripherals from a reference manual, not an example.
- Design multi-task firmware and diagnose concurrency defects.
- Boot Linux, write a character driver and debug it.
- Deploy a quantised model on-device and report its real budget.
- Present your own projects under interview questioning.
Prerequisites
- No prior programming required for the starting module.
- Basic electronics helps; we will flag anything to cover first.
- A computer able to run a C toolchain and serial terminal.
Interactive learning roadmap
Thirteen stages from first program to first role
Select a stage to see what you study, why it matters, the practical exercise and the recommended next step.
Stage 01 · 3–5 weeks at 6–8 hours/week
Programming Foundations
Embedded work is still software work. Weak fundamentals show up later as "firmware bugs" that are really C mistakes.
Practical exercise
Solve 30 small problems and refactor one solution three times, documenting each improvement.
Skills gained
Logical problem solvingReading codeBasic debuggingGit basics
Next step
Move to Embedded C once you can write small programs without looking up syntax.
Stage 02 · 5–7 weeks at 6–8 hours/week
Embedded C
This is the language interviewers test hardest and the language your firmware will actually be written in.
Practical exercise
Implement a ring buffer and a CRC routine, then explain the memory layout of both from the map file.
Skills gained
Memory reasoningDefensive codingToolchain understanding
Next step
Apply C to real silicon in Microcontroller Fundamentals.
Stage 03 · 4–6 weeks at 6–8 hours/week
Microcontroller Fundamentals
Register-level understanding is what separates an embedded engineer from someone who calls library functions.
Practical exercise
Bring up an unseen board from documentation alone: clocks, GPIO, then a timer interrupt.
Skills gained
Peripheral configurationDocumentation readingSignal awareness
Next step
Start talking to external chips in Peripheral Interfaces.
Stage 04 · 4–5 weeks at 6–8 hours/week
Peripheral Interfaces
Most field failures are on a wire, not in an algorithm. Interface debugging is a daily skill.
Practical exercise
Interface two sensors plus a display, capture every bus transaction on a logic analyser, and document error-recovery behaviour.
Skills gained
Bus protocolsSignal debuggingSensor integration
Next step
Structure the code into Firmware Development.
Stage 05 · 5–7 weeks at 6–8 hours/week
Firmware Development
Projects stop working at scale unless the code has structure. This is where hobby code becomes engineering.
Practical exercise
Refactor a flat superloop application into layered drivers plus a documented state machine with unit tests.
Skills gained
Software architectureTestingCode review participation
Next step
Deepen on a real target in ARM-based Systems.
Stage 06 · 5–7 weeks at 6–8 hours/week
ARM-based Systems
ARM Cortex-M dominates the industry. Depth here transfers directly to most job descriptions.
Practical exercise
Write a custom linker script, trigger and analyse a hard-fault, then fix the root cause.
Skills gained
Platform depthLow-level debuggingToolchain fluency
Next step
Add concurrency with RTOS.
Stage 07 · 6–8 weeks at 6–8 hours/week
Real-Time Operating Systems
Concurrency is the single most common source of interview failure and field defects in embedded roles.
Practical exercise
Build a multi-task controller with queue-based IPC, then deliberately inject a priority inversion and fix it.
Skills gained
Concurrency reasoningTiming analysisReal-time debugging
Next step
Choose a specialisation: Embedded Linux, IoT, automotive or Edge AI.
Stage 08 · 8–11 weeks at 6–8 hours/week
Embedded Linux
Gateways, cameras, infotainment and edge gateways all run Linux. Driver skill is a scarce, well-paid specialty.
Practical exercise
Implement a character driver exposing a device, add its device-tree node, and boot an image you built.
Skills gained
Kernel-level debuggingDriver developmentImage builds
Next step
Connect devices in IoT and Networking.
Stage 09 · 5–7 weeks at 6–8 hours/week
IoT and Networking
Connected products fail at the network edge. Knowing retries, offline behaviour and updates is real engineering.
Practical exercise
Ship telemetry from a device to a broker, survive a network outage, and perform a validated firmware update.
Skills gained
Networked firmwareProtocol designOperational robustness
Next step
Combine with AI in Embedded AI, or go deeper in Automotive.
Stage 10 · 5–7 weeks at 6–8 hours/week
Automotive Embedded
Pune and Maharashtra host large automotive engineering clusters; diagnostics and CAN are recurring hiring requirements.
Practical exercise
Build a CAN data logger that performs a UDS session to configure its own capture settings.
Skills gained
DiagnosticsIn-vehicle networkingSafety awareness
Next step
Apply AI at the edge for perception or condition monitoring.
Stage 11 · 7–9 weeks at 6–8 hours/week
Embedded AI
Edge AI only counts when it runs inside real constraints. This stage is about measurements, not demos.
Practical exercise
Train, quantise and deploy a classifier, then report on-device latency, RAM and accuracy side by side.
Skills gained
TinyML deploymentResource measurementData pipeline design
Next step
Integrate everything in Integrated Projects.
Stage 12 · 6–10 weeks per substantial project
Integrated Projects
Interviewers probe integration experience, not completed tutorials. This is where evidence is produced.
Practical exercise
Deliver one end-to-end system with a written design, measured results and a recorded demonstration.
Skills gained
Systems thinkingMeasurementTechnical communication
Next step
Convert the work into applications in Career Preparation.
Stage 13 · 4–6 weeks, running alongside applications
Career Preparation
Skill without evidence is invisible to recruiters. Evidence without interview skill is wasted.
Practical exercise
Run three mock interviews and publish two project write-ups that explain trade-offs honestly.
Skills gained
Self-presentationAssessment performanceSearch discipline
Next step
Continue targeted study based on the roles you are actually targeting.
Project portfolio
Engineering projects you can work toward
Each entry is an illustrative specification: the problem, the hardware, the architecture, how it is tested and what would be measured. None is presented as work already completed by a learner.
IntermediateIllustrative
Sensor Acquisition and Processing Node
Sample, filter and report multi-sensor data with deterministic timing you can prove.
IntermediateIllustrative
UART / SPI / I2C Integration Bench
Three buses, real devices, and documented error recovery for each.
AdvancedIllustrative
RTOS Multi-Task Controller
A production-shaped RTOS application with measured headroom and deliberate defects you fix.
Compare the three learning formats
| Compare | Flagship programmeComplete Embedded Systems Engineering with AI and Edge IntelligenceLive online · enquire for cohort dates | Specialisation pathwayA focused route into one domain after the foundationsLive online · choose your course pathway | One-to-one trainingA plan built around your background, goals and scheduleSubject to trainer capacity and the selected programme |
|---|---|---|---|
| Batch format | Maximum 5 learners per regular batch | Maximum 5 learners per regular batch | Individual — you work directly with the trainer |
| Depth of coverage | All 10 modules: C → firmware → RTOS → Linux → automotive → Edge AI → career prep | One domain in depth (RTOS, Embedded Linux, Automotive, IoT, Edge AI and others) | Scoped to your objectives; may skip modules you already know |
| Pace and duration | Indicative 9–13 months at 14–20 total hours per week | Course timetable and study effort discussed before enrolment | Your pace, reviewed at agreed checkpoints |
| Hardware kit | Course-specific hardware kit included; see Hardware Kit policy | Course-specific hardware kit included | Course-specific hardware kit included |
| Career preparation | Portfolio, resume, assessments and mock interviews included | Project review and interview preparation for that domain | Focused preparation against your specific target roles |
| Best suited for | Students, freshers and career switchers who want one structured path without gaps | Engineers who already have foundations and need targeted depth | Working professionals, domain switchers and anyone with an unusual starting point |
| Next step | View the flagship curriculum | See specialisation pathways | Explore one-to-one training |
Hardware
Your Lab Comes Home
Practise with the course-specific hardware kit included in your fee. Delivery details are confirmed for your location before enrolment.
Choose a program
The programme determines which boards, sensors and accessories you actually need. We do not ship hardware that the syllabus will not use.
Confirm the kit
You receive the exact bill of materials for your programme — boards, sensors, breadboard, cabling and accessories — before you commit. If you already own compatible hardware, the kit component can be adjusted.
Delivery
The kit is packed and dispatched to your address. Delivery coverage and timelines are confirmed per cohort and per location before enrolment.
Setup
A guided setup checklist gets your board recognised by your computer, drivers installed, toolchain verified and a first program flashing — before any syllabus session begins.
Guided experiments
Each module has practical experiments run against your own hardware, with waveforms, measurements and results to compare against the expected behaviour.
Project development
You build and keep a portfolio of projects on the same hardware, so the kit becomes a continuing lab rather than a single-use box.
Development boards
- Arduino-class board
- ESP32-class Wi-Fi/BLE board
- STM32-class ARM Cortex-M board
Boards vary by programme. A Linux module may specify a Linux-capable board instead.
Sensors and actuators
- IMU (accelerometer / gyroscope)
- Temperature and humidity sensor
- Distance or ambient light sensor
- Small actuator or relay module
Sensor selection follows the experiments in your syllabus.
Bench essentials
- Breadboard
- Jumper wire set
- Passive components (resistors, capacitors, LEDs)
- USB cables for the specified boards
Sized so that experiments can be built without extra purchases.
Optional add-ons
- Logic analyser
- CAN transceiver module
- External programmer / debug probe
Availability depends on the programme. Some cohorts provide shared instruments instead.
Not every board ships in every programme.Kit contents, cost, shipping coverage, delivery timelines, ownership, returns and replacements are confirmed per programme before enrolment — see the hardware kit policy.Full kit details
The learning experience
What a session actually looks like
Live classes, structured recordings and hands-on labs connect code, hardware, waveforms and project review.
/* review: ISR does too much — defer to the worker task */
static QueueHandle_t sample_q;
void ADC_IRQHandler(void) {
static sample_t s;
s.raw = ADC1->DR;
s.tick = SysTick->VAL;
/* copy out, never process here */
xQueueSendFromISR(sample_q, &s, NULL);
}
/* exercise: measure jitter, do not assume it */
uint32_t jitter = max_delta(samples, count); // µsEvery submission gets comments of this kind — specific, actionable and tied to a reason.
Built into every module
- Live debugging on your own hardware, not a shared demo.
- Code review with written feedback you can act on.
- Measured results — latency, memory, jitter, current — instead of adjectives.
- Assessments modelled on real technical interviews.
- Progress reviews at agreed checkpoints, with an honest read on where you stand.
- Project demonstrations where you explain and defend the design.
Hardware and software you will useSTM32 and ESP32-class boards, sensors, breadboards, a logic analyser, arm-none-eabi-gcc, a vendor IDE or VS Code, FreeRTOS, Git, and a Linux environment for the Embedded Linux modules.
Your learning and career workspace
Live classes, revision resources, project feedback and structured career preparation, with a pathway to assessment-based course-fee scholarships.
Our teaching team
Learn with people who build
IoT, automotive embedded systems and AI expertise, brought together through live online teaching, hardware projects and practical feedback.
Rohit Mundke
Founder & IoT Mentor
An industry-focused IoT expert who connects embedded hardware, firmware, communication protocols, and cloud applications to real-world connected solutions.
- Internet of Things (IoT)
- sensor and actuator integration
- microcontroller-based connected systems
Avi Singh
IoT & Connected Systems Mentor
An industry-focused IoT expert who helps learners turn connected-device concepts into practical prototypes through structured engineering and hands-on development.
- IoT system architecture
- embedded connectivity
- development boards
Shubham Pande
Automotive Embedded Systems Mentor
4+ years of industry experience
An industry-focused automotive expert who helps learners understand the embedded software, in-vehicle communication, diagnostics, and validation concepts behind modern vehicle electronics.
- Automotive embedded systems
- ECU fundamentals
- CAN and CAN FD
Rajveer Sharma
AI & Machine Learning Mentor
4+ years of industry experience
An industry-focused AI expert who makes AI and machine learning practical through clear concepts, disciplined experimentation, and application-led project work.
- Artificial intelligence fundamentals
- Python for AI
- data preparation
Learner outcomesEmbedded Embedded Embedded Embedded Embedded Embedded
Engineering skills. Career progress.
Explore 61 placement records reported by Embeddskills, across embedded engineering and IT roles.
Yash Thakur
Edge AI Engineer - Junior
Tata Elxsi · Bengaluru
₹22 LPA
Rohan Deshmukh
Embedded Software Engineer
KPIT Technologies · Pune
₹13.5 LPA
Vivek Nair
IoT Developer
L&T Technology Services · Pune
₹8.5 LPA
Aditya Joshi
Firmware Engineer
Tata Elxsi · Bengaluru
₹11 LPA
Varun Shetty
Embedded Application Engineer
Renesas · Bengaluru
₹8 LPA
Trisha Mukherjee
Junior Edge AI Engineer
Emerson · Bengaluru
₹21.5 LPA
CTC is annual compensation in Indian rupees. Individual outcomes vary; past results do not guarantee a job or salary.
View all placement recordsCourses & fees
Choose the route that fits your goal
Live online training, focused batches and practical hardware work. Course fees include the hardware kit and exclude GST.
Embedded Systems Basics
₹35,000
Hardware kit included · GST extra
C programming, electronics foundations, microcontrollers, GPIO, timers, UART, SPI and I²C; guided hardware project.
Ask about this courseEmbedded Systems + IoT
₹45,000
Hardware kit included · GST extra
Embedded foundations plus connected devices, MQTT, telemetry, device-to-cloud integration and an IoT project.
Ask about this courseEmbedded Systems + RTOS
₹50,000
Hardware kit included · GST extra
Embedded foundations plus FreeRTOS tasks, scheduling, queues, synchronisation and a real-time project.
Ask about this courseEmbedded Systems + Automotive
₹55,000
Hardware kit included · GST extra
Embedded foundations plus CAN, diagnostic concepts, ECU fundamentals and automotive project work.
Ask about this courseEmbedded Systems + Linux
₹65,000
Hardware kit included · GST extra
Embedded foundations plus Linux tools, boot flow, device trees, driver development and platform integration.
Ask about this courseEmbedded Systems + Edge AI
₹75,000
Hardware kit included · GST extra
Embedded foundations plus sensor data, ML preparation, on-device inference and an intelligent-device project.
Ask about this courseAdvanced Embedded Systems + IoT + Automotive
₹90,000
Hardware kit included · GST extra
Firmware, RTOS, connected systems, CAN and diagnostics with integrated project work.
Ask about this courseComplete Embedded Systems Engineering with AI
₹1,10,000
Hardware kit included · GST extra
The complete curriculum: C, firmware, RTOS, Linux, IoT, automotive, Edge AI, production engineering and career preparation.
Ask about this courseAdmissions will confirm the timetable, course-specific kit contents, delivery charges, tax invoice and payment schedule before you enrol. No payment is collected through this page.
FAQs
Practical questions, answered plainly
If something is not decided yet, the answer says so.
No programming experience is required for the flagship programme — Module 1 starts from C fundamentals. Basic comfort with a computer and a command line is expected. If you already program in another language, the first module will move quickly for you and we will confirm during the consultation whether you can start deeper into the path.
The programme is designed for Electronics, E&TC, Electrical, Instrumentation and Computer Science/IT backgrounds, plus working software engineers moving into embedded. Mechanical or other branches are welcome if you are comfortable with basic electronics concepts — we will flag anything you need to cover first.
Yes, with the right scope. Working engineers usually need a targeted plan rather than the complete beginner path. See the working professionals section, and mention your current role and goals in the consultation so we can scope it honestly.
A computer capable of running a C toolchain and a serial terminal, plus the hardware specified for your programme. Your course-specific hardware kit is included in the fee. Confirm delivery arrangements with admissions.
Regular batches are capped at a maximum of five learners. That is a structural choice, not a marketing line: it is what makes individual code review, live debugging alongside a trainer, and per-learner project feedback realistic. One-to-one training is offered separately and is a genuinely different format.
Contact admissions to choose your next available online cohort. Fees range from ₹35,000 to ₹1,10,000, including the hardware kit and excluding GST.
The indicative range is 9 to 13 months at roughly 14 to 20 total hours per week: approximately 6 hours of live sessions plus 8 to 14 hours of independent labs and study. It is not a fixed duration: pace depends on your background, how much project work you take on, and the schedule you choose. We do not claim mastery in compressed timeframes.
No. No salary, internship, job or placement outcome is guaranteed. Career support covers preparation: resume guidance, portfolio development, technical assessments, project presentation practice and mock interviews. Genuine placement assistance, where offered, will be described in specific, verifiable terms.
The website publishes institute-reported placement records. Employer names identify individual outcomes and do not establish a hiring partnership. No employer response, placement or salary is guaranteed.
Next step
Your Engineering Career Deserves More Than Just Theory.
Tell us about your background and goals. We will help you understand a suitable Embedded Systems learning pathway.
Free, no obligation. We will tell you honestly if the programme is not the right fit for your background or goals.