Five is a limit, not a slogan
Publishing the batch size creates an expectation we can be held to. It also gives us a reason to start another batch rather than seat a sixth learner.
Embeddskills teaches Embedded Systems and Edge AI the way the work is actually done: small groups, real hardware, reviewed code, measured results and honest constraints. The teaching approach connects fundamentals with practical work: build a device, measure its behaviour, explain the design and improve it.
Our primarily online training connects learners across India with a teaching team based around Pune. Choose a focused embedded pathway or the complete engineering programme, with a hardware kit included in your course fee.
Founder of Embeddskills and an IoT mentor, helping learners connect embedded hardware, firmware, device communication and cloud applications through practical engineering work.
Connect with Rohit on LinkedInThese are the decisions that shape the product. Each one costs something — that is what makes them useful.
Publishing the batch size creates an expectation we can be held to. It also gives us a reason to start another batch rather than seat a sixth learner.
Latency, memory, jitter, current, coverage, message loss. If a claim cannot be measured on hardware, it does not go in the curriculum.
Course fees, learning scope and the teaching team are published clearly. Your timetable, kit specification and written enrolment terms are discussed before you commit.
No job, salary, internship or placement is promised. Preparation is offered; results depend on the work you put in and the market you enter.
The syllabus is published in full — prerequisites, exercises, assessments and required hardware — before any enrolment call to action.
Edge AI appears where it solves a sensing, latency or privacy constraint. It is never added to a module as a label.
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.