Embedded Systems Engineering with AI
Online training · hardware kit included · GST extra. Choose your course scope and timetable with admissions.
Indicative: 9–13 months at 14–20 total hours per week, learner pace dependent. Study effort includes live teaching, labs and independent work. Your actual live hours and timetable are confirmed with your cohort.
Module overview
| Module | Combined study effort |
|---|---|
| 1. C Programming for Embedded Work | 60–80 hours |
| 2. Embedded Systems Foundations | 50–70 hours |
| 3. Firmware Development on ARM Cortex-M | 70–90 hours |
| 4. RTOS and FreeRTOS | 60–80 hours |
| 5. Embedded Linux and Device Drivers | 80–110 hours |
| 6. Communication Protocols and IoT | 50–70 hours |
| 7. Automotive Embedded Systems (elective) | 45–65 hours |
| 8. Embedded AI and Edge Intelligence | 70–90 hours |
| 9. Production Engineering | 35–50 hours |
| 10. Career Preparation | 30–40 hours |
Entry requirements
Basic computer skills; no prior programming required for the first module. Electronics preparation assessed during consultation. A computer with at least 8 GB RAM, stable internet, and programme-specific hardware are required. Python and introductory ML preparation are needed before Edge AI work.
Assessment & outputs
Reviewed code, practical exercises, waveforms, test reports and a demonstrated capstone. Full topic lists, software, hardware and assessment requirements are available in the online curriculum.
Course fees
Embedded Systems Basics ₹35,000; Embedded Systems + IoT ₹45,000; Embedded Systems + RTOS ₹50,000; Embedded Systems + Automotive ₹55,000; Embedded Systems + Linux ₹65,000; Embedded Systems + Edge AI ₹75,000; Advanced Embedded Systems + IoT + Automotive ₹90,000; Complete Embedded Systems Engineering with AI ₹1,10,000. Hardware kits are included and GST is extra.
Course hours include independent work. Certificate eligibility is based on attendance, assessments and project completion. Training is primarily online. No placement or salary guarantee.