"Stop Learning Only Theory.
Start Building Real Embedded & IoT Products."
Most embedded courses stop at microcontrollers and protocols. This program goes further — you build 10 real AI-powered Embedded & IoT hardware products, deploy Edge AI on actual devices, and connect them to cloud dashboards — in 12 weeks.
Graduates enter the workforce with a GitHub portfolio, a verified certificate, and an internship credential — ready for roles paying ₹8L–₹30L PA.
✓ Live sessions · Recorded access · Same fee for both modes
Traditional embedded courses teach microcontrollers, Embedded C, and communication protocols. That foundation matters — but it no longer differentiates you in the job market. This program teaches what comes next: Embedded AI, IoT product development, Edge AI systems, and smart device design — all through the act of building real hardware products.
Embedded AI refers to the integration of artificial intelligence algorithms directly into embedded hardware devices — such as microcontrollers, edge processors, and IoT nodes. Unlike cloud-based AI, embedded AI allows devices to analyse sensor data, recognise patterns, and make autonomous decisions entirely on the device, without relying on internet connectivity or remote servers. Applications include wearable health monitors, industrial predictive maintenance systems, smart agriculture sensors, EV battery management systems, and smart city air quality networks. Engineers who can build these systems are among the most in-demand technical professionals in India today.
"The engineers who will lead India's next decade are not the ones who read about embedded AI — they are the ones who built real Embedded & IoT products while everyone else was still in theory class."
Every tool in this curriculum is used to build a real product during the program. No tool is taught in isolation — each is applied to firmware, Edge AI, IoT connectivity or cloud integration within the same week it is introduced.
Every week has a specific deliverable — a working, tested, deployed product or system. The curriculum is structured in three phases: Foundation, Product Development, and Capstone.
A certificate backed by 10 deployed hardware products on GitHub and a university-compliant internship credential — two documents that speak to two different audiences: employers and universities.
The embedded AI & IoT skill set is domain-agnostic. The same firmware and Edge AI skills that apply to EV battery systems also apply to healthcare wearables and industrial automation. One program opens four distinct career trajectories.
Not educators who teach from slides — engineers, founders, and systems builders who have shipped real products in wireless infrastructure, IoT, and hardware product development.
One investment. 12 weeks. 10 real products. Two certificates. A career that pays for itself in the first month of employment.
✓ Online mode: Live sessions + full recording access · Same curriculum, same certificate, same fee
Technical articles written to help ECE students, freshers, and working engineers understand the domain — and make informed decisions about their careers in embedded AI and IoT product development.
12 weeks from now you could have 10 real deployed products, a verified Course + Internship certificate, and a career in India's fastest-growing engineering domain — embedded AI and IoT.
📞 +91-98860-94611 · WhatsApp or Call · Bangalore · Reply within 24 hours