The Embedded IoT Specialist Course is designed to develop expertise in building intelligent, connected embedded systems. It covers microcontrollers, embedded programming, sensors and actuators, communication protocols, and cloud integration for IoT applications. Through hands-on labs and real-world projects, learners gain practical experience in developing secure, low-power, and scalable IoT devices. This course bridges embedded systems and IoT technologies, preparing participants for industry-relevant roles in smart devices, automation, and Industry 4.0 solutions.
- 900 Hours (2 hours/day x 6 days/week x 75 weeks) OR at your own pace
- Hindi, English
- Learn & Get Certified
- Basic & Intermediate
- Hands-On Training
About this course
The Embedded IoT Specialist Course is a 30-hour advanced training program.
It is designed as an extension for learners who have already completed the 152-hour IoT Engineer Master Course, bringing the total program duration to 182 hours and enabling students to advance from general IoT development to professional-level embedded engineering.
Through a blend of theory and hands-on practice, learners develop deeper skills in Embedded C programming, register-level control of GPIO, timers and ADCs, low-power optimization, RTOS fundamentals, PCB design using EasyEDA, and hardware debugging tools such as multimeters and logic analyzers. The training also covers sensor calibration, interface testing, and structured hardware validation workflows used in industry.
The course culminates in practical development exercises where learners design and build their own custom PCB-based IoT device or a low-power sensor node with deep-sleep functionality, integrating both firmware and hardware.
By the end of the program, participants are prepared to:
-contribute to embedded IoT product development,
-support hardware–firmware co-design, and
-work confidently on professional embedded systems engineering tasks.
This course provides essential knowledge and practical training to build industry-relevant skills.
- Fees:
₹35,000₹23,000 (incl. GST) (Excluding tools & equipment cost) - Certification: ESSCI
- Duration: 900 Hours (2 hours/day x 6 days/week x 75 weeks) OR at your own pace
What you'll learn
After this course you will be able to:
- Learn how to make hardware come alive by writing software that directly controls sensors, motors, and microcontrollers.
- Understand how real-time systems work — where even a delay of a few milliseconds can change the outcome!
- Explore how to program memory-constrained systems that run efficiently with limited resources.
- Gain skills to connect devices through the Internet of Things (IoT), enabling smart and automated systems.
- Get hands-on experience in C/C++ programming, debugging tools, and embedded operating systems.
- Learn how embedded software powers everything — from automobiles and drones to medical devices and robots.
- Design mini-projects that turn everyday electronics into intelligent, interactive devices.
Course Content
Why take this course?
This course is designed to build expertise at the intersection of embedded systems and Internet of Things technologies. You will learn to develop intelligent edge devices by integrating microcontrollers, sensors, communication protocols, and cloud platforms with efficient embedded software. The course emphasizes hands-on development of secure, low-power, and scalable IoT solutions used in smart manufacturing, healthcare, automotive, agriculture, and smart infrastructure. As industries increasingly adopt connected and autonomous systems, this course prepares you for specialized, high-demand roles in embedded IoT design, deployment, and innovation.
How to use online TCoE platform?
Tools and Equipment required
National Skill Development Mission
Module 1: Introduction and orientation to the role of an Embedded Software Engineer
This module is to discuss the job role of an Embedded Software Engineer
Module 2: Process of developing embedded system software
- Describe the process of identifying the work requirement.
- Demonstrate the process of identifying the embedded system design specifications.
- Demonstrate the process of developing software for embedded system.
- Explain the importance of completing documentation.
Module 3: Basic Health and Safety Practice
Apply health and safety practices at the workplace.
Module 4: Employability Skills
- Discuss about Employability Skills in meeting the job requirements
- Describe opportunities as an entrepreneur.
- Describe ways of preparing for apprenticeship & Jobs appropriately.
Module 5: On-the-Job Training
Build a fully functional basic drone
ENROLL TODAY & GET 30% OFF ON ALL COURSES
Your Future Can’t Wait, Enroll Now and Save 30% On All Courses. Hurry Up Offer valid Till Diwali
Related Courses
See what our students have to say
With over a decade of experience, our mission is to produce future-ready skilled resources.
Real-Time Embedded Systems Development
This area of the course focuses on designing and programming systems that respond instantly to real-world events — like automotive control units, medical devices, and IoT gadgets. Learners explore real-time operating systems (RTOS), interrupt handling, task scheduling, and low-level hardware interfacing, gaining hands-on experience in building efficient, reliable, and time-critical embedded applications.
Job Opportunities
Here are some interesting job opportunities after completing the Embedded Software Engineer course:
Embedded Systems Developer – Design and program software that runs directly on microcontrollers and embedded devices.
Firmware Engineer – Develop and optimize low-level code for devices such as wearables, smart appliances, and automotive systems.
IoT Solutions Engineer – Build and integrate connected smart devices for home automation, healthcare, and industrial IoT applications.
Automotive Embedded Engineer – Work on advanced vehicle systems like engine control units (ECUs), ADAS, and infotainment systems.
Robotics Programmer – Develop embedded control systems for robots, drones, and automated machinery.
Embedded Test Engineer – Design testing procedures and debugging tools to ensure system reliability and safety.
Embedded AI Engineer – Implement lightweight AI models on edge devices for intelligent data processing and automation.
Frequently asked questions
What are embedded systems, and why are they important to learn about?
Embedded systems are like the brains of devices. Learning about them is important because they’re everywhere, offer job opportunities, make things work efficiently, drive innovation, and teach problem-solving skills.
How can online courses help you learn about embedded systems?
Online courses are helpful for learning embedded systems because they offer flexibility, hands-on experience, and up-to-date content.
What skills or experience do I need to already have, before starting to learn embedded systems?
Before learning embedded systems, it’s helpful to have basic programming, electronics, math, and problem-solving skills, but you can start as a beginner too.
What kind of people are best suited for work that involves embedded systems?
People best suited for embedded systems work are analytical, detail-oriented, curious, persistent, and tech enthusiasts who can work in teams and adapt to change.
Is the training course available online or in-person?
Both modes are offered depending on the learner’s flexibility. May contct us directly to discuss more details.