eduden
IoT

IoT Foundations - 30 Days Hands-On Learning Training.

Build connected devices from scratch sensors, boards, and cloud dashboards.

Admission InquiryBrochure ↓
IoT Foundations - 30 Days Hands-On Learning Training
30 Days
Duration
40 Lectures
Lectures
5 Projects
Projects
Classroom
Mode

Course Overview

Whether you're a student, maker, or aspiring robotics engineer, this course gives you the foundational skills to build smart systems using microcontrollers, sensors, and cloud-based tools. Ideal for breaking into IoT, automation, or embedded systems.

Who can join
Students (no coding/electronics background needed)
Makers, inventors, and tech hobbyists
Future robotics, electronics, or embedded engineers
Professionals switching to IoT or automation domains

What's inside the course.

01Assignments hands-on tasks like connecting sensors, setting up microcontrollers, and configuring networks for IoT solutions
02Quizzes test your understanding of IoT concepts such as cloud communication, networking protocols, and sensor integration after each module
03Live Sessions live, interactive sessions with experts to discuss IoT concepts, troubleshoot hardware issues, and enhance your projects
04Projects work on real-world IoT projects, building a complete system that connects sensors to the cloud and visualizes data on mobile dashboards

Curriculum.

6 modules · 40 lectures · 5 projects

Tools covered
ArduinoESP BoardsCloud Dashboards

Career path after this course.

Build the foundational skills to break into IoT, automation, or embedded systems. Complete the assignments and final project to earn a verifiable eduden certificate — checkable on our Verify page.

IoT EngineerEmbedded Systems EngineerAutomation Engineer
What you'll gain
Course Certificate

A digital certificate of completion from Eduden after completing all modules and submitting your final project.

100% Access on Purchase Period

Lifetime access to recorded sessions, hands-on lab assignments, and downloadable resources through the Eduden dashboard.

Ready for interviews

Upon completion of the course, students will always be interviewed to assess their skills and readiness for practical applications.

Next learning step: Networking Fundamentals, Linux Administration, or Deep Learning & Neural Networks with TensorFlow & Keras.