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Introduction to Internet of Things

Master the fundamentals of IoT technologies, from sensors and networking to data analysis and implementation.

Master the fundamentals of IoT technologies, from sensors and networking to data analysis and implementation.

This comprehensive course from IIT Bombay covers essential aspects of Internet of Things (IoT) technology. Students learn about IoT architecture, sensor integration, networking protocols, and data analysis techniques. The curriculum includes practical implementations using Python, hands-on demonstrations with various sensors, and real-world applications across multiple domains.

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Introduction to Internet of Things

This course includes

14 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

Audit For Free

What you'll learn

  • Master core IoT principles and characteristics

  • Implement sensor integration and interfaces

  • Design IoT networking solutions

  • Analyze IoT data effectively

  • Develop practical IoT applications

  • Understand IoT architecture design

Skills you'll gain

Sensors
Data Analysis Techniques
Messaging Protocols
Internet of Things
Sensor Readout
IoT Architecture
Network Protocols
Python Programming

This course includes:

336 Minutes PreRecorded video

17 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This comprehensive IoT course covers four key modules: IoT fundamentals and architecture, sensors and interfaces, networking of IoT nodes, and data analysis. The curriculum combines theoretical knowledge with practical applications, preparing students for real-world IoT implementation through hands-on exercises and case studies.

Internet of Things (IoT): An Introduction

Module 1 · 3 Hours to complete

Sensors & Interfaces

Module 2 · 4 Hours to complete

Networking of IoT Nodes

Module 3 · 4 Hours to complete

Data Analysis for IoT

Module 4 · 3 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructors

Prof. Gaurav S. Kasbekar
Prof. Gaurav S. Kasbekar

4.5 rating

10 Reviews

2,164 Students

1 Course

Distinguished Network Security and Wireless Communications Expert at IIT Bombay

Gaurav S. Kasbekar serves as an Associate Professor in the Department of Electrical Engineering at IIT Bombay, bringing extensive expertise in wireless networks and network security. His academic journey includes a B.Tech in Electrical Engineering from IIT Bombay (2004), an M.Tech in Electronics Design and Technology from IISc Bangalore (2006), where he received the prestigious CEDT Design Medal, and a Ph.D. from the University of Pennsylvania (2011). His professional experience includes roles as a Research Intern at Microsoft Research Cambridge and Engineer at Ittiam Systems. His research focuses on critical areas including wireless network design, cognitive radio networks, drone communications, and IoT security. He leads several significant research projects, including MeitY-sponsored research on 5G and beyond, and an Arista Networks-sponsored project on WiFi security. His contributions to the field have been recognized through various awards, including an Honorable Mention at COMSNETS 2015 and the Best Paper Award (Runner Up) at the National Conference on Communications 2022

Prof. Laxmeesha Somappa
Prof. Laxmeesha Somappa

4.5 rating

10 Reviews

2,164 Students

1 Course

Distinguished Microelectronics Expert and Neural Interface Systems Researcher

Laxmeesha Somappa serves as an Assistant Professor in the Department of Electrical Engineering at IIT Bombay, bringing extensive academic and industry experience to his role. His academic credentials include a Ph.D. from IIT Bombay and an M.Tech in Microelectronics and VLSI from IIT Madras. His research experience was enriched through visiting scholar positions at the University of Cambridge, UK, and a postdoctoral fellowship at EPFL, Switzerland, and the Centre for Neuroprosthetics, Geneva. Before entering academia, he gained valuable industry experience as a Consulting Engineer at Qualcomm and as a Memory Modelling and Verification Engineer at Tata Elxsi in Bangalore. His current research focuses on cutting-edge areas including neural interface SoCs (System-on-Chip), Sigma Delta ADCs (Analog-to-Digital Converters), and neuromorphic computing. His work has been widely recognized, with numerous publications in prestigious journals and citations in the field of microelectronics and neural interface systems.

Introduction to Internet of Things

This course includes

14 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

Audit For Free

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

5 course rating

28 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.