IoT Devices
Master IoT device programming, circuits, and architecture with hands-on Arduino and Raspberry Pi projects in this comprehensive course.
Master IoT device programming, circuits, and architecture with hands-on Arduino and Raspberry Pi projects in this comprehensive course.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Hands-on Internet of Things Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Master IoT device assembly and programming techniques
Understand electrical circuit design for IoT applications
Implement IoT protocol stacks and communication systems
Develop practical experience with Arduino programming
Gain hands-on experience with real IoT hardware
Skills you'll gain
This course includes:
6.1 Hours PreRecorded video
10 quizzes
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 modules in this course
This comprehensive course provides a deep understanding of IoT technologies from the ground up. Students learn IoT device programming using Arduino and Raspberry Pi, explore sensing and actuating technologies, study IoT protocol stacks, and gain practical experience through hands-on laboratory assignments. The course covers electrical circuit design, IoT system architecture, and platform programming, preparing students for real-world IoT development challenges.
Orientation, Basics and Lab instructions
Module 1 · 3 Hours to complete
Devices: IoT circuits
Module 2 · 2 Hours to complete
IoT Devices Architecture
Module 3 · 3 Hours to complete
Devices: Arduino Programming and Lab Submission
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Professor of Computer Science
Matthew Caesar is a faculty member at the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign, where he focuses on simplifying the management and improving the reliability of distributed systems and networks. He earned his Ph.D. in Computer Science from the University of California, Berkeley, in 2007. His research interests include the design, analysis, and implementation of large-scale distributed systems, with a particular emphasis on network operations, measurement, and availability. Dr. Caesar aims to enhance the performance and availability of Internet infrastructure components such as routing, DNS, and data centers. He teaches various courses related to the Internet of Things and computer networking, including CS 437 (Topics in Internet of Things) and ECE 435 (Computer Networking Laboratory).
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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.