This course is part of Hands-on Internet of Things Specialization.
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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English
ଓଡ଼ିଆ
What you'll learn
Understand network device architectures and configurations
Implement cloud-based machine learning for IoT applications
Design robust physical infrastructure solutions
Master decentralized network topographies
Deploy and maintain IoT systems in various environments
Skills you'll gain
This course includes:
2.6 Hours PreRecorded video
6 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course focuses on advanced IoT cloud technologies and network infrastructure. Students explore various networking devices, including routers, switches, and firewalls, learning their configuration and deployment. The curriculum covers physical infrastructure considerations, from cable ratings to EMI shielding and marine applications. Through hands-on labs, learners implement cloud-based machine learning solutions for IoT systems while mastering decentralized network topographies. The course emphasizes practical applications in real-world environments.
Course Orientation and Networking Devices Part 1
Module 1 · 5 Hours to complete
Infrastructure: Networking Devices Part 2
Module 2 · 4 Hours to complete
Infrastructure: Physical Infrastructure and Wiring (Part 1)
Module 3 · 4 Hours to complete
Infrastructure: Physical Infrastructure and Wiring (Part 2)
Module 4 · 4 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Hands-on Internet of Things Specialization
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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