Course

Hands-on Internet of Things

University of Illinois at Urbana-Champaign

This Hands-on Internet of Things specialization offered by the University of Illinois at Urbana-Champaign is a comprehensive program consisting of 4 courses. It is tailored for individuals keen on delving into the realm of ubiquitous computing and IoT.

  • Gain practical experience in building autonomous networked devices and programming them.
  • Learn about wireless networking protocols and advanced IoT communication techniques.
  • Understand enterprise IoT and the protocols and technologies of wired networks.
  • Explore decentralized network topography and cloud technologies based on machine learning.

Embark on a journey that combines theoretical knowledge with hands-on experience, providing invaluable real-world skills in IoT.

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Hands-on Internet of Things
Course Modules

The Hands-on Internet of Things specialization comprises 4 courses that cover the assembly, programming, and advanced techniques of IoT devices and communications.

IoT Devices

IoT Devices course provides hands-on experience in assembling and programming networked devices, laying the foundation for subsequent advanced courses. It equips students with essential skills in building autonomous networked devices and programming them for practical applications.

IoT Communications

IoT Communications delves deeper into advanced IoT concepts, focusing on RF communication, Mesh Networking, and distributed algorithms. Students gain practical experience in enhancing device connectivity, further solidifying their understanding of IoT communication techniques.

IoT Networking

IoT Networking introduces students to enterprise IoT and the underlying protocols and technologies of wired networks. The course covers critical areas such as first-hop access, spectrum allocation, and segmentation, providing essential knowledge for effectively addressing the challenges of IoT networking.

IoT Cloud

IoT Cloud course explores decentralized network topography and cloud technologies based on machine learning. It delves into the components of networks and their functions, providing students with a comprehensive understanding of network-wide properties and goals, essential for implementing advanced IoT solutions.

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