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Internet of Things (IoT) Fundamentals

Course Cover

4.5

(6)

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Course Features

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Duration

15.29 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

15.29 hours

Course Description

This video title is now available in its second edition. Please go to Internet of Things (IoT) LiveLessons, 2nd Edition (Video Training): https://learning.oreilly.com/videos/internet-of-things/9780137592135/. Expert Video Instruction for 15 Hours More than 50 billion IoT devices will be connected to Internet by 2020. These connections are already enabling new business models, capabilities, applications, and business models. IoT knowledge is essential for technologists and executives alike. The IoT Fundamentals LiveLessons video course provides 10 hours of expert instruction on everything, from Aifrom sensors and connectivity to data analysis and key industry applications. It features Cisco IoT experts Robert Barton, Jerome Henry, and their core IoT technologies and components. They discuss IoT network architecture and security, demonstrate how to harness the power of IoT data flows and present important IoT applications within key vertical markets. Henry and Barton's 19 lessons are well-organized and include real examples, animations and detailed audio explanations. IoT Fundamentals LiveLessons can help you get started quickly and succeed no matter what your role is in building, using, or planning for IoT technologies. The coverage includes

  • What IoT is, and how it is changing businesses
  • Common IoT challenges, building blocks and architectures
  • Core IoT networking protocols include the 802.15.4, LPWA and LPWA families
  • Models to protect security and integrity in IoT network networks
  • IoT networks that are simple and affordable for small businesses and homes
  • IPv6 adaptions for low-power and lossy IoT networks
  • IoT management protocols, such as MQTT, CoAP, and SCADA
  • Transfer processing to the edge, and to the "fog” layer
  • Data analytics to maximize the value IoT systems
  • Analyzing IoT Data with Spark, Kafka, Spark and the Hadoop ecosystem
  • Industry-specific techniques, smart objects and protocols, as well as analytic techniques
  • IoT for utilities, smart grid and energy efficiency
  • IoT for connected and autonomous cars, mass transit and cargo transport
  • IoT for manufacturing: Lower cost and faster delivery
  • IoT for smart, connected cities: lighting and parking.
  • IoT for safer, better oil/gas production and mining

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Requires basic knowledge of Internet and networking technology

What You Will Learn

Plan, organize, build, and deploy end-to-end IoT solutions

Navigate today’s IoT product marketplace

Use maturing IoT technologies to solve many business and technical problems

Make sense of the full IoT protocol stack, from 802154 and LPWA to IPv6 adaptations and management

Architect IoT networks for maximum security and integrity

Generate meaningful intelligence from the data your smart objects capture

Compare and use batch-level and real-time streaming analytics

Improve IoT system efficiency through fog and edge computing

Leverage key IoT applications for utilities, transportation, manufacturing, smart cities, public safety, oil/gas production, and mining

Target Students

For wide audiences of IT, operations, and business professionals who want to plan for, deploy, secure, and leverage the benefits of IoT technologies

This course’s case study applications will have special appeal to professionals in a wide range of industries, including municipal and other government operations; building management; power, water, and gas utility engineering; transportation; telecommuni

Course Instructors

Jerome Henry / Rob Barton

Instructor

Jerome Henry / Rob Barton is the instructor for this course

Course Reviews

Average Rating Based on 6 reviews

4.7

83%

17%

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