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Overview

The Internet of Things course offered by Cognixia introduces participants to advanced IoT concepts, methodologies, and protocols used for communication. This includes next-generation, IoT-friendly applications, physical-layer protocols, and widely accepted IoT frameworks and standards. The program covers popular, service-rich cloud platforms and focuses on how to build and deploy IoT solutions. Practical use-cases and case studies are included to ensure that the participant develops an ability to work through real-life scenarios.

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What you'll learn

  • IoT technology and tools
  • Core concepts and background technologies
  • Features of the IoT landscape
  • Sensors, microcontrollers and communication interfaces to design and build IoT devices
  • Designing and building a network based on the client server
  • Publishing/subscribing to connect, collect data, monitor and manage assets
  • Writing device, gateway and server-side scripts and apps, enabling them to aggregate and analyze sensor data
  • Selecting application-layer protocols and web services architectures for a seamless integration of various components within an IoT ecosystem
  • Reviewing standard development initiatives and reference architectures
  • Deploying various types of analytics on machine data to define context, find faults, ensure quality and extract valuable actionable insights
  • Cloud infrastructure, services, APIs and architectures of commercial and industrial cloud platforms
  • Prevalent computing architectures, including distributed, centralized, and edge/fog computing

Prerequisites

Cognixia’s Internet of Things course is designed for professionals with a basic understanding of electronic circuit design, microcontrollers, and programming languages, as well as knowledge of computer fundamentals.

Curriculum

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  • Concepts & Definitions – Internet of Things – history and evolution, IoT use cases, economic potentials, Future trends
  • IoT Network, Device, Platform and Application Architecture, Open source initiatives, Industry 4.0, Reference Architecture, Reference Architectural Model Industrie 4.0, IIRC, Industrial Internet Consortium (IIC), Industrial Internet Reference Architecture (IIRA)
  • Sensors – Classification & selection criteria based on nature, frequency and amplitude of signal
  • Microcontroller and SoCs – Selection criteria, Leading manufactures
  • Greenfield and Brownfield development – Challenges and Solutions
  • Embedded Development Boards – Arduino, Raspberry Pi, NodeMCU
  • Interfacing peripherals & Programming GPIOs – Input/output peripherals, Sensor modules
  • Design Considerations – Cost, Performance & Power Consumption tradeoffskl.,
  • IoT networks, protocol stacks
  • Emergence of low-power, long-range data link layer technologies
  • Wired Communication Protocols – UART, USART, I2C, SPI
  • Wireless Communication Protocols – Bluetooth, WiFi, Overview of LPWAN (LoRa, NBIoT)
  • Networking Protocols – OSI Reference Model, TCP/IP
  • Application Protocols – HTTP, MQTT
  • IoT network architecture – Client-Server vs Publish-Subscribe
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Course Feature

duration Course Duration
24x7 24x7 Support
access Lifetime LMS Access
gurantee Price match Gurantee

FAQs

Internet of Things has a huge scope of growth for IT professionals, electrical and electronics engineers, designers and solution architects. It is a blessing for existing and budding entrepreneurs who are interested in building smart solutions for their customers. Professionals working in sectors such as pharmaceuticals, real estate, sales, finance, designing, manufacturing, electrical equipment, retail, healthcare, etc. can also benefit from learning about IoT solutions. Fresh graduates and newcomers can also start their career on the right foot with an Internet of Things certification.
As part of this course, each participant is provided with a special IoT kit. The kit includes all the necessary parts and components to learn and perform practical exercises taught during as part of the course. This kit is shipped to the address you provide, and will reach you before the course starts. The kit contains: Raspberry Pi 3, Arduino Mega (ATMega2560) with USB cable, Memory Card, HDMI – VGA Converter, 2A Power Adapter, Sensors – Analog temperature sensor (LM35), IR Proximity Sensor, Breadboard, LEDs, Resistors, Connecting leads, WiFi – ESP01, Bluetooth – HC05, NodeMCU
You’ll have lifetime access to our Learning Management System (LMS), including class recordings, presentations, sample code, and projects. You’ll also be able to view recordings of each session. We also have our technical support team ready to assist you with any questions you may have.
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