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Advance Certification in Internet of Things


 Advanced

INR 10000/-  INR 1999/-

What You'll Learn

Advance technologies and concept building up the IOT
Overview of communication protocols used in IOT
Creating a live IOT solution
Application layer protocols for IOT

About

IoT systems necessarily incorporate sensors that collect data from the physical world subjects them to an entirely new vector of attack. The increasing deployment of these devices has enabled new use cases for network technologies. 

Requirements

  • Good understanding of the Internet, cloud.
  • Networking concepts isgood to have, not compulsory

Course Outline

  • History of IoT
  • Introduction
  • Internet of things concepts
  • Who works on the internet of things?
  • Internet of things framework
  • Information and communication technology
  • IoT potential
  • Industrial and manufacturing o Industrial and manufacturing IoT use cases and impact
  • Consumer o Consumer IOT use cases
  • Healthcare o Healthcare IoT use cases
  • Transportation and logistics o Transportation and logistics IoT use cases
  • Energy o Energy IoT use cases
  • Government and military o Government and military IOT use cases
  • IoT Ecosystem
  • IoT architecture
  • Role of an architect o Sensing and power
  • Introduction of ARM and AVR Series Architecture, Registers, Operation modes
  • Overview of instruction Set, Interrupt Management, Exception Handling, Timers, SDKs & IDEs for firmware development
  • Peripheral Programming (UART, GPIO, ADC, SPI, I2C, etc) and Debugging techniques
  • Overview of C in view of IOT Devices
  • Introduction to Python
  • Sensing Devices
  • Thermocouple and temperature Sensing
  • Hall Effect sensor and current sensors
  • Photoelectric Sensor
  • PIR Sensor
  • Li-DAR and active sensing systems
  • MEMS Sensors
  • Connectivity protocols (when the available power is limited)
  • Bluetooth Low Energy (also called Bluetooth Smart)
  • 6LowPAN
  • Zig-Bee
  • NFC
  • Sigfox
  • Message Queue Telemetry Transport (MQTT)
  • Hyper –Text Transport Protocol (HTTP)
  • Constrained Application Protocol (CoAP)
  • Data Distribution Service (DDS)
  • Building elastic analytics
  • Elastics analytics concepts
  • Design with the endgame in mind
  • Designing for scale
  • Cloud security and analytics
  • The AWS overview
  • Exploring and visualizing data
  • The Tableau visualizing data
  • Techniques to understand data quality
  • Basic time Series analysis
  • Get to know categories in the data
  • Common mistake when design visuals
  • The Hierarchy of Question method overview
  • Pulling together the data
  • Design visual analysis for IoT data
  • Using Layout position to convey importance
  • Use colour to highlight important data
  • Creating a dashboard with Tableau
  • Creating individual views visualizing alerts
  • Machine learning (ML)
  • What is machine learning?
  • Review
  • The IoT data flow
  • IoT exploratory analytics
  • IoT data science
  • Building revenue from IoT analytics

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