About Internet of Things Training

Today computers -- and, therefore, the Internet -- are almost wholly dependent on human beings for information. Nearly all of the roughly 50 petabytes (a petabyte is 1,024terabytes) of data available on the Internet were first captured and created by human beings by typing, pressing a record button, taking a digital picture or scanning a bar code. The problem is, people have limited time, attention and accuracy -- all of which means they are not very good at capturing data about things in the real world. If we had computers that knew everything there was to know about things -- using data they gathered without any help from us -- we would be able to track and count everything and greatly reduce waste, loss and cost. We would know when things needed replacing, repairing or recalling and whether they were fresh or past their best.” IPv6’s huge increase in address space is an important factor in the development of the Internet of Things. According to Steve Leibson, who identifies himself as “occasional docent at the Computer History Museum,” the address space expansion means that we could “assign an IPV6 address to every atom on the surface of the earth, and still have enough addresses left to do another 100+ earths.” In other words, humans could easily assign an IP address to every "thing" on the planet. An increase in the number of smart nodes, as well as the amount of upstream data the nodes generate, is expected to raise new concerns about data privacy, data sovereignty and security. Although the concept wasn't named until 1999, the Internet of Things has been in development for decades. The first Internet appliance, for example, was a Coke machine at Carnegie Melon University in the early 1980s. The programmers could connect to the machine over the Internet, check the status of the machine and determine whether or not there would be a cold drink awaiting them, should they decide to make the trip down to the machine.


Course Duration

30 Working days
8 Weekends



Delivery Mode

Classroom Training

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Engineering Students
Working Professionals
Industry Experts
Post Graduate Students
Embedded Developers
People looking to enhance their Skillsets


IoT & Data logging

  • Sensor data retrieval.
  • Introduction to ESP8266 and Photon.
  • Programming Photon board.
  • Tinkering Photon Board.
  • Flashing new firmware to ESP8266.
  • Programming in ESP8266
  • Data logging with Python & Node.JS
  • Uploading data to IoT cloud.
  • Calibration & Graphing / Visualization

IoT & access

  • Arduino interfacing with Bluetooth
  • Arduino interfacing with NRF2401+
  • Programming in lua with ESP8266
  • Creating Dashboards in IoT server
  • Introduction to cc2650 Ti chip
  • Sensor data logging in cc2560 Ti chip
  • Working with Blynk
  • Creating Dashboard for ESP8266 & Photon with Blynk

Importing and linking graphics

  • IoT meets cloud
  • Introduction to Temboo, Carriots.
  • Introduction to Thingspeak, IBM BlueMIX, Iot-Playground.
  • Setting dashboard for our IoT product
  • Access/Control of devices with IoT environment.
  • Industrial Case studies.
  • Job Opportunities in IoT.