Industrial Internet of Things (IIoT) – Beginner level

Course Overview

Workplace safety enhancement with IIoT. The internet of Things (IoT) is renovating our physical world into a vibrant system of connected devices on an unprecedented scale. Advances in technology are making possible more widespread adoption of IoT, from button-shaped micro-cameras that can pinpoint thousands of images within the body, to smart sensors that can trigger timely maintenance of vehicles in Logistics, assess crop conditions on a farm for Agriculture, trigger fire alarms on CI2 , NH3, gas, crude or refined oil leak in chemical plants, ONG plants, trigger alarm on detaining health of elderly to the smart home devices that are becoming increasingly popular.

Who is this course for?

  • Industry personals, who are bored to see analog meters,
  • Engineers, who expect accuracy in their measurements.
  • Technicians, who are bored in noting down the value in a specific time of inter-val.

Duration: 14 hrs – 2 days

Prerequisites:

Beginner Friendly – Introduction course, Knowledge of Basic programming in python is required.

Mode of Delivery:

Trainer led Virtual Live Class (VLC)

Learning Outcome

  • How to integrate a sensor and collect live data?
  • How to analyze and interpret the collected data?
  • How to import and export the collected data?
  • How to schedule uplink/downlink of data from the developed UI?

Course Outline

  • Introduction to IoT
  • What is the difference between IoT and IIoT?
  • Integration of sensors to various industrial components/machineries
  • Creating simple UI based applications.
  • Basic programming languages used for sensor / component integration.
  • Expanding and integrating one or more sensors using a single MCU
  • Data analytics/Data visualization on cloud to gain insights.
  • Hand-on practice with Open-source devices

Facilitation Approach

  • Theory (60%) – Knowledge, Comprehension & Discussion 
  • Practical (30%) – Role-play, Group Discussions, Visual aids & case study
  • Reflection: (10%)
  • Trainer: Trainee Ratio: 1:15