Why Industrial Internet of Things?

Industrial IoT and Industry 4.0 have created massive shifts in manufacturing that have led to enterprises adopting more agile, smarter, and innovative methods to enhance production with robotics. This has reduced the chance of a process failure causing an industrial accident.

Industrial IoT is fueling the next industrial revolution of intelligent connectivity by bringing digital transformation to the traditional way of doing business in order to improve efficiency and reduce downtime. New-age technologies present promising career opportunities now and in the foreseeable future. For the business to be competitive and ready to take on the challenges of the future, this is the perfect time for students to acquire the skills in IIoT technology for professional growth.

JG University enables professionals and enterprises to succeed in the fast-changing digital economy. The University provides outcome-based online training across digital technologies and applications such as Industrial Internet of Things, Big Data, Machine Learning, AI, Cloud Computing, Cyber Security, Digital Marketing and other emerging technologies.

The University’s Blended Learning curriculum combines self-paced online learning, instructor-led live virtual classrooms, hands-on projects, student collaboration and 24/7 global teaching assistance.


The global IIoT market is expected to reach a value of USD 1,386.06 billion by 2026 from USD 761.4 billion in 2020 at a growth rate of 10.53%, during the period 2021-2026.

With the development of wireless networking technologies, the emergence of advanced data analytics, a reduction in the cost of connected devices and an increase in cloud platform adoption, the market is expected to grow at a very high positive rate

In today’s competitive and connected business world, compiling, producing and managing the machine data at a rapid rate is the need, which has generated employment potential

Industry Remuneration

Salary In India

The average salary varies from ₹ 7,00,000 to ₹ 24,00,000 per annum.

Salary In US

The average salary varies from 66,000 USD to 150,000 USD per annum.

Who Can Apply?

Programme Overview


  • Introduce participants to the world of Industrial Internet of Things (IIoT) and empower them to solve real-world problems with IIoT solutions
  • In-depth knowledge of IIoT principles and protocols, data transmission techniques across various layers of IIoT, the state-of-the-art models and algorithms used for sensor, and machine data processing using latest cloud technologies
  • Comprehensive knowledge of Drone technology and its Use-Cases
  • Thorough knowledge of IIoT platforms, and mobile applications in IIoT
  • Impart Hands-on experience with IIoT Use-Cases using advance technologies for better employment opportunities


Clarity and understanding of Industry 4.0, IIoT Architecture and real-life use of IIoT platforms, protocols and communication network concepts

Detailed understanding of cloud computing concepts including cloud deployment and cloud services model

Development with ThingsBoard IIoT platform and expertise in managing security aspects of IIoT

Drone technology’s skill acquisition and its implementation for industry benefits

Ability to build and implement mobile applications to identify, track and establish bi-directional communication with sensors, devices and machines using various communication technologies

Competency to efficiently manage complex IIoT projects

Course Commencement

Delivery Mode



Programme Duration

12 Months

Scholarship Fee

Area of Study

Data science AI-ML

Job Opportunities

  • IIoT Developer
  • IIoT Embedded Program Engineer
  • IIoT Architect
  • IIoT Solution Engineer
  • IIoT Data Analyst

Key Industry Verticals Industrial IoT is prominent


Government and public sector services

Manufacturing and Production

Manufacturing and Production Industry

Information Technology

Information Technology, ITeS








Educational sectors


Transportation and Logistics

Supply Chain

Supply Chain





Programme Outline

Module 1- Introduction to IoT Fundamentals

  • Understanding concepts of Internet of Things such as the evolution of IoT, areas of impact, application of IoT and the relationship between IoT and IIoT
  • Apply the acquired learning with Hands-on session and case-studies

Module 2 - Industrial Internet of Things

  • Understanding the basics of IIoT, its real-world benefits, and getting knowledge of working on GitHub, Docker, Linux and Python in IIoT
  • Apply the acquired learning with Hands-on session

Module 3 - Layers of IoT, IoT Architecture, Communication Protocol

  • Understanding the concepts of seven layers of IoT, IoT architecture and getting knowledge on widely used network and communication protocols such as MQTT, HTTP, Zigbee, LoRaWAN, Modbus, LiFi, etc which are used in IoT
  • Apply the acquired learning with Hands-on session

Module 4 - Usage of Sensors, Actuators, and Controllers

  • Understanding of various types of sensors, actuators, Arduino board specifications, and raspberry board specifications for IIoT
  • Hands-on experience of working on with Sensors, Actuators, and microcontrollers

Module 5 - Machine Connectivity and Control Systems

  • An in-depth understanding of identification of machines, machine-to-machine communication & control systems, Industrial Data Flow within devices & systems
  • Apply the acquired learning with Hands-on session

Module 6 - Edge/Fog Computing in IIoT

  • Comprehensive understanding of basics of edge computing, its usage, working of AWS, Free-RTOS and Green-Grass
  • Apply the acquired learning with Hands-on session

Module 7- Usage of Cloud and Analytics in IIoT, Role of Security in IIoT and Big Data in IIoT

  • Comprehensive understanding of various concepts in cloud computing, including data retrieval, data transfer, data process and storage, and security of Device, Cloud & Network
  • Hands-on sessions on AWS Cloud Security & IIoT services

Module 8- Introduction to IIoT Platform

  • Comprehensive understanding of different concepts of IIoT platform such as Things-Board Open Source IIoT Platform, Thing-speak software, Node-red open platform source, MQTT broker & AWS IoT simulators and PCB Altium designer
  • Apply the acquired learning with Hands-on session

Module 9- Data Visualization

  • Comprehensive understanding of Data Visualization using Power BI and Grafana
  • Apply the acquired learning with Hands-on session

Module 10- Advanced Mobile App Development

  • Understanding the role of Mobile Applications in IIoT and its related areas such as Android platform, Android SQLite Database, Android Bluetooth Low Energy (BLE) implementation, Mobile application development using MIT app inventor, automation & workflow of IFTTT app
  • In-depth knowledge of developing mobile applications for various use cases using mobile application development software and learning integration of mobile applications with the devices
  • Apply the acquired learning with Hands-on session

Module 11- Programming for Microcontrollers

  • Comprehensive understanding of programming for microcontrollers using different languages such as Arduino, Python and Java
  • Apply the acquired learning with Hands-on session

Capstone project – 1 based on the above Learnings

Module 12- Usage of NFC and RFID Protocols and Devices

  • Understanding the concepts and application of Radio Frequency Identification (RFID), Near Field Communication (NFC), Android RFID Implementation and BLE device-based asset tracking
  • Apply the acquired learning with Hands-on session

Module 13- Control systems in IIoT

  • In-depth understanding of the three types of control systems in IIoT i.e., Voice control, Remote control and Automation, along with the specific software and hardware used for each type
  • Apply the acquired learning with Hands-on session

Module 14 - Features of IIoT

  • Understand the various features of IIoT such as scalability & hybrid systems, low latency & reliable wireless communication, Network control system and 5G connectivity for automation
  • Apply the acquired learning with Hands-on session and case-studies

Module 15 - Introduction to AI and ML in IIoT

  • Understanding the basic concepts of integration of AI & ML in IIoT, building up of AI/ML algorithms using time series data, Data Analytics and Data Modeling in Minitab
  • Apply the acquired learning with Hands-on session

Module 16 - Blockchain in IIoT

  • Understanding Blockchain technology concepts such as ledger-based technologies, tokens, security of IIoT, utility, Initial currency offering (ICO) and blockchain algorithms
  • Apply the acquired learning with Hands-on session

Module 17 - Drone Technology

  • Detailed understanding of Drone technology covering the types of Drones, use of Drones in the industries, and building an application using Drone Technology
  • This module also includes Drone pilot training
  • Apply the acquired learning with Hands-on session

Module 18 - IIoT for Smart Industries

  • Understanding the concepts of IIoT-based manufacturing sectors such as factory models, single-server queues & queuing networks, Automated Production lines, Flexible manufacturing cells and systems, Optimization of layouts and solving reactive scheduling problems
  • Knowledge of hardware specifications using the IIoT development kit useful for smart Industries
  • Apply the acquired learning with Hands-on session and case-studies

Capstone Project – 2 based on the above Learnings



Mr. Sathish Narayanan Programme Director

Mr. Sathish Narayanan is a visionary leader with 23+ years of notable contribution in the entire gamut of delivering executive-level consulting to service & manufacturing organizations. Mr. Narayanan’s areas of expertise are Supply chain COE, Manufacturing Excellence – ZERO Loss/ ZERO Waste/ ZERO Inefficiencies, Organizational Excellence – People Capability/Talent Development/ Coaching, Data Analysis – Minitab/ Value stream mapping, DNA – Distributor Network Analysis/ Network Design and more. Mr. Narayanan has also been rewarded with the prestigious Shell “Role Model Award”, “LSS Leadership Award”, and Wow “Leadership Award” with Intuit Inc.

Why JG University?

  • Faculties with Industry Expertise and Academic Experience
  • Hand-on Industry Use-Cases using advance technologies in Digital Lab
  • Capstone Projects – Working with Industries
  • Full-Time access to “Cyber Bay” Cyber Range
  • State-of-the-art Industrial IoT Lab with Drone technology experience
  • World Class Tech-Enabled Digital Library
  • Cross Cultural & Cross Sectoral Internship
  • Collaboration with Foreign Universities
  • Roof Top Cafeteria

Admission Process

Our Admission process enables us to meticulously give importance to every individual applying. The admission of the applicant will majorly be based on our admission process scores.