online learning

Smart manufacturing is about increasing operational efficiency and eliminating stumbling blocks in a production system.

This is done by the convergence of modern data science techniques and artificial intelligence to form the factory for the future.

Knowledge about smart manufacturing is of prime importance for engineers and managers to enhance their capability to handle this technology



  • Students pursuing 3rd /Final Year

  • Completed Engineering graduates

Industry 4.0

Fusion of digital technologies and industry

Increased qualifications for engineering roles

Additional prospects for manufacturing jobs

Upskill your CV for new job roles in

-AI & Robotics-   -Autonomous Vehicles-

-Nano technology-   -Energy industry-

-Materials science-

This course explains concepts of industry 4.0, which is used across industries to upgrade current manufacturing, engineering, and service functions. It enables organisations to meet their quality standards effectively and efficiently.



  • Students pursuing 3rd /Final Year

  • Completed Engineering graduates

Industrial Internet of Things

Learn to improve device and machine connections

Increase your hireability in multiple industries

Increased job prospects

Higher salary range

Stand out from the competition for any job role

The course explains how different devices are connected and controlled through the internet. It focuses on the design of appropriate systems for enterprises using embedded technology. And includes the application control of PLC through HMI and SCADA.



  • Diploma & engineering graduates from 1st year on

LabVIEW Core 1 & 2

Have an overview of signal & image processing and how they are used in industries

Understand the interfacing of Input/output third party devices with LabVIEW.

Develop Real time application using LabVIEW with embedded systems & IoT.

LabVIEW (Laboratory Virtual Instrument Engineering Workbench) is a graphical Programming language “G” that uses icons instead of text based language. It is a virtual instrument or VIs. LabVIEW is used for data acquisition, signal processing, image processing, LabVIEW with MATLAB and real time control applications for industrial IoT using third party microcontrollers namely Arduino & NodeMCU.



  • 3rd year engineering graduates

  • Open to all streams

IoT Stacks

Acquired the skill set required to work with one of the popular IoT Platforms (both ESP8266 & ESP32). This should enable them work with any IoT Platform with some minimum effort.

Gained the operational knowledge required to develop with IoT Stack with various interaction patterns – Client-Server, Web, WebSocket, etc.

Understood how to maximize their productivity using the IoT resources available on the Internet

How to build new tangible skill set using the experience gained in this course.

This training workshop is designed to develop skills  to find solutions with the IoT platforms. The practice session includes some common IoT interaction patterns like Telemetry, Internet Client-Server, P-2-P, Web Client-Server, Websocket, IFTTT, Pub-Sub, etc.



  • Students pursuing 3rd /Final Year

  • Completed B.E. graduates

  • Science graduates

Introduction to Data Analytics

Analyse data  using standard tools, identify missing elements, Data wrangling and transformation

Prepare plots, charts  for Data Visualization using standard libraries in R and Python

Apply statistical techniques  for analysis to aid decision making

Exposed to basic concepts in Predictive Analytics

Has gained experience in the use of R /Python and other tools

This training program provides an approach for the study of concepts related to gathering insights from data which would enable in data driven decision making.