online learning
SMART MANUFACTURING
ONLINE COURSES
cover_industryfour.jpg

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

cover_industryfour.jpg

Eligibility

  • 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.

 
cover_industryinternet.jpg

Eligibility

  • 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.

 
labview.jpg

Eligibility

  • 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.

 
stacks.jpg

Eligibility

  • 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.

 
dataanalytics.jpg

Eligibility

  • 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.

 
iotia.jpg

Eligibility

  • Students pursuing 3rd /Final Year

  • Completed B.E. graduates

  • Science graduates

IOT in Industrial Automation

  • All the automation elements are trained in both Hardware connection demonstration and Software programming domains

  • Case studies will be based on real time industrial examples

  • The course is delivered through simulations for different applications and detailed procedure to develop programming in a step by step process.

  • End of Module Assessments enable instructor to ascertain whether students have understood the program

  • Student feedback helps tweak the course content

The IOT in Industrial automation program is aimed at equipping the prospective Engineers with details on IOT & IIOT concepts, components and Industrial applications, Various automation tools and their data communication with PLC & Arduino.

 
python_machinelearning.jpg

Eligibility

  • Students pursuing 3rd /Final Year

  • Completed B.E. graduates

  • Science graduates

Machine Learning Using Python

  • End of the Course the learners can build a Machine Learning model by themselves

  • Hands-on practical sessions

  • Real-world case studies

  • Interactive visualizations of algorithms

  • Module wise Assessments enable instructor/Learner to track & judge Learner’s knowledge level

Over the last few years machine learning has become embedded in a wide variety of day-to-day business, nonprofit, and government operations. The application of machine learning methods has in recent years become ubiquitous in everyday life. From automatic recommendations of which movies to watch, to what food to order or which products to buy, to personalized online radio and recognizing your friends in your photos, many modern websites and devices have machine learning algorithms at their core.

 
robotics.jpg

Eligibility

  • Students pursuing 3rd /Final Year

  • Completed B.E. graduates

  • Science graduates

Robotics Basics

  • Convert a Python Script into Web application

  • Improve the User Interface in Web application

  • Build the real time web applications (Website).

  • Deploy the Python web application into Google App Engine

  • Assignments based on the real time Application

The robotics program is aimed at equipping the prospective Engineers with details on automation elements like robotics in the order fulfilment process of knowledge expectations from the industry. The topics in the theory sessions will be explained with PPTs, relevant videos and Industrial applications examples through simulation

 
smart devices.jpg

Eligibility

  • Engineering graduates ECE  - (From 2nd Year onwards)

  • Basic programming skill

  • Basic Electronics knowledge

IoT Using Smart Devices

  • Arduino Programming steps are explained with real time industrial applications.

  • The course is delivered through Arduino and different types of sensors.

  • End of Module Assessments enable instructor to ascertain whether students have understood the program

  • Assignments based on the real time Application.

  • Student feedback helps tweak the course content

In this course, we will start off by understanding exactly what is IoT; then we will understand the evolution of the internet, going ahead we will understand the architecture of IoT, and finally, we will look at some really interesting applications of IoT. Finally, we will look at some real-world examples of IoT that can be created using these Arduino

 
cloudcomputing.jpeg

Eligibility

  • Engineering graduates (From 2nd Year onwards)

  • Basic programming skill

  • Basic Electronics knowledge

IoT Using Cloud Computing

  • Arduino Programming steps are explained with real time industrial applications.

  • The course is delivered through Arduino and different types of sensors.

  • End of Module Assessments enable instructor to ascertain whether students have understood the program.

  • Student feedback helps tweak the course content

In this course, we will start off by understanding exactly what is IoT; then we will understand the evolution of the internet, going ahead we will understand the architecture of IoT, and finally, we will look at some really interesting applications of IoT. Finally, we will look at some real-world examples of IoT that can be created using these Arduino

 
computervision.jpg

Eligibility

  • Basics of Python Programming

Computer Vision Using Python Open CV

  • Object detection, Tracking and Motion Analysis

  • Neural and conventional Neural networks

  • Build Simple image classifiers in Python

  • Identifying human faces in digital images

  • Changing or merging through a smooth transition different pictures to create a new one

  • Assignments based on the real time Application

Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this beginner-friendly course, you will understand computer vision and learn about its various applications across many industries. As part of this course, you will utilize Python, and OpenCV for basic image processing and perform image classification and object detection

 
pythondjango.jpg

Eligibility

  • Engineering graduates (From 2nd Year onwards ECE, EEE, CSE, IT streams)

  • Python programming

Web Application Using Python / Django

  • Convert a Python Script into Web application

  • Improve the User Interface in Web application

  • Build the real time web applications (Website).

  • Deploy the Python web application into Google App Engine

  • Assignments based on the real time Application

Python is one of the most popular and versatile programming languages out there and can be used to

Build applications of several kinds. For web applications, Python enables developers to build the backend or the server-side. It also has several overwhelming frameworks and packages to utilize