Industry 4.0

Industry 4.0, the fourth industrial evolution. It follows the latest techniques of automation and data exchange in manufacturing technology. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing. Those are quite a lot of terms and components indeed. Yet, Industry 4.0 is a rather vast vision and, increasingly, vast reality that also stretches beyond merely these technological aspects. The workshop on Industry 4.0 penetrates through the complete guide Industry 4.0 definition, origins, benefits, challenges, components, strategy, cyber-physical systems, building blocks and evolution


Can access computer system and make use of internet to perform search over Google.

Need to Prepare?

Basic Knowledge of Matrices and Vector. Prior programming experience is not required.

Tools Expected:-

Windows OS based PC, Smart phone with Internet, Notebook and Pen

Tools Provided (for the session):-

PIG, HIVE, Hadoop


Smart factory architecture, Cyber Security, HMI,Cloud Computing etc.


This workshop will cover key concepts of future “smart factories” which comprises of cyber-physical systems, physical processes, virtualization and intelligent decision making capabilities.


Predictive Maintenance and Continuous Monitoring


2 Days (7 hours each including 1-hour lunch break)


Day 1
Session 1-  (03:30 hrs)
Introduction to AI
  • Industrial Revolutions and Future View
  • Principles of “Smart Factory”
  • Automation 101
  • Industry 4.0 (Industrie 4.0) Key Principles
  • Industry 4.0 and the Future of Production
  • Effects and Challenges
  • Industry 4.0 Technology Essentials
  • Architecture behind Smart Factory
  • Physical Environment and Cyber-Physical SystemsIoT (Internet of Things) Essentials
  • The Technology Factors
  • Industry 4.0 Powering Leading Brands


Amazon Web Services (AWS)
  • Introduction to the AWS products
  • Amazon Elastic Compute Cloud (EC2)
  • Amazon Simple Storage Service (S3)
Session 2- (02:30 hrs)
Principles of Cloud Computing
  • API based access
  • Cost
  • Device independence
  • Virtualization
  • Software as a Service
  • Platform as a Service
  • Infrastructure as a Service
  • Other XaaS’s


Cloud Deployment Models
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
  • When to choose what


Session Recap


Day 2
Session 1- (03:30 hrs)
Principles of Big Data, Data Mining, and Data Warehousing
  • What is Big Data? 
  • Traditional data management systems and their limitations 
  • What is Hadoop? 
  • Why is Hadoop used? 
  • The Hadoop eco-system 
  • Big data/Hadoop use cases 
  • HDFS (Hadoop Distributed File System) 
  • HDFS Architecture 
  • Namenode memory concerns 
  • Secondary namenode 
  • Basic Hadoop commands 
  • PIG and HIVE Programming


Session 2- (02:30 hrs)
Principles of Predictive Maintenance and Continuous Monitoring
  • What is R programing
  • An Insight into R
  • Data Structure and Data Type
  • Data Management and Data Cleaning
  • Missing Value Treatment
  • Outlier Treatment
  • Sorting Datasets
  • Merging Datasets
  • Creating new variables
  • Binning variables
  • Reading datasets from other environments into R ( importing )
  • Writing datasets from R environment to other environments (exporting ) 
  • Data Visualization in R 
  • Bar Chart
  • Dot Plot
  • Scatter Plot ( 3D )
  • Spinning Scatter Plots
  • Pie Chart
  • Histogram ( 3D ) [including colourful ones ]
  • Overlapping Histograms
  • Boxplot

Plotting with Base and Lattice Graphics

Lean Manufacturing

Session Recap


Zonal Round of SkillThon
  • Competition
  • Certificate distribution and acknowledgement


INR 1200 (GST exclusive) Per Participation