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Industry 4.0

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Workshop Overview:


In this two day workshop we examine the vision of Smart Manufacturing and Industry 4.0 and then consider Smart Strategies to start implementing the vision.


Introduction to Cloud Computing:

  • A short history
  • Client Server Computing Concepts
  • Challenges with Distributed Computing
  • Introduction to Cloud Computing
  • Why Cloud Computing?
  • Benefits of Cloud Computing

Networking Basics:

  • Understanding Networking Concepts
  • TCP/IP
  • Application Protocols
  • Understanding Linux Files and Network Tooling
  • ifconfig
  • dig
  • ping
  • traceroute
  • netstat
  • tcpdump
  • resolv.conf
  • ssh
  • scp/rsync

Characteristics of Cloud Computing

  • API based access
  • Cost
  • Device independence
  • Virtualization

Types of Cloud Computing

  • Software as a Service
  • Platform as a Service
  • CLOUD COMPUTING – BASIC AND ADVANCED
  • Infrastructure as a Service
  • Other XaaS's

Cloud Deployment Models

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
  • When to choose what?
  • Virtualization
  • Introduction to Virtualization
  • Role of Virtualization in Cloud Computing
  • Types of Virtualization
  • Examples of Virtualization
  • Benefits of Virtualization
  • Amazon Web Services (AWS)
  • Introduction to the AWS products
  • Amazon Elastic Compute Cloud (EC2)
  • Amazon Simple Storage Service (S3)

BigData/Hadoop

    What is Big Data & Why Hadoop?
  • 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

Data Science:

  • Introduction to R
  • History of R
  • 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

IOT (NODE RED) :

  • A brief introduction to Node-RED
  • Building your first flows
  • Basic nodes and flows A tour of the core nodes
  • The Node-RED programming model
  • Intermediate flows
  • Dashboards and UI techniques.
  • Node-RED, the cloud and IoT platforms
  • Advanced flows

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