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Industry 4.0 Workshop
A HANDS-ON APPROACH

21-22 MAY 2019

overview

We have witnessed the power of mechanization in the early 19th century, automation in the seventies, information and the internet in the last decades. However, now, the adaptation of connected intelligence into business and social fabrics is advancing at an astonishing speed, which will completely change the way we conduct business.

In this course, we will discuss changes/predictions to see in the future, such as:

• The credit card business will fade out gradually
• All currency will be crypto
• Whereas traditional internet gives rise to the digital divide, the mobile internet will narrow the wealth gap
• Most e-business models will become obsolete, leaving customer to factory (C2F)
• No more talents to hide except partners
• Mobile phones will be outdated and replaced by augmented virtual reality (AVR)
• Big corporates will transform into big platforms
• The birth of real Internet economics
• The death of global manufacturing to networked and dispersed manufacturing

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The Industry 4.0 Workshop will explain how these changes will be brought about by the extensive use of digital intelligence, which will be available on mobile, internet, and pervasive computing as homes, offices, and factories become a well knitted cyber-physical system.

Enabling tools such as Cloud Computing, Big Data, Internet of Things and Cyber-Physical Systems are introduced. Automation, intelligence, and collaborations are discussed with particular reference to smart manufacturing, smart products/services and smart cities, and their opportunities and challenges.

LEARNING OUTCOMES


Upon completing the training program, participants will be able to

  Understand the various stages of industrial revolutions

  Understand the Future of Work and the skills needed

  The drivers, enablers and compelling forces for Industry 4.0’s advancement

  Smart factories and how they compare to existing ones

  Understand what Internet of Thing (IoT) and Industrial Internet of Things (IIoT)

  Predictive Analysis, Big Data leading to data-driven decisions and automation

  Cyber-Physical Systems and other major systems in Industry 4.0

  Understand the role and importance of data and cloud computing

  How to use the Cloud to support human-machine collaborative efforts

  The use of collaborative robots

  Examples of smart automation, products, and services

  The challenges in cybersecurity and how to reduce them

  How organizations and knowledge workers can better prepare for Industry 4.0

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INSTRUCTOR PROFILE

Manish Jain is a global instructor/ trainer with 15 years of experience specializing in IoT, Blockchain, AI, Big Data, Industry 4.0, Machine Learning, Cloud and Hadoop.

Manish completed his Master’s in Computer Application in India and is currently pursuing his Ph.D. in cloud computing/ big data from the University of Glasgow.

His professional accomplishments include:
• Microsoft Specialist - Server Virtualization with Windows Server Hyper-V and System Center (74-409)
• Microsoft Certified Technology – MCTS ,MCITP,MCSA,MCP
• Cisco Technology - CCNA, CCNP
• Vmware - Certified Associate Data Center Virtualization
• Cloudera Certified Hadoop Developer and Admin
• Certified Ethical Hacker
• EC-Council's Certified Security Analyst
• Adobe Certified Expert
• OCJP Certified
• Black belt six sigma certification
• AWS Certified SysOps Administrator – Associate
• AWS Certified Big Data – Specialty

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ATTENDEE PROFILE


  •   Software developers, engineers, data analysts, big data professionals and anybody who wants to make a career in the field of Industry 4.0.  

Requirements


  •   Background in
    computer architecture, python, R, C or C++ is useful.  

AGENDA

08:30 AM

COFFEE AND REGISTRATION


 
09:00 AM

Introduction to Industry 4.0 Module

  Internet of Things ( IoT)
  Industrial IoT (IIOT)
  Cloud Computing
  Artificial Intelligence
  Machine Learning
  Deep Learning
  Blockchain
 

10:30 AM

NETWORKING BREAK


 
10:50 AM

Industry 4.0 – Module 1: IOT (Internet of Things)

   The Internet of Things
  The Basics of Sensors & Actuators
  The Arduino Open-Microcontroller Platform
  Arduino Basics
  Arduino Board Layout & Architecture
  Reading from Sensors
  Programming fundamentals ( C language )
  Arduino Programming & Interface of Sensors
  Interfacing sensors with Arduino
  Programming Arduino
  Reading from Sensors

Project 1: Simple LED Program for Arduino
Project 2: Integrating Sensors & Reading Environmental Physical Values.
Project 3: Reading Environmental Values on Android Smartphone.
 

12:30 PM

NETWORKING LUNCH


 
01:30 PM

Industry 4.0 – Module 2: IIOT (Industrial Internet of Things)

Project 4: Voice Controlled Mini Home Automation using Android Smartphone
Project 5: Control Devices using Localhost Web Server for Home Automation.

 

03:00 PM

COFFEE BREAK


 
03:20 PM

   Integrating Ethernet Module & Testing DHCP Connection
  Creating Program for Localhost Web Server for controlling devices.
Project 6: Creating your own Android App using MIT App Inventor & controlling Arduino connected devices.  

04:50 PM

DAY 1 CLOSING REMARKS


 
08:30 AM

COFFEE AND REGISTRATION


 
09:00 AM

Industry 4.0 – Module 3: Big Data Analytics

  Introduction to Data Science and Statistical
  Introduction to Data Science, Use cases, Need of Business Analytics, Data Science Life Cycle, Different tools available for Data Science
  Introduction to R
  Installing R and R-Studio, R packages, R Operators, if statements and loops (for, while, repeat, break, next), switch case
  Data Exploration, Data Wrangling, and R Data Structure
  Importing and Exporting data from an external source, Data exploratory analysis, R Data Structure (Vector, Scalar, Matrices, Array, Data frame, List), Functions, Apply Functions
 

10:30 AM

NETWORKING BREAK


 
10:50 AM

Data Visualization

• Bar Graph
• Histogram
• Pie Chart
• Line Chart
• Box Plot
• Scatter Plot

Project 1 : Movie recommendation project
 

12:30 PM

NETWORKING LUNCH


 
01:30 PM

Industry 4.0 – Module 4: AI, ML, and DL

Project 2 : Data classification using Decision tree.
Project 3: Linear Regression Model for ML Analysis
Project 4: Random Forest with DataSet.

 

03:00 PM

COFFEE BREAK


 
03:20 PM

Project 5: Text Mining Process with AI and ML
Project 6: Android App development for Artificial intelligent application.  

04:50 PM

DAY 2 CLOSING REMARKS AND AWARDING CERTIFICATES


 

Masterclass starts in:

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For further information, please contact us: info@infinity-hq.com or call us on +971 55 875 2588

Venue


Media Rotana | Hessa Street | Barsha Heights | Dubai | United Arab Emirates