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How to Implement Industry 4.0 Technologies

Learn how the Industrial Internet of Things and smart manufacturing can capture continuous real-time data and boost productivity.

907 enrolled on this course

a young man standing with a tablet inside a data warehouse with futuristic lighting

How to Implement Industry 4.0 Technologies

907 enrolled on this course

  • 3 weeks

  • 3 hours per week

  • Accreditation available

  • Digital certificate when eligible

  • Intermediate level

Find out more about how to join this course

The CPD Certification Service

The CPD Certification Service was established in 1996 and is the leading independent CPD accreditation institution operating across industry sectors to complement the CPD policies of professional and academic bodies. Find out more.

Transform your business with Industry 4.0 technologies and smart data analysis

The ability to gather and analyse real-time data at lightning speeds is what gives businesses who embrace I4.0 technologies the edge.

On this three-week course from RMIT, you’ll discover how I4.0 technologies can optimise processes and transform data analysis. Learning from academic experts and industry professionals, you’ll find out what I4.0 technologies are and their applications across the sectors.

Discover Industry 4.0 technologies and how they can transform data analysis

You’ll gain insight into the background and compatibility of I4.0 and explore its real-life uses. This will give you the tools to assess the integration of these technologies into your existing projects.

Learn how digitalisation and smart manufacturing can revolutionise your business processes

You’ll see how I4.0 can make sensor technologies more efficient. Using real-life case studies and demonstrations you’ll learn how to transfer real-world data into the digital space and what to do with it once in the Cloud.

Explore how data aggregation, processing and visualisation can be improved with MindSphere

An understanding of computer networking and Cloud technologies can simplify processes and reduce upfront infrastructure investment.

You’ll explore how to achieve this with Siemens MindSphere, a platform which combines AI and advanced analytics to transform your output into meaningful, accessible data. With the skills to integrate this smart tech into your current systems you can optimise your operations and explore new business models with continuous data to back up your decisions.

By the end of this course, you will understand what Industry 4.0 technologies are and how your business can integrate these processes to become more efficient and effective in continuous data gathering and analysis.

Syllabus

  • Week 1

    An introduction to Industry 4.0 and its use cases

    • Meet your instructors

      Hello and welcome! Get to know a bit more about your instructors of this course.

    • Introduction to the week

      Welcome to Week 1: In this week, we will cover

    • What is I4.0?

      When you enter Industry 4.0 (I4.0) into your search engine, you may find yourself bombarded with a shopping list of fancy electronic gadgets. Is it what I4.0 is all about? Let's find out...

    • Buzzwords in I4.0

      Articles or resources on industry 4.0 technologies are often associated with fancy high-tech terminologies and buzzwords. How are they related to industry 4.0? Let's demystify them...

    • Other compatible concepts and approaches

      You may be concerned about whether industry 4.0 technologies are compatible with your existing project management approaches. You are not alone. Let's find out...

    • A virtual field trip

      Let's have a look at how different companies and organisations apply industry 4.0 technologies in their day-to-day businesses.

    • Demonstration - Setting up your first Industry 4.0 system

      In this demonstration, we will use Node-RED under a Linux environment to set up a basic Industry 4.0 system.

  • Week 2

    Moving data from the physical world into the digital space

    • Introduction to the week

      Welcome to Week 2: In this week, we will cover

    • Sensors - Types and Properties

      Sensors are the essential components for capturing data from the physical world into the industry 4.0 digital space. Let's take a closer look...

    • Digitisation

      Your captured signal is too weak, distorted, or corrupted? There could be something wrong with your digitisation process. Let's check them out...

    • Demonstration - Getting data from sensors

      An industry 4.0 system with only a dashboard has limited applications. Let there be data ...

  • Week 3

    Moving data over networks and onto MindSphere

    • Introduction to the week

      Welcome to Week 3: In this week, we will cover

    • Basic Computer Networking

      Industry 4.0 is about presenting relevant data to the right person at the right time for making well-informed business decisions. Let your I4.0 systems talk to each other by connecting them via computer networks!

    • Demonstration - Connecting to MIndSphere

      We will build an industry 4.0 system over the Internet based on the systems established in Weeks 1 and 2, together with Siemens MindSphere on the Cloud. Time to put all the things together...

Who is this accredited by?

The CPD Certification Service
The CPD Certification Service:

The CPD Certification Service was established in 1996 and is the leading independent CPD accreditation institution operating across industry sectors to complement the CPD policies of professional and academic bodies.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Identify the digital value chain and development strategy in I4.0
  • Explore how digitalisation processes can make a business ‘smart’
  • Apply data aggregation, processing and visualisation techniques using SIEMENS MindSphere.

Who is the course for?

This course is designed for learners with industry backgrounds, particularly in sectors including manufacturing, agriculture, and logistics, as well as IT professionals and data analysts with an interest in implementing I4.0 technologies.

What software or tools do you need?

If you would like to try out the procedures shown in the step-by-step demonstration videos, you will need to have a Windows/Linux/Mac (Intel-based only) computer with Oracle VM VirtualBox installed. You will also need to register a “Start for Free” account with Siemens Mindsphere.

Who will you learn with?

BEng, MSc, PhD, SrMIEEE, MIEAust CPEng NER
Associate Professor at Manufacturing, Materials and Mechatronics, School of Engineering, RMIT University, Melbourne, Australia

PhD, MSc, BSc (Hons), MIEAust, CPEng
Senior Lecturer & Program Manager Biomedical Engineering (Hons), Discipline of Electrical and Biomedical Engineering, School of Engineering, RMIT University.

Who developed the course?

RMIT University

Royal Melbourne Institute of Technology (RMIT) is a global university, with over 80,000 students, specialising in technology, design and enterprise.

  • Established

    1887
  • Location

    Melbourne, Australia
  • World ranking

    Top 210Source: QS World University Rankings 2022

Siemens

Siemens is a global powerhouse focusing on the areas of electrification, automation and digitalization.

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Ways to learn

Choose the best way to learn for you!

Subscribe & save

$349.99 for one year

Automatically renews

Develop skills to further your career

  • Access to this course
  • Access to 1,000+ courses
  • Learn at your own pace
  • Discuss your learning in comments
  • Digital certificate when you're eligible

Cancel for free anytime

Buy this course

$109/one-off payment

Fulfill your current learning need

  • Access to this course
  • Learn at your own pace
  • Discuss your learning in comments
  • Printed and digital certificate when you’re eligible

Limited access

Free

Sample the course materials

  • Access expires 16 May 2024

Find out more about certificates, Unlimited or buying a course (Upgrades)

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