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Digital Twins Explained (Digital Twins in Industry 4.0)

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Messgerat Labs (GaugeHow)

17:15:32

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  • 1 - Overview of Industry 40.mp4
    04:52
  • 2 - Fourth Industrial Era.mp4
    03:35
  • 3 - Key Technologies Part1.mp4
    04:43
  • 4 - Key Technologies Part2.mp4
    23:45
  • 5 - Benefits of Industry 40.mp4
    06:27
  • 6 - Challenges of Industry 40.mp4
    08:09
  • 7 - Introduction to Digital Twins.mp4
    23:03
  • 8 - Applications of Digital Twins.mp4
    20:42
  • 9 - History and Development.mp4
    21:55
  • 10 - Key Components.mp4
    31:17
  • 11 - Types of Digital Twins.mp4
    32:30
  • 12 - Overview of Digital Twin Architecture.mp4
    01:47
  • 13 - Layers and Components.mp4
    06:59
  • 14 - Layers and Components Part 2.mp4
    20:40
  • 15 - Key Consideration.mp4
    09:09
  • 16 - Key Consideration Part2.mp4
    13:04
  • 17 - Data Integration.mp4
    17:26
  • 18 - Data Integration Technologies.mp4
    17:45
  • 19 - Communication Protocols Introduction.mp4
    11:45
  • 20 - Major Communication Protocols.mp4
    29:53
  • 21 - Modeling and Simulation.mp4
    04:14
  • 22 - Types of Models in Digital Twins.mp4
    05:32
  • 23 - Types of Models in Digital Twins Part2.mp4
    07:41
  • 24 - Types of Models in Digital Twins Part3.mp4
    03:36
  • 25 - Types of Models in Digital Twins Part4.mp4
    06:01
  • 26 - RealTime Simulation Techniques.mp4
    08:21
  • 27 - RealTime Simulation Techniques Part2.mp4
    13:12
  • 28 - Predictive Simulation Techniques.mp4
    11:42
  • 29 - Realtime and Predictive Simulation.mp4
    10:44
  • 30 - Tools and Software.mp4
    05:54
  • 31 - Analysis of Tools.mp4
    23:32
  • 32 - Overview of Data Analytics.mp4
    04:02
  • 33 - Role of Data Analytics.mp4
    15:56
  • 34 - Types of Data Analytics.mp4
    23:13
  • 35 - Visualization and reporting.mp4
    07:44
  • 36 - AI and Machine Learning.mp4
    10:00
  • 37 - Role of AI and Machine Learning in Digital Twins.mp4
    20:19
  • 38 - Case Studies.mp4
    04:37
  • 39 - Realworld Examples.mp4
    16:50
  • 40 - Module Introduction.mp4
    00:41
  • 41 - Planning and Strategy.mp4
    22:36
  • 42 - Steps for Implementation.mp4
    05:39
  • 43 - Steps for Implementation Part 2.mp4
    17:10
  • 44 - Challenges and Solutions.mp4
    15:55
  • 45 - Challenges and Solutions Part 2.mp4
    24:20
  • 46 - Challenges and Solutions Part 3.mp4
    18:36
  • 47 - Best Practices.mp4
    22:39
  • 48 - Digital Twin in Product Lifecycle Management PLM.mp4
    04:34
  • 49 - PLM Overview.mp4
    30:45
  • 50 - Enhancing PLM.mp4
    13:22
  • 51 - How digital twins enhance PLM processes.mp4
    16:25
  • 52 - Industry Examples.mp4
    13:30
  • 53 - Industry Examples Part2.mp4
    16:04
  • 54 - Smart Manufacturing Overview.mp4
    04:54
  • 55 - Digital Twins in Smart Manufacturing.mp4
    17:08
  • 56 - Integration with IoT.mp4
    13:44
  • 57 - Understanding Digital Twins in Smart Manufacturing.mp4
    17:41
  • 58 - Case Studies.mp4
    17:54
  • 59 - Realworld Applications.mp4
    12:39
  • 60 - Digital Twins in Maintenance and Optimization.mp4
    03:43
  • 61 - How digital twins are used for predictive maintenance.mp4
    22:26
  • 62 - Techniques and Tools.mp4
    31:16
  • 63 - Process and Performance Optimization.mp4
    03:31
  • 64 - Process and Performance Optimization Part2.mp4
    37:07
  • 65 - Examples of successful maintenance and optimization using digital twins.mp4
    27:36
  • 66 - Future Trends and Innovations.mp4
    02:30
  • 67 - Emerging Technologies.mp4
    20:02
  • 68 - Emerging Technologies Part2.mp4
    24:27
  • 69 - Innovations in Digital Twins.mp4
    23:50
  • 70 - Future Outlook.mp4
    20:12
  • Description


    Digital Twins for Industry 4.0

    What You'll Learn?


    • Digital Twin concepts and evolution
    • Practical industry applications
    • Strategies for optimization and innovation
    • Industry 4.0 and Digital Manufacturing

    Who is this for?


  • Professionals in Manufacturing
  • Engineering Students
  • Anyone Interested in Digital Twin technology
  • Anyone Interested in Industry 4.0/Digital Manufacturing
  • What You Need to Know?


  • No any requirements
  • More details


    Description

    Unlock the power of Digital Twins in Industry 4.0.


    This course introduces you to Digital Twins, their key concepts, and real-world applications. Learn how these digital replicas are revolutionizing industries by optimizing operations and driving innovation.

    Key Benefits:

    • Gain an in-depth understanding of Digital Twin concepts.

    • Learn how to leverage Digital Twin technology to optimize operations and drive innovation.

    • Explore real-world applications of digital twins across various industries.

    Ideal for:

    This course is perfect for professionals in manufacturing, engineering, and IT, as well as students looking to advance their knowledge of Industry 4.0 and Digital Twin technology.


    This course provides a comprehensive overview of digital twins and their transformative role in Industry 4.0. Starting with an introduction to key Industry 4.0 technologies, this course will dive into the core concepts of digital twins, their benefits, and how they are leveraged across various industries.


    Participants will gain insights into the importance of digital twins in driving innovation, operational efficiency, and predictive maintenance.


    Through real-world examples and hands-on learning, students will be equipped with the knowledge and tools to implement digital twin technologies in manufacturing, healthcare, and beyond.


    Requirements

    • No Prior requirements.


    Thanks and See you in the Course :)

    Who this course is for:

    • Professionals in Manufacturing
    • Engineering Students
    • Anyone Interested in Digital Twin technology
    • Anyone Interested in Industry 4.0/Digital Manufacturing

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    Messgerat Labs (GaugeHow)
    Messgerat Labs (GaugeHow)
    Instructor's Courses
    Hello,My Name is Deepak from Messgerat labs India. I am a Mechanical Engineer by Profession at BigCMM and an Expert in ISO 10360, ISO 10725 and Measurement Uncertainty. I have 5+ years of experience in the field of Mechanical Engineering and am Passionate about similar Content Creation.We designed these courses with the help of Subject Experts of each domain with the GaugeHow, 17025. store & BigCMM team!Thank you joining us!GaugeHow & 17025. store (By Messgerat labs)
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 70
    • duration 17:15:32
    • Release Date 2025/01/23

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