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Key Industry 4.0 Technologies in Manufacturing - 2
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Key Industry 4.0 Technologies in Manufacturing - 2

Board Infinity

Instructor: Board Infinity

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

22 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

22 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Grasp the fundamentals of Industry 4.0 technologies and their real-world applications.

  • Analyze case studies to evaluate the impact of these technologies and predict future trends.

  • Develop practical skills necessary for effectively implementing Industry 4.0 technologies in manufacturing processes.

Details to know

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Recently updated!

July 2024

Assessments

17 assignments

Taught in English

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This course is part of the Advances in Manufacturing Technology Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

This module introduces participants to artificial intelligence (AI) and big data analytics in manufacturing. Participants explore AI fundamentals, components, and applications. They learn the differences between AI, machine learning (ML), deep learning (DL), and big data analytics, with practical applications in manufacturing. The module also covers real-world case studies, impacts on manufacturing processes, and future trends. Through focused video lectures, participants gain insights into leveraging AI and big data analytics for enhanced manufacturing efficiency and innovation

What's included

14 videos4 readings4 assignments1 discussion prompt

This module introduces blockchain technology and its applications in manufacturing. Participants learn the basics of blockchain, smart contracts, and their manufacturing use cases. Key features like decentralization, immutability, consensus mechanisms, and security are explored. The module also covers the impact of blockchain on manufacturing, real-world applications, and future trends. Through concise video lectures, participants gain insights into leveraging blockchain for enhanced manufacturing processes and innovation.

What's included

13 videos3 readings4 assignments

This module explores virtual, augmented, and mixed reality technologies and their applications in manufacturing. Participants learn about VR and AR, their differences, and extended reality (XR) and mixed reality (MR). Key impacts on the manufacturing industry and future trends are discussed. The module includes practical use cases of AR in training, VR in product design and prototyping, and applications for remote assistance and maintenance. Through focused video lectures, participants gain insights into leveraging these technologies for enhanced manufacturing processes and innovation.

What's included

12 videos3 readings4 assignments

This module explores cloud computing and cybersecurity, emphasizing their significance in the manufacturing industry. Participants will learn about cloud computing fundamentals, service models, and deployment strategies, alongside the critical role of cybersecurity in Industry 4.0. The module covers practical cloud migration strategies, hybrid and multi-cloud environments, and essential cybersecurity measures. Through detailed video lectures and real-world case studies, participants will gain insights into implementing cloud-based systems and enhancing security in manufacturing operations.

What's included

18 videos4 readings5 assignments

Instructor

Board Infinity
Board Infinity
88 Courses164,009 learners

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