Postgraduate Certificate in Edge Computing in IIoT

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The Postgraduate Certificate in Edge Computing in IIoT is a comprehensive course designed to equip learners with essential skills for career advancement in the rapidly evolving world of industrial IoT. This course emphasizes the importance of edge computing, a critical component of modern industrial systems that enables real-time data processing and analysis at the edge of the network.

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AboutThisCourse

With the increasing demand for edge computing experts in industries such as manufacturing, transportation, and healthcare, this course provides learners with the knowledge and practical skills needed to succeed in this in-demand field. Through hands-on labs and real-world case studies, learners will gain expertise in edge computing architecture, security, and data analytics, empowering them to design, deploy, and manage edge computing solutions in industrial IoT environments. By completing this course, learners will not only demonstrate their proficiency in edge computing but also differentiate themselves in a competitive job market, opening up new opportunities for career advancement and growth in the exciting world of industrial IoT.

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CourseDetails

โ€ข Introduction to Edge Computing in IIoT
โ€ข Fundamentals of Industrial Internet of Things (IIoT)
โ€ข Edge Computing Architecture and Components
โ€ข Advantages and Challenges of Edge Computing in IIoT
โ€ข Data Management and Analytics in Edge Computing
โ€ข Security and Privacy in Edge Computing for IIoT
โ€ข Use Cases and Applications of Edge Computing in IIoT
โ€ข Designing and Implementing Edge Computing Solutions in IIoT
โ€ข Trends and Future Directions in Edge Computing for IIoT

CareerPath

Software Engineer (Edge Computing) - 30%: Demand for professionals with experience in Edge Computing and IIoT is rapidly growing. Software Engineers specializing in Edge Computing are expected to see a significant increase in job opportunities as more companies adopt this technology. Data Scientist (Edge Computing) - 25%: Data Scientists with expertise in Edge Computing and IIoT are highly sought after in today's job market. They play a crucial role in analyzing data and optimizing Edge Computing systems in industries. Systems Engineer (Edge Computing) - 20%: Systems Engineers with knowledge of Edge Computing and IIoT are essential for designing, implementing, and maintaining complex systems. As a result, they can expect a strong demand for their skills in the coming years. Network Engineer (Edge Computing) - 15%: Network Engineers working with Edge Computing and IIoT are responsible for building and maintaining high-performing networks. Their expertise in this field is invaluable as industries transition to Edge Computing and IoT devices. Security Specialist (Edge Computing) - 10%: Security Specialists with Edge Computing and IIoT knowledge are crucial in ensuring the security and integrity of data in Edge Computing systems. With growing concerns about cybersecurity, their skills are increasingly valuable to businesses.

EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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  • NotAccreditedRecognized
  • NotRegulatedAuthorized
  • ComplementaryFormalQualifications

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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
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StandardMode GBP £90
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FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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POSTGRADUATE CERTIFICATE IN EDGE COMPUTING IN IIOT
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London School of International Business (LSIB)
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05 May 2025
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