Advanced Certificate in IIoT for Industry 4.0

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The Advanced Certificate in IIoT for Industry 4.0 is a comprehensive course designed to equip learners with essential skills for career advancement in the era of Industry 4.

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AboutThisCourse

0. This certificate course focuses on the industrial internet of things (IIoT), a critical component of the fourth industrial revolution. With the increasing demand for automation, data exchange, and artificial intelligence in various industries, this course is of paramount importance for professionals seeking to stay relevant in today's rapidly evolving job market. Learners will gain a deep understanding of IIoT technologies, architectures, and applications, as well as the necessary tools and techniques to design, implement, and manage IIoT systems. By completing this course, learners will be able to demonstrate their expertise in IIoT and Industry 4.0, making them highly sought after by employers in a wide range of industries. They will also be equipped with the necessary skills to drive innovation and improve productivity, efficiency, and safety in their organizations.

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CourseDetails

• Advanced IIoT Architecture: Understanding the components and structure of advanced Industrial Internet of Things (IIoT) systems, including edge computing, fog computing, and cloud platforms.
• IIoT Data Analytics: Analyzing large-scale data generated by IIoT devices and systems, using machine learning, artificial intelligence, and predictive analytics to optimize industrial processes and improve decision-making.
• Cybersecurity for IIoT: Protecting IIoT devices, networks, and systems from cyber threats, including securing communication protocols, implementing access controls, and monitoring for intrusions.
• Industrial Automation and Robotics: Integrating IIoT technologies with industrial automation and robotics systems, including programmable logic controllers (PLCs), distributed control systems (DCSs), and robotic process automation (RPA).
• Wireless Communication for IIoT: Implementing wireless communication technologies for IIoT systems, including cellular, Wi-Fi, Bluetooth, and low-power wide-area networks (LPWANs) such as LoRaWAN and NB-IoT.
• IIoT Edge Computing: Processing data at the edge of the network, near the source of data generation, to reduce latency, increase reliability, and enable real-time decision-making.
• Industrial AI: Applying artificial intelligence and machine learning algorithms to industrial processes, including predictive maintenance, quality control, and supply chain optimization.
• IIoT Standards and Protocols: Understanding industry-specific and international standards and protocols for IIoT communication, including OPC UA, MQTT, and RESTful APIs.
• IIoT Project Management: Planning, implementing, and maintaining IIoT projects, including risk management, resource allocation, and stakeholder communication.

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  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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FastTrack GBP £140
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  • ThreeFourHoursPerWeek
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StandardMode GBP £90
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  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
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ADVANCED CERTIFICATE IN IIOT FOR INDUSTRY 4.0
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London School of International Business (LSIB)
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05 May 2025
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