Masterclass Certificate in IoT Real-time Monitoring Systems for Factories

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IoT Real-time Monitoring: Master the art of building efficient and robust monitoring systems for your factory. This Masterclass equips you with the skills to design and implement real-time data acquisition and industrial IoT solutions.

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About this course

Learn to leverage sensor networks, edge computing, and cloud platforms for predictive maintenance and operational optimization. Ideal for engineers, technicians, and managers seeking to improve factory efficiency and reduce downtime. Gain practical experience with popular IoT platforms and data analytics techniques. Enroll now and transform your factory's operations with the power of real-time monitoring!

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Course details

• Introduction to IoT and Industrial IoT (IIoT)
• Real-time Data Acquisition and Processing
• Industrial Communication Protocols (e.g., Modbus, OPC UA, MQTT)
• Cloud Platforms for IoT Data Management (e.g., AWS IoT, Azure IoT Hub)
• Sensor Networks and Deployment Strategies
• Data Visualization and Dashboarding
• Predictive Maintenance using Machine Learning
• Security in Industrial IoT Systems
• Case Studies and Best Practices
• Project: Design and Implementation of an IIoT Monitoring System

Career path

Job Role (IoT Real-time Monitoring Systems) Description
IoT Data Engineer (Real-time Monitoring) Develop and maintain real-time data pipelines for factory IoT systems, ensuring data integrity and availability. High demand for expertise in data streaming and cloud technologies.
Industrial IoT (IIoT) Specialist (Factory Monitoring) Deploy, manage, and optimize IoT solutions within factory environments, focusing on real-time monitoring and predictive maintenance. Requires strong problem-solving skills and knowledge of industrial protocols.
Senior IoT Architect (Real-time Systems) Design and implement scalable and robust real-time monitoring architectures for large-scale factory deployments. Extensive experience in system design and cloud platforms is essential.
Cloud IoT Developer (Factory Analytics) Develop cloud-based applications that integrate and analyze data from factory IoT sensors, enabling real-time monitoring and performance optimization. Expertise in cloud platforms (e.g., AWS, Azure, GCP) is crucial.
Cybersecurity Engineer (IoT & Industrial Control Systems) Secure factory IoT systems against cyber threats, ensuring data integrity and operational safety. Deep understanding of cybersecurity best practices and industrial control systems is required.

Entry requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

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Sample Certificate Background
MASTERCLASS CERTIFICATE IN IOT REAL-TIME MONITORING SYSTEMS FOR FACTORIES
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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