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Professional Certificate in IoT Development for Smart Manufacturing
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- Introduction to IoT Architectures for Smart Manufacturing
- Embedded Systems and Microcontrollers for IoT Devices
- Data Acquisition and Sensor Integration in Smart Factories
- Cloud Platforms and IoT Data Management (including AWS IoT Core, Azure IoT Hub, Google Cloud IoT)
- Network Technologies for Industrial IoT (IIoT) – Ethernet/IP, Modbus, MQTT
- Cybersecurity for Industrial IoT Systems
- Industrial IoT Protocols and Communication
- Smart Manufacturing Applications with IoT (Predictive Maintenance, Supply Chain Optimization)
- IoT Development for Smart Manufacturing Project
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Job Role Description IoT Software Engineer (Smart Manufacturing) Develops and maintains software for IoT devices and platforms within smart manufacturing environments.
Expertise in cloud platforms, data analytics, and industrial protocols is crucial.
IoT Data Scientist (Smart Factory) Analyzes large datasets from IoT devices to optimize manufacturing processes and improve efficiency.
Strong programming skills (Python, R) and machine learning expertise are essential.
IoT Systems Architect (Industrial Automation) Designs and implements the architecture for IoT systems in manufacturing settings.
Deep understanding of network protocols, security, and scalability is required.
IoT Cloud Engineer (Smart Manufacturing) Manages and maintains the cloud infrastructure supporting IoT devices and applications in smart factories.
Experience with cloud platforms like AWS, Azure, or GCP is necessary.
Cybersecurity Analyst (Industrial IoT) Focuses on securing IoT devices and networks in industrial settings.
Knowledge of cybersecurity best practices, vulnerability management, and penetration testing is essential.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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