This course is part of IoT Systems and Industrial Applications with Design Thinking Specialization

Instructor: Pablo Puig

Skills you'll gain

  •   Data Security
  •   Scalability
  •   Real Time Data
  •   Automation
  •   Systems Integration
  •   Embedded Software
  •   Internet Of Things
  •   Cloud Services
  •   Predictive Modeling
  •   Emerging Technologies
  •   Interoperability
  • There are 3 modules in this course

    This course is tailored for professionals eager to deepen their understanding of IoT systems in industrial contexts. Throughout the course, you'll delve into key areas such as edge computing, data analytics, security, and the integration of IoT with robotics and automation technologies. The emphasis is in practical skills, ensuring that you are well-equipped to apply your knowledge to real-world industrial challenges. By the end of this Advanced IoT Systems Integration and Industrial Applications course, learners will be able to: - Understand the concepts, benefits, and challenges of edge computing in industrial IoT applications. - Apply advanced data analytics techniques for processing and deriving insights from IoT data, enabling data-driven decision-making in industrial applications. - Identify and mitigate security and privacy risks in IoT systems, applying best practices and developing comprehensive security and compliance plans for industrial applications. - Analyze and strategize the integration of IoT systems with robotics and automation technologies, designing holistic solutions for specific industrial use cases. Get ready to elevate your understanding, sharpen your skills, and emerge prepared to drive innovation in industrial settings.

    Module 2: IoT Security, Privacy, and Compliance

    Module 3: Integration of IoT with Robotics and Automation Technologies

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