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Cyber-Physical Systems and Industrial IoT (IIoT): Embedded Systems, PLC Integration, Predictive Control Training
"Cyber-Physical Systems and Industrial IoT (IIoT): Embedded Systems, PLC Integration, Predictive Control Training" provides deep insight into modern industrial architectures. Learn how embedded systems and programmable logic controllers (PLCs) interact with AI for control and optimization. In cybersecurity, securing these interconnected environments is critical. The course addresses vulnerabilities unique to IIoT and equips professionals with tools to harden networks and implement predictive defenses against physical and digital intrusions.
Course Overview
None
Learning Objectives
- Understand the principles of cyber-physical systems and industrial IoT (IIoT).
- Analyze the integration of embedded systems and PLCs in industrial environments.
- Evaluate methods for implementing predictive control in IIoT systems.
- Identify the security challenges and solutions for cyber-physical systems.
- Apply strategies for designing and implementing robust IIoT systems.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.