Cyber-Physical Systems and Industrial IoT (IIoT): Embedded Systems, PLC Integration, Predictive Control Training by Tonex
Cyber-Physical Systems and Industrial IoT (IIoT): Embedded Systems, PLC Integration, Predictive Control Training by Tonex delivers an in-depth exploration of the converging realms of cyber-physical systems and industrial IoT. This comprehensive course equips professionals with the knowledge to navigate the complexities of embedded systems, PLC integration, and predictive control. As industries increasingly rely on interconnected devices, understanding these technologies is critical for securing operational technology (OT) environments, mitigating vulnerabilities, and enhancing overall cybersecurity resilience.
Audience:
- Cybersecurity Professionals
- Industrial Automation Engineers
- Control System Engineers
- IoT Developers
- System Architects
- IT Managers
Learning Objectives:
- Understand the fundamentals of cyber-physical systems and IIoT.
- Master the principles of embedded systems and PLC integration.
- Apply predictive control techniques for optimized industrial processes.
- Identify and mitigate security vulnerabilities in CPS/IIoT environments.
- Develop strategies for secure data acquisition and communication.
- Implement best practices for system monitoring and maintenance.
Course Modules:
Module 1: Foundations of Cyber-Physical Systems and IIoT
- Introduction to Cyber-Physical Systems (CPS)
- Overview of Industrial Internet of Things (IIoT)
- Key Components and Architectures
- Industry 4.0 and Digital Transformation
- Applications and Use Cases
- Evolution and Future Trends
Module 2: Embedded Systems in Industrial Environments
- Embedded Systems Fundamentals
- Microcontroller and Microprocessor Basics
- Real-Time Operating Systems (RTOS)
- Embedded System Programming
- Hardware and Software Integration
- Design and Development Considerations
Module 3: Programmable Logic Controller (PLC) Integration
- PLC Architecture and Functionality
- Industrial Automation Protocols
- Data Acquisition and Control
- PLC Programming Languages
- Network Integration and Communication
- Troubleshooting and Maintenance
Module 4: Predictive Control and Optimization
- Introduction to Predictive Control
- Model Predictive Control (MPC) Techniques
- Data-Driven Control Strategies
- Optimization Algorithms
- Performance Monitoring and Analysis
- Implementation and Deployment
Module 5: Security in Cyber-Physical Systems and IIoT
- Cybersecurity Risks and Vulnerabilities
- OT Security Frameworks and Standards
- Secure Data Acquisition and Transmission
- Access Control and Authentication
- Intrusion Detection and Prevention
- Incident Response and Recovery
Module 6: Advanced Topics and Best Practices
- Edge Computing and Fog Computing
- Artificial Intelligence and Machine Learning in IIoT
- Digital Twins and Simulation
- System Monitoring and Diagnostics
- Lifecycle Management and Sustainability
- Future Directions and Innovations
Empower your career by mastering the intricacies of Cyber-Physical Systems and Industrial IoT. Enroll today to secure the future of industrial automation.