
Scada & Industrial Iot: Hmi, Protocols, Security, Maintenanc
Published 9/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
What you’ll learn
Master SCADA system architecture, core components, and integration with PLCs, RTUs, and IoT devices for real-time industrial automation.
Design high-performance HMI dashboards, manage alarms, and implement secure SCADA communication protocols like Modbus, OPC UA, and MQTT.
Apply predictive maintenance strategies using SCADA and IoT sensors, leveraging cloud analytics and machine learning for asset optimization.
Requirements
Description
Overview
Section 1: Introduction to SCADA Systems: Architecture, HMI, Protocols, and IIoT
Lecture 1 Introduction to SCADA Systems: Architecture, HMI, Protocols, and IIoT
Section 2: RTU, PLC, and HMI Systems: Foundations of Industrial Automation and IoT
Lecture 2 RTU, PLC, and HMI Systems: Foundations of Industrial Automation and IoT
Section 3: Designing SCADA Screens and HMI Layouts: Best Practices, Standards, and Trends
Lecture 3 Designing SCADA Screens and HMI Layouts: Best Practices, Standards, and Trends
Section 4: Data Acquisition and Historian Systems: SCADA, IIoT, and Industrial Analytics
Lecture 4 Data Acquisition and Historian Systems: SCADA, IIoT, and Industrial Analytics
Section 5: SCADA Software Platforms: Integration, PLC Connectivity, and IIoT Trends
Lecture 5 SCADA Software Platforms: Integration, PLC Connectivity, and IIoT Trends
Section 6: Security in SCADA Systems: Cybersecurity for Critical Industrial AutomationLearn
Lecture 6 Security in SCADA Systems: Cybersecurity for Critical Industrial AutomationLearn
Section 7: SCADA Systems in Critical Infrastructure: Power, Energy, and Water Control
Lecture 7 SCADA Systems in Critical Infrastructure: Power, Energy, and Water Control
Section 8: Industrial IoT Integration with SCADA Systems: Edge, Cloud, and Automation
Lecture 8 Industrial IoT Integration with SCADA Systems: Edge, Cloud, and Automation
Section 9: SCADA Integration with Azure and AWS IoT: Cloud, Analytics, and Automation
Lecture 9 SCADA Integration with Azure and AWS IoT: Cloud, Analytics, and Automation
Section 11: SCADA and Machine Learning for Analytics: Industrial AI & Predictive Insights
Lecture 11 SCADA and Machine Learning for Analytics: Industrial AI & Predictive Insights
Automation and control engineers seeking to master SCADA systems, IoT integration, and real-time industrial monitoring. Electrical engineers, PLC programmers, and SCADA technicians who want to design secure, scalable, and efficient industrial solutions. IoT developers and data analysts interested in applying cloud, MQTT, and machine learning to industrial automation projects. Students and beginners in industrial automation aiming to build strong foundations in SCADA architecture, HMI design, and predictive maintenance.

RapidGator
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