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• date: 5 October 2025
• posted by: AD-TEAM

SCADA & Industrial IoT: HMI Design, Communication Protocols, Predictive Maintenance, and Smart Grid Applications

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.

Deploy SCADA in power, water, manufacturing, and smart grid applications with best practices in cybersecurity, reliability, and scalability.

Requirements

No prior SCADA or IoT experience required — the course starts from beginner level to advanced industrial applications. Basic knowledge of automation, electronics, or industrial processes is helpful but not mandatory. A computer with internet access to practice SCADA software and explore IoT integration examples. Willingness to learn, explore hands-on projects, and apply concepts in real-world industrial scenarios.

Description

Master the world of SCADA & Industrial IoT: HMI, Protocols, Security, Maintenanc with this complete practical course designed for engineers, technicians, and students who want to gain real-world expertise in automation and digital transformation."This course contains the use of artificial intelligence."In this course, you will explore the fundamentals of SCADA architecture, including RTUs, PLCs, HMIs, and the critical role they play in industrial automation. You will learn how to design high-performance HMI screens, configure alarm management, and implement secure communication protocols such as Modbus, OPC UA, and MQTT.Beyond the basics, the course takes you into advanced applications of SCADA, covering data acquisition, historians, reporting, and real-time dashboards. You will understand how SCADA integrates with cloud platforms like Azure and AWS IoT, enabling predictive maintenance, advanced analytics, and machine learning solutions.We will also focus on SCADA applications in power, energy, water, and wastewater systems, as well as smart grid technologies that form the backbone of future energy management. You will gain practical experience through hands-on projects, including creating SCADA screens, connecting IoT sensors, and deploying best practices for secure and scalable implementations.By the end of this course, you will be able to design, deploy, and manage SCADA systems integrated with Industrial IoT, ensuring reliability, efficiency, and cybersecurity. Whether you are an automation engineer, IoT developer, or student, this course will provide the knowledge and skills to advance your career in industrial automation and smart manufacturing.

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 10: Predictive Maintenance with SCADA and IoT: Smart Monitoring & Analytics

Lecture 10 Predictive Maintenance with SCADA and IoT: Smart Monitoring & Analytics

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.




   
   
   

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