Industrial Automation & Intelligent Control Systems

PLC, SCADA, Automation, Fuzzy, Neural, Industry 4.0

What you’ll learn
Understand the fundamentals of automation and industrial control systems.
Learn the architecture, programming, and interfacing of PLC and SCADA systems.
Gain practical exposure to MATLAB and Python for control simulation and data analysis.
Apply intelligent control concepts such as Fuzzy Logic and Neural Networks.
Explore AI-driven automation and Industry 4.0 frameworks through real industrial case studies.

Requirements
No programming knowledge is required

Description
This in-depth course on Industrial Automation & Intelligent Control Systems provides a complete understanding of how modern industries achieve high efficiency, precision, and reliability through automation. The course bridges theory and practical applications, making it ideal for engineers, students, and professionals aiming to build or upgrade their skills in industrial automation and intelligent control technologies.The curriculum begins with the fundamentals of control systems, sensors, transducers, actuators, and signal conditioning, progressing toward programmable control using PLCs, DCS, and SCADA systems. Learners will develop the ability to design ladder logic, implement PID control, and interface sensors and drives with automation hardware. Real-world simulation tools and examples are used to provide hands-on exposure to automation project design.As industries evolve toward Industry 4.0, the course introduces intelligent and adaptive control methods using artificial intelligence (AI), fuzzy logic, and neural networks. It also covers machine learning-based predictive maintenance, IoT-enabled smart factories, and digital twin concepts. Special attention is given to industrial communication protocols such as Modbus, Profibus, and Ethernet/IP, along with cybersecurity aspects in automation.Practical case studies from manufacturing, robotics, process plants, and renewable energy systems illustrate the integration of intelligent control systems in real industrial settings. By the end of the course, learners will be proficient in designing and managing automated systems, optimizing performance, and deploying intelligent control strategies for next-generation industrial environments.Key Highlights:Comprehensive understanding of PLC, DCS, and SCADA systemsIntelligent control techniques: fuzzy logic, neural networks, and AI integrationIndustrial IoT (IIoT) and digital transformation conceptsReal-world case studies and hands-on simulationsFocus on industrial communication, safety, and cybersecurityIdeal for automation engineers, process control professionals, and engineering students

Who this course is for
Beginner to Intermediate B. Tech Students

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