
Control And Automation Engineer Course
Master the full stack of control and automation engineering — from PLC programming and PID tuning to SCADA design and industrial networking. This course delivers the technical depth and hands-on skills employers demand in modern industrial environments. Build a career-ready foundation grounded in real engineering practice.
What your team will master:
You will build a solid foundation in control system theory, including Laplace transforms, transfer functions, and frequency-domain analysis. You will learn to program PLCs using ladder logic and IEC 61131-3 languages, then configure and tune PID controllers for real industrial processes. The course covers sensor selection, actuator integration, and field wiring standards. You will design SCADA systems, develop HMI screens, and configure industrial communication networks. Advanced topics include model predictive control, fuzzy logic, functional safety engineering, and Industrial IoT architecture.
How your team learns in practice Control And Automation Engineer Course
How your team practices Control And Automation Engineer Course
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Course Content
8 Chapters • 36 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Control and Automation
Foundations of Control and Automation
Lesson 1 • Industrial Standards and Safety Basics
Introduces functional safety concepts and industry standards for automation. Prepares students to design compliant and safe systems.
Lesson 2 • Automation System Architecture
Describes field, control, and supervisory layers of automation. Provides context for where PLCs, sensors, and SCADA fit.
Lesson 3 • Signals and Signal Types
Covers analog, digital, and discrete signals used in automation. Connects signal classification to sensor and actuator selection.
Lesson 4 • Introduction to Control Systems
Defines open-loop and closed-loop control with real-world examples. Establishes vocabulary used throughout the course.
Chapter 2HideHide detailsSee detailsMathematics for Control Engineers
Mathematics for Control Engineers
Lesson 1 • Transfer Functions and System Models
Derives transfer functions from differential equations and block diagrams. Forms the analytical core for controller design chapters.
Lesson 2 • Frequency Domain Analysis
Applies Bode and Nyquist methods to characterize system behavior. Connects frequency response to stability and performance metrics.
Lesson 3 • State-Space Representation
Introduces state-space modeling as an alternative to transfer functions. Prepares students for modern control design methods.
Lesson 4 • Laplace Transform Fundamentals
Introduces the Laplace transform as a tool for solving differential equations. Directly enables transfer function derivation in later sections.
Chapter 3HideHide detailsSee detailsSensors, Actuators, and Field Devices
Sensors, Actuators, and Field Devices
Lesson 1 • Industrial Sensor Technologies
Surveys temperature, pressure, flow, and level sensors used in industry. Connects sensor characteristics to measurement accuracy and range.
Lesson 2 • Sensor Calibration and Maintenance
Teaches calibration procedures, error sources, and preventive maintenance. Directly supports measurement reliability in automated systems.
Lesson 3 • Actuator Types and Selection
Covers electric, pneumatic, and hydraulic actuators and their control interfaces. Links actuator choice to process dynamics and energy requirements.
Lesson 4 • Signal Standards and Wiring
Explains 4–20 mA, 0–10 V, and digital signal standards for field devices. Ensures students wire and troubleshoot field loops correctly.
Chapter 4HideHide detailsSee detailsProgrammable Logic Controllers
Programmable Logic Controllers
Lesson 1 • PLC Networking and Communication
Covers EtherNet/IP, Modbus, and PROFIBUS protocols for PLC connectivity. Enables integration with SCADA and other controllers.
Lesson 2 • Ladder Logic Programming
Teaches contacts, coils, timers, counters, and data instructions in ladder logic. Builds the primary programming skill used in most industrial PLCs.
Lesson 3 • IEC 61131-3 Programming Languages
Introduces structured text, function block diagram, and sequential function chart. Expands programming capability beyond ladder logic.
Lesson 4 • PLC Hardware and Architecture
Describes CPU, I/O modules, power supply, and backplane components. Provides the hardware context needed before programming begins.
Lesson 5 • PLC Troubleshooting and Diagnostics
Applies systematic fault-finding methods to PLC hardware and programs. Develops the diagnostic skills essential for plant maintenance roles.
Chapter 5HideHide detailsSee detailsPID Control Design and Tuning
PID Control Design and Tuning
Lesson 1 • Advanced PID Enhancements
Covers anti-windup, bumpless transfer, and cascade control structures. Addresses practical limitations of basic PID in industrial loops.
Lesson 2 • Process Identification Methods
Teaches step-test and frequency-response methods to identify process models. Accurate models are prerequisite to systematic PID tuning.
Lesson 3 • PID Implementation on PLCs and DCS
Configures PID function blocks in PLC and DCS environments. Bridges theoretical tuning to real control system deployment.
Lesson 4 • PID Tuning Methods
Applies Ziegler-Nichols, Cohen-Coon, and IMC-based tuning rules. Compares methods by robustness, speed, and ease of implementation.
Lesson 5 • PID Controller Fundamentals
Explains proportional, integral, and derivative actions and their effects. Establishes the conceptual basis for all tuning work that follows.
Chapter 6HideHide detailsSee detailsIndustrial Networks and Communication Protocols
Industrial Networks and Communication Protocols
Lesson 1 • Wireless Industrial Communication
Introduces WirelessHART, ISA100, and Wi-Fi for industrial applications. Addresses reliability and security considerations unique to wireless OT networks.
Lesson 2 • Industrial Ethernet Protocols
Examines EtherNet/IP, PROFINET, and Modbus TCP for real-time control. Connects Ethernet protocols to PLC and SCADA integration tasks.
Lesson 3 • Fieldbus Technologies
Covers PROFIBUS, Foundation Fieldbus, and DeviceNet architectures and wiring. Establishes fieldbus knowledge before Ethernet-based protocols are introduced.
Lesson 4 • Network Design and Documentation
Teaches IP addressing, VLAN design, and network documentation standards. Ensures students can plan and document production-ready network architectures.
Chapter 7HideHide detailsSee detailsSCADA and HMI Development
SCADA and HMI Development
Lesson 1 • Alarm Management Systems
Designs alarm systems following rationalization and management best practices. Directly reduces nuisance alarms and improves operator response.
Lesson 2 • Tag Configuration and Data Acquisition
Configures I/O tags, scaling, and historian data collection in SCADA. Enables accurate real-time and historical process data management.
Lesson 3 • HMI Screen Design Principles
Applies human factors and ISA-101 guidelines to operator display design. Reduces operator error through effective visual hierarchy and navigation.
Lesson 4 • SCADA System Architecture
Describes SCADA components: RTUs, communication networks, servers, and clients. Provides the structural foundation for all SCADA configuration work.
Lesson 5 • SCADA Cybersecurity Fundamentals
Introduces network segmentation, access control, and patch management for SCADA. Addresses the growing security risk in connected industrial systems.
Chapter 8HideHide detailsSee detailsAdvanced Control Strategies
Advanced Control Strategies
Lesson 1 • Control Strategy Selection and Justification
Provides a decision framework for choosing among PID, MPC, fuzzy, and adaptive strategies. Develops engineering judgment for real-world control design.
Lesson 2 • Multivariable Control Systems
Addresses interaction, decoupling, and relative gain array analysis for MIMO systems. Prepares students to control processes with multiple interacting loops.
Lesson 3 • Fuzzy Logic Control
Designs fuzzy inference systems for processes with uncertain or nonlinear dynamics. Provides a rule-based alternative when mathematical models are unavailable.
Lesson 4 • Model Predictive Control Principles
Explains MPC prediction horizon, cost function, and constraint handling. Builds on transfer function and state-space knowledge from earlier chapters.
Lesson 5 • Adaptive and Self-Tuning Control
Introduces model reference adaptive control and self-tuning regulators. Addresses processes with time-varying dynamics that fixed controllers cannot handle.
Your valid completion certificate
This course is for you:
Electrical technician: ready to move into engineering-level automation roles.
Mechanical engineer: expanding expertise to include process control and instrumentation.
Recent STEM graduate: building specialized industrial skills before entering the workforce.
Maintenance professional: seeking to understand the systems they service every day.
Career changer: transitioning from IT or electronics into industrial automation engineering.
Junior automation engineer: filling knowledge gaps to take on more complex projects.
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