PLC Ladder Programming Training Course

The Allen Bradley platform is a widely adopted industrial automation ecosystem used to configure, control, and integrate PLCs, HMIs, and networked devices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level automation professionals who wish to interconnect and integrate Allen Bradley automation devices using Ethernet for seamless communication across PLCs, HMIs, servers, and routers.

Upon completion of this training, participants will be equipped to:

• Configure Ethernet-based communication within the Allen Bradley ecosystem.
• Integrate PLCs, HMIs, servers, and routers using common communication protocols.
• Implement real-world network topologies for automation systems.
• Troubleshoot device connectivity and data exchange issues.

Course Format

• Guided instruction with demonstrations using Allen Bradley tools.
• Hands-on integration exercises with Ethernet-connected devices.
• Practical configuration and testing in a live-lab environment.

Course Customization Options

• Customized training versions can be arranged based on specific device models or network architectures.

This instructor-led, live training in Slovakia (online or onsite) targets beginner to intermediate engineers and technicians who want to master AB PLC fundamentals and apply them to real-world manufacturing scenarios.

Upon completing this training, participants will be able to:

• Grasp the role and applications of AB PLCs in the manufacturing industry.
• Program AB PLCs using RSLogix 5000 or Studio 5000.
• Diagnose common issues and perform maintenance on PLC systems.
• Design and implement a PLC-controlled system for a manufacturing process.
• Demonstrate proficiency in PLC programming through a practical project.

AI in Smart Factories involves applying artificial intelligence to automate, monitor, and optimize industrial operations in real time.

This instructor-led live training, available online or onsite, is designed for beginner-level decision-makers and technical leads seeking a strategic and practical introduction to leveraging AI in smart factory environments.

Upon completing this training, participants will be able to:

• Comprehend the fundamental principles of AI and machine learning.
• Recognize key AI use cases in manufacturing and automation.
• Explore how AI facilitates predictive maintenance, quality control, and process optimization.
• Assess the steps required to launch AI-driven initiatives.

Course Format

• Interactive lectures and discussions.
• Real-world case studies and group exercises.
• Strategic frameworks and implementation guidance.

Course Customization Options

• For customized training requests, please contact us to arrange.

CANoe is a comprehensive software tool developed by Vector that is used for the development, testing, and analysis of in-vehicle networks and ECUs, especially those using the CAN (Controller Area Network) protocol.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level automotive engineers and testers who wish to use CANoe to simulate, test, and analyze CAN-based communication systems..

By the end of this training, participants will be able to:

• Install and configure CANoe and its components
• Understand CAN protocol fundamentals and message framing
• Create simulations for ECUs and CAN networks using CAPL scripting
• Monitor, analyze, and debug CAN traffic effectively

This instructor-led, live training in Slovakia (online or onsite) is designed for intermediate to advanced engineers and technicians who want to learn how to program, operate, and optimize Fanuc and Epson robotic systems for industrial use.

By the end of this training, participants will be able to:

• Understand the architecture and functionalities of Fanuc and Epson robots.
• Program robot movements, logic, and sensor integrations.
• Implement safety protocols and troubleshooting techniques.
• Optimize robotic workflows for improved efficiency.

Industrial Robotics Automation: Integrating ROS and PLCs with Digital Twins is a practical course designed to bridge the gap between industrial automation and modern robotics frameworks. Participants will gain expertise in integrating ROS-based robotic systems with PLCs for synchronized operations, while exploring digital twin environments to simulate, monitor, and optimize production processes. The curriculum emphasizes interoperability, real-time control, and predictive analysis using digital replicas of physical systems.

Delivered as instructor-led live training (available online or onsite), this program targets intermediate-level professionals seeking to develop practical skills in connecting ROS-controlled robots with PLC environments and implementing digital twins for automation and manufacturing optimization.

Upon completion of this training, participants will be equipped to:

• Comprehend communication protocols utilized between ROS and PLC systems.
• Implement real-time data exchange mechanisms between robots and industrial controllers.
• Develop digital twins for monitoring, testing, and simulating processes.
• Integrate sensors, actuators, and robotic manipulators into industrial workflows.
• Design and validate industrial automation systems using hybrid simulation environments.

Course Format

• Interactive lectures and architecture walkthroughs.
• Hands-on exercises focused on integrating ROS and PLC systems.
• Implementation of simulation and digital twin projects.

Course Customization Options

• To request customized training for this course, please contact us to arrange details.

This instructor-led, live training in Slovakia (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level engineers and technicians who wish to use XGT Series PLCs to configure hardware, manage modules, and maintain stable PLC systems.

By the end of this training, participants will be able to: identify XGT hardware components, configure PLC system modules, perform backup and diagnostic tasks, and troubleshoot common hardware issues.

This live, instructor-led training in Slovakia (available online or on-site) is designed for PLC users seeking to utilize XG5000 for creating, testing, downloading, monitoring, and troubleshooting PLC applications.

After completing this training, attendees will be capable of: establishing and managing projects, configuring hardware and communications, developing ladder logic, and troubleshooting PLC faults.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level automation engineers and control system designers who wish to implement motion control solutions using Omron PLCs.

By the end of this training, participants will be able to:

• Understand fundamental motion control concepts and their applications.
• Configure motion hardware and software in Sysmac Studio.
• Program and optimize single-axis and multi-axis motion control.
• Implement coordinated motion strategies, including interpolation and synchronization.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level programmers who wish to enhance their skills in Omron PLC programming, HMI configuration, motion control, and safety systems.

By the end of this training, participants will be able to:

• Configure and program Omron PLCs using Sysmac Studio.
• Understand and apply IEC concepts in ladder logic and structured text programming.
• Develop motion control programs for single-axis and coordinated movements.
• Create HMI interfaces using the NA series and integrate them with Sysmac controllers.
• Implement and simulate safety standards and programs using NX series safety hardware.

This course provides an introduction to the core principles of Programmable Logic Controllers (PLC). Following an overview of PLC fundamentals, participants will learn and apply essential Ladder Diagram instructions to real-world Industrial Automation scenarios. Target audience includes Electrical Specialists, Mechanical Engineers, and Programmers interested in Industrial Automation.

A Remote Terminal Unit (RTU) serves as an essential field device designed to gather data, relay signals, and execute control commands within power system and automation networks.

This instructor-led live training (available online or onsite) targets intermediate-level professionals looking to master RTU configuration for automation and control operations in power cell environments.

Upon completing this training, participants will be able to:

• Properly set up RTU hardware and map input/output channels.
• Configure communication parameters to ensure seamless integration with SCADA and control systems.
• Develop logic, alarms, and control strategies within RTU platforms.
• Effectively troubleshoot performance and communication issues related to RTUs.

Course Format

• Instructor-led presentations featuring real-world case studies.
• Practical exercises and hands-on configuration activities.
• Live demonstrations of RTU control workflows and communication.

Customization Options

• Customized versions of the course are available, tailored to specific RTU hardware models or control environments.

A Smart Robot is an Artificial Intelligence (AI) system that can learn from its environment and its experience and build on its capabilities based on that knowledge. Smart Robots can collaborate with humans, working along-side them and learning from their behavior. Furthermore, they have the capacity for not only manual labor, but cognitive tasks as well. In addition to physical robots, Smart Robots can also be purely software based, residing in a computer as a software application with no moving parts or physical interaction with the world.

In this instructor-led, live training, participants will learn the different technologies, frameworks and techniques for programming different types of mechanical Smart Robots, then apply this knowledge to complete their own Smart Robot projects.

The course is divided into 4 sections, each consisting of three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section will conclude with a practical hands-on project to allow participants to practice and demonstrate their acquired knowledge.

The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.

By the end of this training, participants will be able to:

• Understand the key concepts used in robotic technologies
• Understand and manage the interaction between software and hardware in a robotic system
• Understand and implement the software components that underpin Smart Robots
• Build and operate a simulated mechanical Smart Robot that can see, sense, process, grasp, navigate, and interact with humans through voice
• Extend a Smart Robot's ability to perform complex tasks through Deep Learning
• Test and troubleshoot a Smart Robot in realistic scenarios

Audience

• Developers
• Engineers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• To customize any part of this course (programming language, robot model, etc.) please contact us to arrange.