LS Electric XGT Series PLC Hardware Configuration and Management Training Course

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

This instructor-led live training, available both online and onsite, targets intermediate-level automation professionals seeking to interconnect and integrate Allen Bradley automation devices via 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 standard communication protocols.
• Implement real-world network topologies for automation systems.
• Troubleshoot device connectivity and data exchange issues.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Czech Republic (online or onsite) is aimed at beginner-level to intermediate-level engineers and technicians who wish to master the fundamentals of AB PLCs and apply them to real-world manufacturing scenarios.

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

• Understand the role and applications of AB PLCs in the manufacturing industry.
• Program AB PLCs using RSLogix 5000/Studio 5000.
• Troubleshoot 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.

Artificial intelligence in smart factories involves applying AI technologies 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 within smart factory environments.

Upon completing this training, participants will be able to:

• Grasp the fundamental principles of AI and machine learning.
• Recognize key AI use cases in manufacturing and automation sectors.
• Explore how AI facilitates predictive maintenance, quality control, and process optimization.
• Assess the necessary steps for initiating AI-driven projects.

Course Format

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

Course Customization Options

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

Developed by Vector, CANoe is a robust software solution designed for the development, testing, and analysis of in-vehicle networks and Electronic Control Units (ECUs), particularly those utilizing the CAN (Controller Area Network) protocol.

This live, instructor-led course (available online or onsite) targets automotive engineers and testers at beginner to intermediate levels who seek to leverage CANoe for simulating, testing, and analyzing CAN-based communication systems.

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

• Install and configure CANoe alongside its necessary components
• Grasp the core principles of the CAN protocol and message framing
• Develop simulations for ECUs and CAN networks using CAPL scripting
• Effectively monitor, analyze, and debug CAN traffic

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

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 with PLCs and Digital Twins is a practical course designed to bridge the gap between traditional industrial automation and modern robotics frameworks. Participants will gain the skills needed to integrate ROS-based robotic systems with PLCs for synchronized operations, while also exploring digital twin environments to simulate, monitor, and optimize production processes. The course places a strong emphasis on interoperability, real-time control, and predictive analysis by leveraging digital replicas of physical systems.

This instructor-led live training is available both online and onsite, targeting intermediate-level professionals who want to develop practical expertise in connecting ROS-controlled robots with PLC environments and implementing digital twins to enhance automation and manufacturing efficiency.

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

• Comprehend the communication protocols used between ROS and PLC systems.
• Implement real-time data exchange mechanisms between robots and industrial controllers.
• Create 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 accompanied by architecture walkthroughs.
• Practical exercises focused on integrating ROS and PLC systems.
• Implementation of simulation and digital twin projects.

Customization Options

This instructor-led, live training held in Czech Republic (available online or onsite) targets PLC users aiming to utilize XG5000 for the creation, testing, downloading, monitoring, and troubleshooting of PLC programs.

By the conclusion of this training, attendees will be capable of creating and managing projects, configuring hardware and communication settings, developing ladder logic, and identifying PLC faults.

This instructor-led, live training in Czech Republic (online or on-site) targets intermediate-level automation engineers and control system designers who aim to implement motion control solutions using Omron PLCs.

By the conclusion 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 Czech Republic (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 fundamental principles of Programmable Logic Controllers (PLC). Following a discussion on core PLC concepts, students will learn and apply basic Ladder Diagram instructions to practical Industrial Automation tasks. Target audience: Electrical Specialists, Mechanical Engineers, and Programmers with an interest in Industrial Automation.

This instructor-led, live training in Czech Republic (online or onsite) is designed for beginner-level automation engineers and enthusiasts who want to learn the fundamentals of PLC ladder programming and apply them in industrial and personal projects.

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

• Understand the basic concepts and applications of PLCs in automation systems.
• Write simple and advanced ladder programs using logical functions and memory management.
• Integrate PLCs with networks for broader system applications.
• Apply learned skills to create and test real-world automation scenarios.

A Remote Terminal Unit (RTU) serves as an essential field device responsible for data acquisition, signal transmission, and the execution of control commands within power system and automation networks.

This instructor-led live training, available both online and on-site, is designed for professionals with intermediate-level expertise who aim to configure RTUs for automation and control operations within power cell environments.

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

• Properly configure RTU hardware and map input and output channels.
• Set up communication parameters to facilitate integration with SCADA and control systems.
• Deploy logic, alarms, and control strategies on RTU platforms.
• Effectively troubleshoot performance and communication issues related to RTUs.

Course Format

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

Customization Options

• Course versions can be tailored to specific RTU hardware models or control environments.

A Smart Robot is an Artificial Intelligence (AI) system capable of learning from its environment and experiences, thereby enhancing its capabilities based on that acquired knowledge. These robots can collaborate with humans, working alongside them and learning from human behavior. Beyond mere manual labor, Smart Robots are equipped to handle cognitive tasks as well. In addition to physical machines, Smart Robots can also be purely software-based, operating as applications within a computer without moving parts or direct physical interaction with the physical world.

In this instructor-led live training, participants will explore the various technologies, frameworks, and techniques required to program different types of mechanical Smart Robots, applying this knowledge to complete their own Smart Robot projects.

The course is structured into 4 sections, with each section comprising three days of lectures, discussions, and hands-on robot development within a live lab environment. Each section concludes with a practical, hands-on project to allow participants to practice and demonstrate their newly acquired knowledge.

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

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

• Understand the key concepts underpinning robotic technologies
• Understand and manage the interaction between software and hardware in a robotic system
• Understand and implement the software components that form the foundation of Smart Robots
• Build and operate a simulated mechanical Smart Robot capable of seeing, sensing, processing, grasping, navigating, and interacting with humans via 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

• A combination of lectures, discussions, exercises, and extensive hands-on practice

Note

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