LS Electric XGT Series PLC Hardware Configuration and Management Training Course

The Allen Bradley platform is a broadly utilized industrial automation ecosystem designed for configuring, controlling, and integrating PLCs, HMIs, and networked devices.

This instructor-led live training (available online or onsite) targets intermediate-level automation professionals seeking to interconnect and integrate Allen Bradley devices via Ethernet, enabling 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.
• Deploy 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

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

This instructor-led, live training in Serbia (online or onsite) targets beginner to intermediate 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 refers to the deployment of AI technologies to automate, oversee, and enhance industrial operations in real-time.

This instructor-led live training, available both online and 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 completion of this training, participants will be able to:

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

Course Format

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

Customization Options

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

Developed by Vector, CANoe is a robust software solution designed for the creation, evaluation, and examination of in-vehicle networks and ECUs, particularly those utilizing the CAN (Controller Area Network) protocol.

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

Upon completing this training, participants will be capable of:

• Installing and setting up CANoe along with its associated components
• Grasping the core principles of the CAN protocol and message framing
• Developing simulations for ECUs and CAN networks through CAPL scripting
• Effectively monitoring, analyzing, and troubleshooting CAN traffic

This instructor-led, live training in Serbia (online or onsite) is aimed at intermediate-level to advanced-level 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: ROS-PLC Integration & Digital Twins is a practical course designed to bridge the gap between industrial automation and modern robotic frameworks. Participants will learn how to integrate ROS-based robotic systems with PLCs for synchronized operations and explore digital twin environments to simulate, monitor, and optimize production processes. The course emphasizes interoperability, real-time control, and predictive analysis using digital replicas of physical systems.

This instructor-led, live training (available online or onsite) is aimed at intermediate-level professionals who wish to build practical skills in connecting ROS-controlled robots with PLC environments and implementing digital twins for automation and manufacturing optimization.

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

• Understand the communication protocols used between ROS and PLC systems.
• Implement real-time data exchange between robots and industrial controllers.
• Develop digital twins for monitoring, testing, and process simulation.
• Integrate sensors, actuators, and robotic manipulators within industrial workflows.
• Design and validate industrial automation systems using hybrid simulation environments.

Format of the Course

• Interactive lectures and architecture walkthroughs.
• Hands-on exercises integrating ROS and PLC systems.
• Simulation and digital twin project implementation.

Course Customization Options

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

This live, instructor-led training, available in Serbia (online or onsite), targets PLC users seeking to utilize XG5000 for creating, testing, downloading, monitoring, and troubleshooting PLC programs.

By the conclusion of this training, participants will be able to create and manage projects, configure hardware and communications, develop ladder logic, and diagnose PLC faults.

This instructor-led live training, held Serbia (online or onsite), is designed for intermediate-level automation engineers and control system designers who aim 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 Serbia (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 introduces the student to the basics of Programmable Logic Controllers (PLC). After the discussion of the fundamental concept of PLCs the basic Ladder Diagram instructions are learned and practiced in Industrial Automation tasks. Audience - Electrical Specialists - Mechanical Engineers - Programmers with interest in Industrial Automation

This instructor-led, live training in Serbia (online or onsite) is aimed at beginner-level automation engineers and enthusiasts who wish to learn the fundamentals of PLC ladder programming and apply it 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 a vital field device responsible for gathering data, transmitting signals, and executing control commands within automation and power network infrastructures.

This instructor-led live training, available either online or in-person, is designed for intermediate-level professionals seeking 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 its input and output channels.
• Configure communication settings to integrate seamlessly with SCADA and control systems.
• Deploy logic, alarms, and control strategies within RTU platforms.
• Effectively troubleshoot performance and communication challenges related to RTUs.

Course Delivery Format

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

Customization Opportunities

• Tailored course versions can be developed based on 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 observing their behavior to learn. Moreover, they are capable of performing not only physical labor but also cognitive tasks. Beyond physical hardware, Smart Robots can also be entirely software-based, existing within a computer as a software application without moving parts or direct physical interaction with the world.

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

The course is divided into four sections, each 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, allowing participants to practice and demonstrate their acquired knowledge.

The target hardware for this course will be 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:

• Grasp the key concepts underlying robotic technologies
• Understand and manage the interaction between software and hardware in a robotic system
• Understand and implement the software components that support Smart Robots
• Build and operate a simulated mechanical Smart Robot capable of seeing, sensing, processing, grasping, navigating, and interacting with humans via voice
• Enhance 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 mix of lectures, discussions, exercises, and extensive hands-on practice

Note

• To customize any aspect of this course (e.g., programming language, robot model), please contact us to make arrangements.