LS Electric XGT Series PLC Hardware Configuration and Management Training Course

The Allen Bradley platform serves as a prominent industrial automation ecosystem, enabling the configuration, control, and integration of PLCs, HMIs, and connected 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 for seamless communication among PLCs, HMIs, servers, and routers.

Upon completing this training, participants will be equipped to:

• Set up 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.
• Diagnose and resolve device connectivity and data exchange issues.

Course Format

• Guided instruction accompanied by demonstrations using Allen Bradley tools.
• Practical integration exercises involving Ethernet-connected devices.
• Real-world configuration and testing in a live-lab setting.

Customization Options

• Tailored training versions can be arranged to suit specific device models or network architectures.

This instructor-led, live training in Malaysia (online or onsite) is designed for engineers and technicians at the beginner to intermediate levels who aim to master the core principles of AB PLCs and apply them to practical manufacturing scenarios.

Upon completing this training, participants will be able to:

• Grasp the significance and applications of AB PLCs within the manufacturing sector.
• Program AB PLCs using RSLogix 5000/Studio 5000.
• Identify and resolve common issues, as well as perform maintenance on PLC systems.
• Design and deploy a PLC-controlled system for manufacturing processes.
• Showcase proficiency in PLC programming through a hands-on project.

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

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

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

• Understand the core principles of AI and machine learning.
• Identify key AI use cases in manufacturing and automation.
• Explore how AI supports predictive maintenance, quality control, and process optimisation.
• Evaluate the steps involved in launching AI-driven initiatives.

Format of the Course

• Interactive lecture and discussion.
• Real-world case studies and group exercises.
• Strategic frameworks and implementation guidance.

Course Customization Options

• To request a customized training for this course, 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 Malaysia (online or onsite) is targeted at intermediate to advanced-level engineers and technicians who wish to learn how to program, operate, and optimise 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.
• Optimise 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 industrial automation and modern robotics frameworks. Participants will acquire the skills to integrate ROS-based robotic systems with Programmable Logic Controllers (PLCs) for synchronized operations, while also exploring digital twin environments to simulate, monitor, and optimize production processes. The curriculum places a strong emphasis on interoperability, real-time control, and predictive analysis by utilizing digital replicas of physical systems.

This instructor-led, live training, available online or on-site, is tailored for intermediate-level professionals seeking 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:

• Understand the communication protocols governing interaction 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.

Format of the Course

• 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.

This instructor-led live training, available Malaysia (online or onsite), is intended for PLC users aiming to utilize XG5000 to create, test, download, monitor, and troubleshoot PLC programs.

By the end 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 in Malaysia (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 Malaysia (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 acquaints learners with the fundamentals of Programmable Logic Controllers (PLC). Following an exploration of core PLC concepts, students will learn and apply basic Ladder Diagram instructions within Industrial Automation contexts. Audience - Electrical Specialists - Mechanical Engineers - Programmers with interest in Industrial Automation

This instructor-led, live training in Malaysia (available online or on-site) is designed for beginner-level automation engineers and enthusiasts who wish to learn the essentials 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 designed to gather data, relay signals, and carry out control commands within automation and power network infrastructures.

This instructor-led live training, available in both online and onsite formats, targets intermediate-level professionals seeking to configure RTUs for automation and control operations within power cell settings.

Upon completing this training, participants will be able to:

• Establish RTU hardware setup and correctly map input/output channels.
• Set up communication parameters to ensure seamless integration with SCADA and control systems.
• Deploy logic, alarms, and control strategies on RTU platforms.
• Effectively resolve RTU performance and communication challenges.

Course Format

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

Course Customization Options

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

A Smart Robot is an Artificial Intelligence (AI) system capable of learning from its surroundings and experiences, thereby enhancing its capabilities based on acquired knowledge. These robots can collaborate with humans, working alongside them and learning from their behavior. Beyond physical tasks, they are equipped to handle cognitive duties. In addition to physical robots, Smart Robots can exist purely as software applications on a computer, devoid of moving parts or physical interaction with the physical world.

Through this instructor-led live training, participants will explore the various technologies, frameworks, and techniques used 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, each comprising three days of lectures, discussions, and hands-on robot development in 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.

Upon completing this training, participants will be able to:

• Grasp 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
• 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 part of this course (such as programming language, robot model, etc.), please contact us to arrange.