Programming and Operating Fanuc and Epson Robots Training Course

The Allen Bradley platform serves as a pervasive industrial automation ecosystem designed for configuring, controlling, and integrating 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.
• Deploy real-world network topologies for automation systems.
• Troubleshoot issues related to device connectivity and data exchange.

Course Format

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

Course Customization Options

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

This instructor-led, live training in South Korea (online or onsite) is designed for beginner to intermediate engineers and technicians seeking to master the fundamentals of AB PLCs and apply them to real-world manufacturing scenarios.

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

• Grasp the role and applications of AB PLCs within the manufacturing sector.
• Program AB PLCs using RSLogix 5000/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.

Drones and photogrammetry have become indispensable tools for high-precision infrastructure supervision. By integrating advanced geodesy principles, real-time modeling, and high-accuracy drone mapping, professionals can gain deeper insights, enhance accuracy, and boost productivity in construction environments.

This instructor-led, live training, available both online and onsite, is designed for intermediate to advanced professionals seeking to apply sophisticated drone and photogrammetry workflows—including geodetic controls and high-precision mapping techniques—to complex infrastructure projects.

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

• Implement advanced photogrammetric methods, including RTK/PPK workflows and ground control calibration.
• Integrate geodetic reference systems and projections for large-scale infrastructure sites.
• Design precision flight missions tailored to complex terrain and infrastructure geometry.
• Analyze photogrammetry data using GIS software to monitor structural health, detect deformation, and track compliance.

Format of the Course

• Interactive lectures and discussions.
• Advanced exercises and real-world case studies.
• Hands-on implementation with drone data and modeling tools.

Course Customization Options

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

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 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 use cases in manufacturing and automation.
• Examine how AI facilitates predictive maintenance, quality control, and process optimization.
• Assess the steps required to initiate AI-driven projects.

Format of the Course

• Interactive lectures and discussions.
• 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 South Korea (online or onsite) is designed for participants at the beginner to intermediate level who wish to learn how to utilize drones and photogrammetry techniques for infrastructure supervision in construction projects.

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

• Understand the fundamentals of drones and photogrammetry.
• Develop and execute drone flight plans for construction sites.
• Perform photogrammetry tracking and create detailed maps and 3D models.
• Use photogrammetry data for infrastructure supervision and issue detection.
• Apply drone technology to improve construction site safety and efficiency.

The Evo Max 4T is a professional-grade drone engineered for advanced aerial operations, detailed inspections, and comprehensive data collection.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate-level operators seeking to utilize the Evo Max 4T safely and effectively for professional purposes while preparing for official certification.

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

• Comprehend the technical specifications and operational mechanisms of the Evo Max 4T drone.
• Implement operational safety protocols during aerial activities.
• Ensure compliance with current AAC and local drone regulations.
• Adopt best practices for efficient and secure drone operations.
• Prepare for certification and licensing through a combination of theoretical knowledge and practical skills.

Course Format

• Interactive lectures and discussions.
• Hands-on training with drone equipment and flight simulators.
• Practical exercises and real-world flight scenarios.

Course Customization Options

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

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

This instructor-led live training is available in both online and onsite formats, catering to intermediate-level professionals seeking to develop practical skills 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 equipped to:

• Comprehend the communication protocols linking ROS and PLC systems.
• Execute real-time data exchange between robotic units and industrial controllers.
• Create digital twins for monitoring, testing, and simulating processes.
• Seamlessly integrate sensors, actuators, and robotic manipulators into industrial workflows.
• Design and validate industrial automation systems using hybrid simulation environments.

Course Format

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

Course Customization Options

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

This instructor-led, live training in South Korea (online or onsite) is aimed at beginner-level, intermediate-level, or 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 instructor-led, live training in South Korea (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 South Korea (online or onsite) targets automation engineers and control system designers who wish to configure, program, and commission Omron Sysmac systems, including NJ/NX controllers, EtherCAT networking, G5/1S/1SA servo drives, NA Series HMI, and NX safety hardware.

This course provides an overview of the foundational principles of Programmable Logic Controllers (PLC). Following an exploration of core PLC concepts, students will learn and apply basic Ladder Diagram instructions within the context of Industrial Automation. This course is designed for Electrical Specialists, Mechanical Engineers, and Programmers interested in Industrial Automation.

Practical Rapid Prototyping for Robotics with ROS 2 & Docker is a hands-on course designed to help developers build, test, and deploy robotic applications efficiently. Participants will learn how to containerize robotics environments, integrate ROS 2 packages, and prototype modular robotic systems using Docker for reproducibility and scalability. The course emphasizes agility, version control, and collaboration practices suitable for early-stage development and innovation teams.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to accelerate robotics development workflows using ROS 2 and Docker.

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

• Set up a ROS 2 development environment within Docker containers.
• Develop and test robotic prototypes in modular, reproducible setups.
• Use simulation tools to validate system behavior before hardware deployment.
• Collaborate effectively using containerized robotics projects.
• Apply continuous integration and deployment concepts in robotics pipelines.

Format of the Course

• Interactive lectures and demonstrations.
• Hands-on exercises with ROS 2 and Docker environments.
• Mini-projects focused on real-world robotic applications.

Course Customization Options

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

In this instructor-led live training in South Korea, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools.

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

• Understand the basics of ROS.
• Learn how to create a basic robotics project using ROS.
• Learn how to use different tools for robotics including simulation and visualization tools.

This instructor-led live training in South Korea (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.

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

• Set up a development environment that includes ROS, Python, and a mobile robot platform.
• Create and run ROS nodes, topics, services, and actions using Python.
• Use ROS tools and utilities to monitor and debug ROS applications.
• Use ROS packages and libraries to perform common tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Troubleshooting and debugging ROS applications.