Remote Terminal Unit (RTU) Configuration for Automation and Control Power Systems Training Course

The Allen Bradley platform is a extensively utilized industrial automation ecosystem designed for the configuration, control, and integration of 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 automation devices using Ethernet to enable seamless communication among PLCs, HMIs, servers, and routers.

Upon completing 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 practical network topologies for automation systems.
• Troubleshoot device connectivity and data exchange challenges.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Mexico (online or onsite) is designed for beginner to intermediate-level engineers and technicians who want to master the core concepts of AB PLCs and apply them to practical manufacturing situations.

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

• Comprehend the role and uses of AB PLCs within the manufacturing sector.
• Program AB PLCs using RSLogix 5000/Studio 5000.
• Troubleshoot common problems and carry out maintenance on PLC systems.
• Design and implement a PLC-controlled system for a manufacturing process.
• Show proficiency in PLC programming through a practical project.

Artificial intelligence in smart factories involves using AI to automate, monitor, and optimize industrial operations in real time.

This instructor-led live training, available online or on-site, 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.
• Identify key AI applications in manufacturing and automation.
• Explore how AI facilitates predictive maintenance, quality control, and process optimization.
• Evaluate 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

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

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

This instructor-led training session, available either online or on-site, targets automotive engineers and testers at beginner to intermediate levels who aim to leverage CANoe for simulating, testing, and analyzing CAN-based communication systems.

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

• Install and set up CANoe along with its associated 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 troubleshoot CAN traffic

This instructor-led, live training in Mexico (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 industrial automation with contemporary robotics frameworks. Participants will learn 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 (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 communication protocols 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 lecture 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 instructor-led live training in Mexico (online or onsite) is aimed at beginner, intermediate, and advanced 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 Mexico (online or on-site) targets PLC users who wish to use 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 Mexico (online or on-site) is designed for intermediate-level automation engineers and control system designers seeking to implement motion control solutions using Omron PLCs.

Upon completing this training, participants will be able to:

• Grasp fundamental motion control concepts and their practical applications.
• Configure motion-related hardware and software within Sysmac Studio.
• Program and optimize motion control for both single-axis and multi-axis systems.
• Deploy coordinated motion strategies, including interpolation and synchronization techniques.

This instructor-led, live training in Mexico (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 students with a foundational understanding of Programmable Logic Controllers (PLCs). After covering the core concepts of PLCs, participants will learn and apply basic Ladder Diagram instructions to real-world Industrial Automation tasks. This course is designed for Electrical Specialists, Mechanical Engineers, and Programmers interested in Industrial Automation.

This instructor-led, live training in Mexico (online or in-person) is designed for beginner-level automation engineers and enthusiasts seeking to master the basics of PLC ladder programming and apply them to industrial and personal projects.

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

• Understand the fundamental concepts and applications of PLCs in automation systems.
• Compose simple and advanced ladder programs using logical functions and memory management.
• Integrate PLCs with networks to enhance system applications.
• Utilize learned skills to construct and test practical automation scenarios.

A Smart Robot represents an Artificial Intelligence (AI) system capable of learning from its surroundings and past experiences, thereby enhancing its capabilities through acquired knowledge. These robots can collaborate closely with humans, working alongside them while learning from human behavior. Beyond physical labor, they are equipped to handle cognitive tasks. In addition to hardware robots, Smart Robots can exist as purely software-based applications, running on a computer without physical components or direct 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 organized into 4 sections, each spanning three days of lectures, discussions, and hands-on robot development within a live lab environment. Each section concludes with a practical, hands-on project designed to allow participants to practice and demonstrate their newly acquired skills.

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

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 within 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

• 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.