Programming and Operating Fanuc and Epson Robots 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.

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

This instructor-led live training, available both online and onsite, targets intermediate to advanced professionals eager to apply sophisticated drone and photogrammetry workflows. The curriculum covers geodetic controls and high-precision mapping techniques specifically applied to complex infrastructure projects.

Upon completing this training, participants will be able to:

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

Course Format

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

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 designed for beginner to intermediate-level participants who wish to learn how to apply drone and photogrammetry techniques for infrastructure oversight in construction projects.

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

• Grasp the core principles of drones and photogrammetry.
• Create and execute drone flight plans tailored for construction sites.
• Conduct photogrammetry tracking to produce detailed maps and 3D models.
• Leverage photogrammetry data for infrastructure oversight and identifying issues.
• Utilize drone technology to enhance safety and efficiency on construction sites.

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

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level operators who wish to safely and effectively use the Evo Max 4T for professional applications and prepare for official certification.

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

• Understand the technical specifications and operation of the Evo Max 4T drone.
• Apply operational safety procedures in aerial activities.
• Comply with current AAC and local drone regulations.
• Implement best practices for efficient and safe drone operations.
• Prepare for certification/licensing through theoretical and practical training.

Format of the Course

• Interactive lecture and discussion.
• Hands-on practice with drone equipment and simulators.
• Practical exercises and real flight scenarios.

Course Customization Options

• To request a 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 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) targets 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 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 automation engineers and control system designers who wish to configure, program, and commission Omron Sysmac systems covering NJ/NX controllers, EtherCAT networking, G5/1S/1SA servo drives, NA Series HMI, and NX safety hardware.

This course provides students with an introduction to the fundamentals of Programmable Logic Controllers (PLC). After exploring the core concepts of PLCs, participants will learn and practice basic Ladder Diagram instructions applied to Industrial Automation tasks. Target Audience: Electrical Specialists, Mechanical Engineers, and Programmers interested in Industrial Automation.

This practical course on Rapid Prototyping for Robotics with ROS 2 & Docker is designed to equip developers with the skills to efficiently build, test, and deploy robotic applications. Participants will gain expertise in containerizing robotics environments, integrating ROS 2 packages, and creating modular robotic systems using Docker to ensure reproducibility and scalability. The curriculum focuses on agile methodologies, version control, and collaborative best practices tailored for innovation teams in the early stages of development.

Delivered as instructor-led live training (available online or onsite), this program targets beginner to intermediate-level participants seeking to accelerate their robotics development workflows through the combined power of ROS 2 and Docker.

Upon completion, participants will be able to:

• Configure a ROS 2 development environment within Docker containers.
• Develop and test robotic prototypes using modular and reproducible setups.
• Leverage simulation tools to validate system behavior prior to hardware deployment.
• Foster effective collaboration through containerized robotics projects.
• Implement continuous integration and deployment principles in robotics pipelines.

Course Format

• Interactive lectures paired with live demonstrations.
• Practical exercises involving ROS 2 and Docker environments.
• Mini-projects centered on real-world robotic applications.

Customization Options

• For teams interested in a tailored training experience, please reach out to us to arrange a customized session.

In this instructor-led live training in Mexico, 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 Mexico (online or onsite) is designed for robotics developers at beginner to intermediate levels, potentially extending to advanced practitioners who wish to learn how to program mobile robots using ROS and Python.

By the conclusion 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.
• Troubleshoot and debug ROS applications.