Programming and Operating Fanuc and Epson Robots Training Course

The Allen Bradley platform serves as a highly prevalent industrial automation ecosystem, enabling the configuration, control, and integration of PLCs, HMIs, and networked devices.

This live training, led by an instructor and available either online or onsite, is designed for intermediate-level automation professionals seeking to interconnect and integrate Allen Bradley devices using Ethernet, thereby facilitating 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 environment.
• Integrate PLCs, HMIs, servers, and routers utilizing standard communication protocols.
• Deploy practical network topologies for automation systems.
• Diagnose and resolve device connectivity and data exchange challenges.

Course Format

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

Course Customization Options

• Tailored training versions can be organized to address specific device models or network architectures.

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

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

• Grasp the function and applications of AB PLCs within the manufacturing sector.
• 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.

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

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced-level professionals seeking to apply sophisticated drone and photogrammetry workflows. These include geodetic controls and high-precision mapping techniques tailored to complex infrastructure projects.

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

• Apply 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 track structural health, deformation, and 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 customized training 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 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 optimization.
• 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 robust software solution created by Vector, designed for the development, testing, and analysis of in-vehicle networks and ECUs, particularly those utilizing the CAN (Controller Area Network) protocol.

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

Upon completion of this training, participants will be capable of:

• Installing and configuring CANoe along with its associated components
• Grasping the fundamentals of the CAN protocol and message framing
• Developing simulations for ECUs and CAN networks using CAPL scripting
• Effectively monitoring, analyzing, and debugging CAN traffic

This instructor-led live training in Argentina (online or onsite) is designed for participants from beginner to intermediate levels who wish to learn how to utilize drones and photogrammetry techniques for infrastructure supervision in construction projects.

Upon completion 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 unmanned aerial vehicle designed for complex aerial missions, inspections, and data acquisition.

This instructor-led live training, available online or on-site, is designed for beginner to intermediate operators looking to safely and effectively utilize the Evo Max 4T for professional purposes and prepare for official certification.

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

• Grasp the technical specifications and operational mechanics of the Evo Max 4T drone.
• Implement safety protocols during aerial activities.
• Adhere to current AAC guidelines and local drone regulations.
• Apply best practices for efficient and secure drone operations.
• Prepare for certification and licensing through comprehensive theoretical and practical instruction.

Course Format

• Interactive lectures and discussions.
• Hands-on experience with drone hardware and simulation software.
• Practical exercises and real-world flight scenarios.

Customization Options

• To arrange a customized training program for this course, please contact us to make the necessary arrangements.

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 learn how to integrate ROS-based robotic systems with PLCs to achieve synchronized operations, while exploring digital twin environments to simulate, monitor, and optimize production processes. The curriculum emphasizes interoperability, real-time control, and predictive analysis through the use of digital replicas of physical systems.

This instructor-led, live training (available online or onsite) targets 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 optimization.

By the conclusion of this training, participants will be capable of:

• Understanding the communication protocols used between ROS and PLC systems.
• Implementing real-time data exchange mechanisms between robots and industrial controllers.
• Developing digital twins for monitoring, testing, and process simulation.
• Integrating sensors, actuators, and robotic manipulators into industrial workflows.
• Designing and validating industrial automation systems using hybrid simulation environments.

Course Format

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

This instructor-led, live training in Argentina (online or onsite) is aimed at beginner-level / intermediate-level / 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 Argentina (online or onsite) is designed for intermediate-level automation engineers and control system designers who wish 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 both motion hardware and software within Sysmac Studio.
• Program and optimize motion control for single-axis and multi-axis systems.
• Execute coordinated motion strategies, including interpolation and synchronization.

This instructor-led, live training in Argentina (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 a foundational understanding of Programmable Logic Controllers (PLC). Following an exploration of core PLC concepts, learners will acquire and apply essential Ladder Diagram instructions to practical Industrial Automation scenarios. Target Audience: Electrical Specialists, Mechanical Engineers, and Programmers interested in Industrial Automation.

This practical course on Rapid Prototyping in Robotics with ROS 2 and Docker provides developers with the skills to efficiently build, test, and deploy robotic applications. Learners will acquire knowledge on containerizing robotic environments, integrating ROS 2 packages, and prototyping modular robotic systems using Docker to ensure reproducibility and scalability. The curriculum focuses on agility, version control, and collaboration techniques tailored for early-stage development and innovation teams.

This instructor-led live training, available online or onsite, targets beginner to intermediate participants seeking to speed up their robotics development workflows through ROS 2 and Docker.

Upon completion of this training, participants will be capable of:

• Establishing a ROS 2 development environment within Docker containers.
• Developing and testing robotic prototypes in modular, reproducible configurations.
• Utilizing simulation tools to verify system behavior prior to hardware deployment.
• Collaborating effectively through containerized robotics projects.
• Applying continuous integration and deployment principles within robotics pipelines.

Course Structure

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

Customization Options

• For requests regarding customized training for this course, please contact us to arrange it.

During this instructor-led live training in Argentina, 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 Argentina (online or onsite) targets beginner to intermediate, and potentially advanced-level robotics developers who want to learn how to use ROS to program mobile robots with Python.

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

• Configure a development environment that includes ROS, Python, and a mobile robot platform.
• Create and execute ROS nodes, topics, services, and actions using Python.
• Employ ROS tools and utilities to monitor and debug ROS applications.
• Utilize ROS packages and libraries to perform standard tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Troubleshoot and debug ROS applications.