Programming and Operating Fanuc and Epson Robots Training Course

The Allen Bradley platform stands as a leading industrial automation ecosystem, widely utilized for managing PLCs, HMIs, and networked devices within complex control environments.

Delivered as a live, instructor-led session (either online or onsite), this course is designed for intermediate automation professionals seeking to streamline the interconnection of Allen Bradley devices via Ethernet. The focus is on achieving seamless communication among PLCs, HMIs, servers, and routers.

Upon completion, participants will be equipped to:

• Establish Ethernet-based communication channels within the Allen Bradley environment.
• Integrate PLCs, HMIs, servers, and routers utilizing standard communication protocols.
• Deploy realistic network topologies tailored for automation systems.
• Diagnose and resolve issues related to device connectivity and data exchange.

Course Format

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

Customization Options

• Training content can be tailored to specific device models or network architectures as required.

This guided, live training in Sweden (online or onsite) is designed for engineers and technicians at beginner to intermediate levels who wish to master the fundamentals of AB PLCs and apply them to real-world manufacturing scenarios.

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

• Understand the role and applications of AB PLCs in the manufacturing industry.
• 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 for high-precision infrastructure supervision. By integrating advanced geodesy principles, real-time modeling, and high-accuracy drone mapping, professionals can gain deeper insights, improve accuracy, and boost productivity in construction environments.

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

Upon completing 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 monitor structural health, deformation, and compliance.

Format of the Course

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

Course Customization Options

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

Artificial Intelligence (AI) in smart factories involves applying AI technologies 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 to gain a strategic and practical introduction to leveraging AI within smart factory environments.

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

• Grasp the core principles of AI and machine learning.
• Identify key AI applications 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 training session, available either online or onsite, targets automotive engineers and testers at beginner to intermediate levels who want to leverage CANoe to simulate, test, and analyze CAN-based communication systems.

Upon completing this training, participants will be capable of:

• Installing and configuring CANoe along with its associated components
• Grasping the core principles 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 Sweden (online or onsite) is designed for beginner to intermediate participants who want to learn how to apply drone 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 built for sophisticated aerial operations, 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.
• Apply safety protocols during aerial activities.
• Adhere to current AAC and local drone regulations.
• Implement industry best practices for efficient and secure drone operations.
• Prepare for certification or licensing through comprehensive theoretical and practical training.

Course Format

• Interactive lectures and group discussions.
• Hands-on practice with drone hardware and simulators.
• Practical exercises and real-world flight scenarios.

Customization Options

• For personalized training arrangements, please contact us.

Industrial Robotics Automation: ROS-PLC Integration & Digital Twins is a practical course designed to bridge the gap between industrial automation and contemporary robotics frameworks. Participants will acquire the skills to integrate ROS-based robotic systems with PLCs for synchronized operations, while exploring digital twin environments to simulate, monitor, and optimize production processes. The curriculum places strong emphasis on 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 competencies 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:

• Grasp the communication protocols linking ROS and PLC systems.
• Execute real-time data exchange between robots and industrial controllers.
• Create digital twins for monitoring, testing, and process simulation.
• Incorporate 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 arrange customized training for this course, please contact us.

This live, instructor-led training in Sweden (online or onsite) targets beginner to intermediate to 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 Sweden (available online or onsite) is tailored for intermediate-level automation engineers and control system designers seeking to implement motion control solutions using Omron PLCs.

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

• Grasping core motion control concepts and their practical applications.
• Configuring motion-related hardware and software within Sysmac Studio.
• Programming and optimizing motion control for both single-axis and multi-axis setups.
• Executing coordinated motion strategies, encompassing interpolation and synchronization.

This instructor-led, live training in Sweden (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 overview of Programmable Logic Controllers (PLCs). Following a discussion on the core concepts of PLCs, participants will learn and practice fundamental Ladder Diagram instructions applied to Industrial Automation tasks. Target Audience: Electrical Specialists, Mechanical Engineers, and Programmers interested in Industrial Automation.

This hands-on course on Practical Rapid Prototyping for Robotics with ROS 2 & Docker equips 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 prototyping modular robotic systems using Docker to ensure reproducibility and scalability. The curriculum emphasizes agility, version control, and collaborative practices ideal for early-stage development and innovation teams.

Delivered as live, instructor-led training (available online or onsite), this program targets beginner to intermediate-level participants looking to streamline robotics development workflows using 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 within modular, reproducible setups.
• Utilizing simulation tools to validate system behavior prior to hardware deployment.
• Collaborating effectively through containerized robotics projects.
• Implementing continuous integration and deployment concepts within robotics pipelines.

Course Format

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

Course Customization Options

• For customized training options, please reach out to us to arrange your specific requirements.

In this instructor-led live training in Sweden, 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 Sweden (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.