Programming and Operating Fanuc and Epson Robots Training Course

The Allen Bradley platform represents a prominent industrial automation ecosystem designed for configuring, controlling, and integrating programmable logic controllers (PLCs), human-machine interfaces (HMIs), and networked equipment.

This instructor-led live training, available both online and on-site, targets intermediate automation professionals seeking to interconnect and integrate Allen Bradley devices using Ethernet to ensure seamless communication among PLCs, HMIs, servers, and routers.

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

• Establish Ethernet-based communication within the Allen Bradley ecosystem.
• Integrate PLCs, HMIs, servers, and routers utilizing standard communication protocols.
• Deploy practical network topologies for automation systems.
• Resolve device connectivity and data exchange challenges.

Course Format

• Guided instruction featuring demonstrations with Allen Bradley software tools.
• Practical integration exercises involving Ethernet-connected devices.
• Real-world configuration and testing within a live laboratory setting.

Customization Options

• Specialized training modules can be tailored to specific device models or network architectures.

This instructor-led, live training in Bulgaria (online or onsite) targets beginner to intermediate engineers and technicians who aim 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 monitoring. By leveraging advanced geodetic principles, real-time modeling, and high-accuracy drone mapping, professionals can achieve greater insight, precision, and efficiency in construction environments.

This instructor-led live training (available online or onsite) targets intermediate to advanced professionals seeking to implement sophisticated drone and photogrammetry workflows. Participants will learn to apply 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 suitable for large-scale infrastructure sites.
• Design precision flight missions tailored to complex terrain and infrastructure geometry.
• Analyze photogrammetry data using GIS software for structural health assessment, deformation tracking, and compliance monitoring.

Course Format

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

Customization Options

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

AI in Smart Factories refers to the use of artificial intelligence to automate, monitor, and optimize industrial operations in real time.

This instructor-led, live training (online or onsite) is aimed at beginner-level decision-makers and technical leads who wish to gain a strategic and practical introduction to how AI can be leveraged 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 Electronic Control Units (ECUs), with a particular focus on those utilizing the CAN (Controller Area Network) protocol.

This instructor-led live course, available online or in-person, is tailored for beginner to intermediate automotive engineers and testers who aim to leverage CANoe to simulate, test, and analyze CAN-based communication systems.

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

• Installing and setting up CANoe along with its associated components
• Gaining a solid understanding of CAN protocol basics and message structuring
• Developing simulations for ECUs and CAN networks using CAPL scripting
• Effectively monitoring, analyzing, and troubleshooting CAN traffic

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

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

• Gain a solid understanding of the fundamentals of drones and photogrammetry.
• Create and execute drone flight plans tailored for construction sites.
• Conduct photogrammetry tracking to generate detailed maps and 3D models.
• Leverage photogrammetry data for infrastructure supervision and identifying potential issues.
• Apply drone technology to enhance safety and operational 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: Integrating ROS with PLCs and Digital Twins is a practical, hands-on course designed to bridge the gap between industrial automation and contemporary robotics frameworks. Participants will learn how to seamlessly integrate ROS-based robotic systems with PLCs to achieve synchronized operations. The course also explores digital twin environments, enabling learners to simulate, monitor, and optimize production processes. A strong emphasis is placed on interoperability, real-time control, and predictive analysis utilizing 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 efficiency.

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

• Grasp the communication protocols used between ROS and PLC systems.
• Implement real-time data exchange mechanisms between robots and industrial controllers.
• Create digital twins for monitoring, testing, and simulating processes.
• Integrate sensors, actuators, and robotic manipulators into industrial workflows.
• Design and validate industrial automation systems using hybrid simulation environments.

Course Format

• Interactive lectures and architectural walkthroughs.
• Hands-on exercises focused on integrating ROS and PLC systems.
• Implementation of simulation and digital twin projects.

Customization Options

• For a tailored training experience, please contact us to arrange your customized course.

This instructor-led, live training in Bulgaria (online or onsite) is aimed at beginner-level, intermediate-level, and 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 live, instructor-led training in Bulgaria (online or onsite) is designed 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 equipped to:

• Grasp fundamental motion control principles and their practical applications.
• Set up motion hardware and software configurations within Sysmac Studio.
• Program and optimize motion control for both single-axis and multi-axis systems.
• Deploy coordinated motion strategies, such as interpolation and synchronization.

This instructor-led, live training in Bulgaria (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 an overview of the fundamental principles of Programmable Logic Controllers (PLC). Following an exploration of core PLC concepts, students learn and apply essential Ladder Diagram instructions to solve challenges in Industrial Automation. This program is designed for Electrical Specialists, Mechanical Engineers, and Programmers with a keen interest in Industrial Automation.

This hands-on course, "Practical Rapid Prototyping for Robotics with ROS 2 & Docker," is designed to assist developers in efficiently building, testing, and deploying robotic applications. Participants will acquire the skills to containerize robotics environments, integrate ROS 2 packages, and create modular robotic systems using Docker, ensuring both reproducibility and scalability. The curriculum emphasizes agility, version control, and collaborative practices ideal for early-stage development and innovation teams.

Delivered by an instructor, this live training (available online or onsite) targets beginner to intermediate-level participants aiming to accelerate their robotics development workflows using ROS 2 and Docker.

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

• Configure a ROS 2 development environment within Docker containers.
• Develop and test robotic prototypes in modular, reproducible setups.
• Utilize simulation tools to validate system behavior prior to hardware deployment.
• Collaborate effectively through containerized robotics projects.
• Implement continuous integration and deployment concepts within robotics pipelines.

Format of the Course

• Interactive lectures and demonstrations.
• Hands-on exercises involving ROS 2 and Docker environments.
• Mini-projects centered 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 Bulgaria, 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 Bulgaria (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.