PLC Ladder Programming 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.

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 intermediate to advanced engineers and technicians who aim to master the programming, operation, and optimization of Fanuc and Epson robotic systems for industrial applications.

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

• Comprehend 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 to enhance efficiency.

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 instructor-led live training in Bulgaria (online or onsite) targets PLC users aiming to utilize XG5000 for creating, testing, downloading, monitoring, and troubleshooting PLC programs.

By the end of the training, participants will be able to create and manage projects, configure hardware and communications, develop ladder logic, and diagnose PLC faults.

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 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 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.

A Remote Terminal Unit (RTU) serves as an essential field device designed to gather data, relay signals, and execute control commands within power systems and automation networks.

This instructor-led live training, available either online or in person, targets intermediate-level professionals seeking to configure RTUs for automation and control tasks within power cell environments.

Upon completing this training, participants will be capable of:

• Installing RTU hardware and accurately mapping input/output channels.
• Setting up communication parameters to ensure seamless integration with SCADA and control systems.
• Deploying logic, alarms, and control strategies on RTU platforms.
• Effectively diagnosing and resolving RTU performance and communication issues.

Course Format

• Instructor-led presentations enriched with real-world case studies.
• Practical hands-on exercises and configuration activities.
• Live demonstrations of RTU communication and control workflows.

Course Customization Options

• Tailored course versions are available to address specific RTU hardware models or control environments.

A Smart Robot is an Artificial Intelligence (AI) system capable of learning from its environment and experiences to expand its capabilities based on that acquired knowledge. These robots can collaborate with humans, working alongside them and learning from their behavior. They are equipped not only for manual labor but also for cognitive tasks. In addition to physical robots, Smart Robots can be entirely software-based, residing in a computer as an application without moving parts or physical interaction with the real 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, then apply this knowledge to complete their own Smart Robot projects.

The course is divided into 4 sections, each comprising three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section concludes with a practical hands-on project, allowing participants to practice and demonstrate their newly acquired knowledge.

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

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

• Understand the key concepts used in robotic technologies
• Understand and manage the interaction between software and hardware in a robotic system
• Understand and implement the software components that underpin Smart Robots
• Build and operate a simulated mechanical Smart Robot capable of seeing, sensing, processing, grasping, navigating, and interacting with humans through voice
• Extend 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.