PLC Ladder Programming Training Course

The Allen Bradley platform serves as a prevalent industrial automation ecosystem, utilized for configuring, controlling, and integrating 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 via Ethernet, ensuring seamless communication across 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.
• Deploy practical network topologies for automation systems.
• Troubleshoot device connectivity and data exchange issues.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Romania (online or onsite) is aimed at beginner-level to intermediate-level engineers and technicians 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.

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 seeking a strategic and practical introduction to leveraging AI in smart factory environments.

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

• Grasp 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 systems utilizing the CAN (Controller Area Network) protocol.

This live, instructor-led training (available online or in-person) 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 completing this training, participants will be capable of:

• Installing and setting up CANoe along with its associated components
• Grasping the core principles of the CAN protocol and message structuring
• Developing simulations for ECUs and CAN networks through CAPL scripting
• Efficiently monitoring, analyzing, and troubleshooting CAN traffic

This instructor-led, live training in Romania (online or onsite) targets intermediate to advanced engineers and technicians who wish to learn how to program, operate, and optimize Fanuc and Epson robotic systems for industrial applications.

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

• Understand 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 for improved efficiency.

Industrial Robotics Automation: ROS-PLC Integration & Digital Twins is a practical, hands-on 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 for synchronized operations, while exploring digital twin environments to simulate, monitor, and optimize production processes. The course places a strong emphasis on interoperability, real-time control, and predictive analysis using digital replicas of physical systems.

Delivered as instructor-led live training (available online or onsite), this program targets intermediate-level professionals eager to develop practical skills in connecting ROS-controlled robots with PLC environments and implementing digital twins for automation and manufacturing optimization.

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

• Grasp the communication protocols used between ROS and PLC systems.
• Execute real-time data exchange 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 architecture walkthroughs.
• Hands-on exercises focusing on integrating ROS and PLC systems.
• Implementation of simulation and digital twin projects.

Course Customization Options

• For customized training requests for this course, please contact us to make arrangements.

This instructor-led live training in Romania (online or onsite) targets beginner, intermediate, 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 Romania (online or onsite) targets PLC users who wish to leverage XG5000 for creating, testing, downloading, monitoring, and troubleshooting PLC programs.

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

This instructor-led live training in Romania (online or onsite) is designed for intermediate-level automation engineers and control system designers seeking to implement motion control solutions using Omron PLCs.

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

• Understand fundamental motion control concepts and their applications.
• Configure motion hardware and software in Sysmac Studio.
• Program and optimize single-axis and multi-axis motion control.
• Implement coordinated motion strategies, including interpolation and synchronization.

This instructor-led, live training in Romania (online or onsite) is designed for intermediate-level programmers looking to improve their expertise in Omron PLC programming, HMI configuration, motion control, and safety systems.

Upon completion 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 students with a foundational understanding of Programmable Logic Controllers (PLCs). Following an exploration of core PLC concepts, participants will learn and apply basic Ladder Diagram instructions within the context of Industrial Automation. Target audience: Electrical Specialists, Mechanical Engineers, and Programmers with an interest in Industrial Automation.

A Remote Terminal Unit (RTU) is a vital field device responsible for gathering data, transmitting signals, and executing control commands within power system and automation networks.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals seeking to configure RTUs for automation and control operations in power cell environments.

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

• Install RTU hardware and correctly map input/output channels.
• Set communication parameters for seamless integration with SCADA and control systems.
• Deploy logic, alarms, and control strategies within RTU platforms.
• Effectively troubleshoot RTU performance and communication challenges.

Course Format

• Instructor-guided presentations supported by real-world examples.
• Practical configuration activities and hands-on exercises.
• Live demonstrations of RTU communication and control workflows.

Customization Options

• Tailored course versions are available, based on specific RTU hardware models or control environments.

A Smart Robot is an Artificial Intelligence (AI) system capable of learning from its environment and past experiences, thereby expanding its capabilities based on acquired knowledge. These robots can collaborate with humans, working alongside them and learning from their behaviors. Beyond performing manual labor, they are equipped to handle cognitive tasks. In addition to physical hardware, Smart Robots can also exist as purely software-based applications within a computer, operating without moving parts or direct physical interaction with the world.

In this instructor-led live training, participants will explore the technologies, frameworks, and techniques required to program various types of mechanical Smart Robots, applying this knowledge to complete their own Smart Robot projects.

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

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

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

• Grasp the key concepts underlying robotic technologies
• Understand and manage the interaction between software and hardware in robotic systems
• Understand and implement the software components that form the foundation of Smart Robots
• Build and operate a simulated mechanical Smart Robot capable of seeing, sensing, processing, grasping, navigating, and interacting with humans via voice
• Enhance a Smart Robot's ability to perform complex tasks through Deep Learning
• Test and troubleshoot Smart Robots in realistic scenarios

Audience

• Developers
• Engineers

Format of the course

• Combination of lectures, discussions, exercises, and extensive hands-on practice

Note

• To customize any aspect of this course (such as programming language or robot model), please contact us to arrange.