PLC Ladder Programming Training Course

The Allen Bradley platform constitutes a widely utilized industrial automation ecosystem designed for the configuration, control, and integration of PLCs, HMIs, and networked devices.

This live training session, led by an instructor and available either online or onsite, targets intermediate-level automation professionals seeking to interconnect and integrate Allen Bradley devices using Ethernet to achieve seamless communication across PLCs, HMIs, servers, and routers.

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

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

Course Format

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

Customization Options

• Training sessions can be tailored to specific device models or network architectures.

This instructor-led, live training in Greece (online or onsite) is designed for engineers and technicians at beginner to intermediate levels who aim to master the fundamentals of AB PLCs and apply them to practical manufacturing scenarios.

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

• Grasping the function and applications of AB PLCs within the manufacturing sector.
• Programming AB PLCs using RSLogix 5000/Studio 5000.
• Troubleshooting frequent issues and performing maintenance on PLC systems.
• Designing and implementing a PLC-controlled system for a manufacturing process.
• Demonstrating proficiency in PLC programming through a practical project.

AI in Smart Factories refers to the deployment of 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 within smart factory environments.

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

• Grasp the fundamental principles of AI and machine learning.
• Recognize primary AI use cases in manufacturing and automation.
• Examine how AI facilitates predictive maintenance, quality control, and process optimization.
• Assess the stages involved in initiating AI-driven projects.

Course Format

• Interactive lectures and discussions.
• Real-world case studies and collaborative exercises.
• Strategic frameworks and implementation guidance.

Customization Options

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

Developed by Vector, CANoe is a robust software solution designed for the development, testing, and analysis of in-vehicle networks and Electronic Control Units (ECUs), particularly those utilizing the CAN (Controller Area Network) protocol.

This live, instructor-led training, available both online and on-site, targets beginner to intermediate-level automotive engineers and testers looking to leverage CANoe for simulating, testing, and analyzing CAN-based communication systems.

Upon completing this training, participants will be equipped to:

• Install and configure CANoe along with its associated components
• Grasp the fundamental concepts of the CAN protocol and message framing
• Develop simulations for ECUs and CAN networks using CAPL scripting
• Monitor, analyze, and troubleshoot CAN traffic efficiently

This instructor-led, live training in Greece (online or onsite) is designed for intermediate to advanced engineers and technicians seeking 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 for enhanced efficiency.

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 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 aiming to develop practical expertise 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 equipped to:

• Comprehend the communication protocols facilitating interaction between ROS and PLC systems.
• Implement real-time data exchange mechanisms between robots and industrial controllers.
• Develop digital twins for monitoring, testing, and process simulation purposes.
• Integrate sensors, actuators, and robotic manipulators within industrial workflows.
• Design and validate industrial automation systems using hybrid simulation environments.

Format of the Course

• Interactive lectures and architectural 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 Greece (online or on-site) is aimed at 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 instructor-led live training in Greece (online or onsite) targets PLC users aiming to utilize 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 Greece (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 completion of this training, participants will be capable of:

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

This instructor-led, live training in Greece (online or onsite) targets intermediate-level programmers keen on upgrading their skills in Omron PLC programming, HMI configuration, motion control, and safety systems.

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

• Configuring and programming Omron PLCs using Sysmac Studio.
• Understanding and applying IEC concepts in ladder logic and structured text programming.
• Developing motion control programs for single-axis and coordinated movements.
• Creating HMI interfaces using the NA series and integrating them with Sysmac controllers.
• Implementing and simulating safety standards and programs using NX series safety hardware.

This course provides an overview of the fundamentals of Programmable Logic Controllers (PLC). Following a discussion on core PLC concepts, participants will learn and apply basic Ladder Diagram instructions to industrial automation tasks. Ideal for Electrical Specialists, Mechanical Engineers, and Programmers with an interest in Industrial Automation.

A Remote Terminal Unit (RTU) serves as a vital field device designed to gather data, transmit signals, and execute control commands within automation and power network infrastructures.

This instructor-led live training session, available either online or on-site, targets intermediate-level professionals looking to master RTU configuration for automation and control tasks in power cell environments.

Upon completing this training, participants will be able to:

• Configure RTU hardware and accurately map input and output channels.
• Set up communication parameters to ensure seamless integration with SCADA and control systems.
• Deploy logic, alarm mechanisms, and control strategies within RTU platforms.
• Efficiently diagnose and resolve RTU performance and communication challenges.

Course Format

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

Customization Options

• Tailored course versions can be provided based on specific RTU hardware models or control environments.

A Smart Robot represents an Artificial Intelligence (AI) system capable of learning from its surroundings and past experiences, thereby enhancing its capabilities based on that acquired knowledge. These intelligent entities can collaborate with humans, working alongside them and observing their behavior to adapt. Beyond performing manual labor, Smart Robots are equipped to handle complex cognitive tasks. It is important to note that Smart Robots are not limited to physical hardware; they can also exist purely as software 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 various technologies, frameworks, and techniques required to program different types of mechanical Smart Robots. The course culminates in participants applying this knowledge to complete their own Smart Robot projects.

The curriculum is structured into 4 distinct sections. Each section spans three days, featuring lectures, interactive discussions, and hands-on robot development within a live laboratory environment. To ensure practical mastery, each section concludes with a practical, hands-on project, allowing participants to practice and demonstrate their newly acquired skills.

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

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

• Grasp the core concepts underpinning robotic technologies
• Understand and manage the interaction between software and hardware within a robotic system
• Comprehend and implement the software components that form the foundation of Smart Robots
• Construct 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 capacity to execute complex tasks through the application of Deep Learning
• Test and troubleshoot a Smart Robot within realistic scenarios

Audience

• Developers
• Engineers

Format of the course

• A blend of lectures, discussions, exercises, and intensive hands-on practice

Note

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