PLC Ladder Programming Training Course

The Allen Bradley platform represents a prominent industrial automation ecosystem designed for configuring, controlling, and integrating PLCs, HMIs, and networked devices.

This instructor-led live training, available either online or onsite, targets intermediate-level automation professionals seeking to connect and integrate Allen Bradley automation devices using Ethernet to ensure seamless communication among 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 using standard communication protocols.
• Deploy real-world network topologies for automation systems.
• Troubleshoot connectivity and data exchange issues between devices.

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

• Bespoke training versions can be arranged based on specific device models or network architectures.

This instructor-led, live training in Italy (online or onsite) is designed for beginner to intermediate 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.

Artificial Intelligence 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 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 key AI applications in manufacturing and automation.
• Explore how AI facilitates predictive maintenance, quality control, and process optimization.
• Assess the steps required to launch AI-driven initiatives.

Course Format

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

Customization Options

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

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 Controller Area Network (CAN) protocol.

This instructor-led, live training session (available online or in-person) targets beginner to intermediate automotive engineers and testers who want to leverage CANoe to simulate, test, and analyze CAN-based communication systems.

Upon completing this training, participants will be able to:

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

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

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

• Grasp 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 and PLC with Digital Twins is a practical course designed to bridge the gap between traditional industrial automation and modern robotics frameworks. Participants will gain expertise in synchronizing ROS-based robotic systems with PLCs and utilize digital twin environments to simulate, monitor, and optimize manufacturing processes. The curriculum places a strong emphasis on system interoperability, real-time control mechanisms, and predictive analytics enabled by digital replicas of physical assets.

This instructor-led training, available in both online and onsite formats, targets intermediate-level professionals seeking to develop practical competencies in connecting ROS-controlled robots with PLC ecosystems and deploying digital twins to enhance automation and manufacturing efficiency.

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

• Analyzing communication protocols that facilitate interaction between ROS and PLC systems.
• Executing real-time data exchange mechanisms between robots and industrial controllers.
• Creating digital twins for monitoring, testing, and simulating operational processes.
• Integrating sensors, actuators, and robotic manipulators into industrial workflows.
• Designing and validating industrial automation solutions within hybrid simulation environments.

Course Format

• Interactive lectures accompanied by detailed architecture walkthroughs.
• Practical exercises focused on integrating ROS and PLC systems.
• Implementation of simulation and digital twin projects.

Customization Options

• For organizations requiring tailored training on this subject, please reach out to us to arrange a customized session.

This instructor-led, live training in Italy (online or onsite) 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 Italy (online or onsite) is aimed at PLC users who wish to use XG5000 to create, test, download, monitor, and troubleshoot 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 Italy (online or onsite) is aimed at intermediate-level automation engineers and control system designers who wish 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 Italy (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 introduction to the fundamentals of Programmable Logic Controllers (PLC). Following an overview of key PLC concepts, participants will learn and practice essential Ladder Diagram instructions through practical Industrial Automation exercises. Target audience: Electrical Specialists, Mechanical Engineers, and Programmers with an interest in Industrial Automation.

A Remote Terminal Unit (RTU) serves as an essential field device designed to gather data, relay signals, and carry out control commands across automation and power system networks.

This instructor-led, live training session (available online or onsite) targets intermediate-level professionals aiming to configure RTUs for automation and control operations within power cell environments.

Upon completing this training, participants will be able to:

• Set up RTU hardware and correctly map input/output channels.
• Configure communication parameters to integrate with SCADA and control systems.
• Implement logic, alarms, and control strategies within RTU platforms.
• Effectively troubleshoot RTU performance and communication challenges.

Course Format

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

Course 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 surroundings and experiences, thereby enhancing its capabilities based on acquired knowledge. These robots can collaborate with humans, working alongside them and learning from their behavior. Beyond physical tasks, Smart Robots are also equipped to handle cognitive duties. While some are mechanical, 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 various technologies, frameworks, and techniques used to program different types of mechanical Smart Robots, applying this knowledge to develop their own Smart Robot projects.

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

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

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

• Grasp the fundamental concepts of robotic technologies
• Manage the interaction between software and hardware in robotic systems
• Understand and implement the software components that support 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 using Deep Learning
• Test and troubleshoot Smart Robots in realistic scenarios

Audience

• Developers
• Engineers

Course Format

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

Note

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