PLC Ladder Programming Training Course

The Allen Bradley platform is a widely utilized industrial automation ecosystem designed to configure, control, and integrate 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 using Ethernet for 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.
• Implement real-world network topologies for automation systems.
• Troubleshoot device connectivity and data exchange issues.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Norway (online or onsite) is designed for beginner to intermediate engineers and technicians who want to master the fundamentals of AB PLCs and apply them to real-world manufacturing scenarios.

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

• Grasp the role and applications of AB PLCs within 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 both online and 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 completing this training, participants will be able to:

• Grasp the fundamental principles of AI and machine learning.
• Identify key AI applications in manufacturing and automation.
• Explore how AI facilitates predictive maintenance, quality control, and process optimization.
• Evaluate the steps required to launch AI-driven initiatives.

Course Format

• Interactive lectures and discussions.
• 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 an all-encompassing software solution created by Vector, designed for the development, testing, and analysis of in-vehicle networks and ECUs, particularly those utilizing the CAN (Controller Area Network) protocol.

This instructor-led, live training (available online or onsite) targets automotive engineers and testers from beginner to intermediate levels who aim to utilize CANoe for simulating, testing, and analyzing CAN-based communication systems.

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

• Install and configure CANoe and 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 troubleshoot CAN traffic efficiently

This instructor-led, live training in Norway (online or onsite) is aimed at intermediate-level to advanced-level 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 course designed to bridge the gap between industrial automation and contemporary robotics frameworks. Participants will gain the skills needed 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 utilizing digital replicas of physical systems.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals aiming to develop practical competencies in connecting ROS-controlled robots with PLC environments and implementing digital twins to enhance automation and manufacturing efficiency.

Upon completing this training, participants will be able to:

• Comprehend the communication protocols facilitating interaction between ROS and PLC systems.
• Execute real-time data exchange between robots and industrial controllers.
• Create digital twins for monitoring, testing, and process simulation.
• Integrate sensors, actuators, and robotic manipulators into 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 Norway (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 Norway (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 instructor-led, live training in Norway (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 Norway (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 PLC core concepts, participants will learn and apply essential Ladder Diagram instructions within the context of Industrial Automation. Target Audience: Electrical Specialists, Mechanical Engineers, and Programmers interested in Industrial Automation.

A Remote Terminal Unit (RTU) serves as an essential field device responsible for data acquisition, signal transmission, and the execution of control commands within automation networks and power systems.

This instructor-led live training, available both online and onsite, is designed for professionals at an intermediate level who aim to configure RTUs for automation and control operations within power cell environments.

Upon completion of this training, participants will possess the skills to:

• Configure RTU hardware and accurately map input and output channels.
• Set up communication parameters to facilitate integration with SCADA and control systems.
• Develop logic, alarms, and control strategies within RTU platforms.
• Effectively diagnose and resolve RTU performance and communication challenges.

Course Format

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

Customization Options

• Tailored course versions are available to accommodate 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 to enhance its capabilities. These robots can collaborate effectively with humans, operating alongside them and adapting to their behaviors. Beyond performing manual labor, they are equipped to handle complex cognitive tasks. In addition to physical hardware, smart robots can also exist as pure software applications within a computer, devoid of moving parts or direct physical interaction with the environment.

In this instructor-led live training, participants will explore the various technologies, frameworks, and techniques required to program different types of mechanical smart robots. Attendees will apply this knowledge to develop and complete their own smart robot projects.

The course is structured into four 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 the skills they have acquired.

The course utilizes 3D simulation software to emulate the target hardware. Programming the robots will be done using 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 a robotic system.
• Comprehend 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 through Deep Learning.
• Test and troubleshoot a smart robot in realistic scenarios.

Audience

• Developers
• Engineers

Format of the course

• A 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.