PLC Ladder Programming Training Course

The Allen Bradley platform stands as a popular industrial automation ecosystem, enabling the configuration, control, and integration of 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 devices via Ethernet for seamless communication among PLCs, HMIs, servers, and routers.

Upon completing this training, participants will be equipped to:

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

Course Format

• Guided instruction with demonstrations using Allen Bradley tools.
• Hands-on integration exercises involving 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 Turkey (online or onsite) is designed for engineers and technicians at beginner to intermediate levels who aim to master the core principles of AB PLCs and apply them to practical manufacturing environments.

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

• Comprehend the function and application of AB PLCs within the manufacturing sector.
• Program AB PLCs utilizing RSLogix 5000/Studio 5000.
• Diagnose common issues and carry out maintenance on PLC systems.
• Design and deploy a PLC-controlled system for a manufacturing process.
• Showcase proficiency in PLC programming through a hands-on 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 who want to gain 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.

Developed by Vector, CANoe is a robust software tool 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) is tailored for automotive engineers and testers ranging from beginner to intermediate skill levels who want to leverage CANoe to simulate, test, and analyze 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 debug CAN traffic efficiently

This instructor-led, live training in Turkey (online or onsite) targets intermediate to advanced-level engineers and technicians aiming to master the programming, operation, and optimization of Fanuc and Epson robotic systems for industrial use.

Upon completing this training, participants will be capable of:

• Gaining an understanding of the architecture and functionalities of Fanuc and Epson robots.
• Programming robot movements, logic, and sensor integrations.
• Implementing safety protocols and troubleshooting techniques.
• Optimizing robotic workflows to enhance efficiency.

This hands-on course, Industrial Robotics Automation: ROS-PLC Integration & Digital Twins, is designed to bridge the gap between traditional industrial automation and modern robotics frameworks. Participants will gain practical skills in synchronizing ROS-based robotic systems with PLCs and utilizing digital twin environments to simulate, monitor, and optimize production workflows. The curriculum places a strong emphasis on system interoperability, real-time control mechanisms, and predictive analytics derived from digital replicas of physical assets.

Delivered as live, instructor-led training (available online or onsite), this program targets intermediate-level professionals seeking to master the connection between ROS-controlled robots and PLC environments. It also focuses on leveraging digital twins to enhance automation and manufacturing efficiency.

Upon completion, participants will be equipped to:

• Grasp the communication protocols linking ROS and PLC systems.
• Execute real-time data exchange between robotic units and industrial controllers.
• Create digital twins for process simulation, testing, and continuous monitoring.
• Seamlessly integrate sensors, actuators, and robotic manipulators into industrial operations.
• Design and validate automation systems using hybrid simulation setups.

Course Format

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

Customization Options

• For customized training requests, please contact us to discuss your specific needs.

This instructor-led, live training in Turkey (online or onsite) is designed for beginner, intermediate, and advanced 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 Turkey (available online or on-site) targets PLC users who intend to utilize XG5000 for the creation, testing, downloading, monitoring, and troubleshooting of PLC programs.

By the conclusion of this training, participants will be capable of: creating and managing projects, configuring hardware and communication settings, developing ladder logic, and diagnosing PLC faults.

This instructor-led, live training in Turkey (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 Turkey (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 students with an introduction to the fundamentals of Programmable Logic Controllers (PLC). Following an exploration of core PLC concepts, learners will study and practice essential Ladder Diagram instructions within the context of industrial automation applications. This course is designed for electrical specialists, mechanical engineers, and programmers interested in industrial automation.

A Remote Terminal Unit (RTU) serves as an essential field device responsible for gathering data, transmitting signals, and executing control commands within automation networks and power systems.

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

Upon completing this training, participants will be able to:

• Install RTU hardware and correctly map its input and output channels.
• Set up communication parameters to integrate RTUs with SCADA and control systems.
• Develop logic, alarm handling, and control strategies on RTU platforms.
• Effectively resolve RTU performance and communication challenges.

Course Format

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

Customization Options

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

A Smart Robot is an Artificial Intelligence (AI) system that acquires knowledge from its surroundings and past experiences, enhancing its abilities based on that acquired insight. These robots can work collaboratively with humans, operating alongside them and learning from their actions. Moreover, they are capable of performing not just manual labor but also cognitive tasks. Beyond 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 various technologies, frameworks, and techniques required to program different 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, hands-on project, allowing participants to practice and demonstrate the knowledge they have acquired.

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

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

• Grasp the core concepts underlying robotic technologies
• Understand and manage the interaction between software and hardware within a robotic system
• Comprehend and implement the software components that support 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 ability to execute 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 intensive hands-on practice

Note

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