PLC Ladder Programming Training Course

The Allen Bradley platform represents a widely adopted 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 interconnect and integrate Allen Bradley automation devices via Ethernet for 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.
• 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 within a live-lab environment.

Customization Options

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

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner 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 refers to the use of artificial intelligence to automate, monitor, and optimize industrial operations in real time.

This instructor-led, live training (online or onsite) is designed for beginner-level decision-makers and technical leads who want to gain a strategic and practical introduction to how AI can be leveraged in smart factory environments.

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

• Understand 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 comprehensive software tool developed by Vector, widely used for the development, testing, and analysis of in-vehicle networks and ECUs, particularly those based on the CAN (Controller Area Network) protocol.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate-level automotive engineers and testers who aim to use CANoe for simulating, testing, and analysing CAN-based communication systems.

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

• Install and configure CANoe along with its components
• Understand the fundamentals of the CAN protocol and message framing
• Develop simulations for ECUs and CAN networks using CAPL scripting
• Effectively monitor, analyse, and debug CAN traffic

This instructor-led, live training in Uzbekistan (online or onsite) is designed for intermediate to advanced engineers and technicians who want to master the programming, operation, and optimization of 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 to enhance efficiency.

Industrial Robotics Automation: ROS-PLC Integration & Digital Twins is a practical course designed to bridge traditional industrial automation with modern robotics frameworks. Participants will learn how to integrate ROS-based robotic systems with PLCs for seamless, synchronized operations and will explore digital twin environments to simulate, monitor, and optimise production processes. The course places strong emphasis on interoperability, real-time control, and predictive analysis using digital replicas of physical systems.

This instructor-led, live training (available online or on-site) is tailored for intermediate-level professionals seeking to develop hands-on skills in connecting ROS-controlled robots with PLC environments and implementing digital twins to enhance automation and manufacturing efficiency.

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

• Understand the communication protocols linking ROS and PLC systems.
• Implement real-time data exchange between robots and industrial controllers.
• Develop 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.

Course Format

• Interactive lectures and architecture walkthroughs.
• Practical exercises integrating ROS and PLC systems.
• Implementation of simulation and digital twin projects.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

This instructor-led, live training Uzbekistan (online or onsite) is aimed at beginner, intermediate, or advanced engineers and technicians who wish to utilize XGT Series PLCs for hardware configuration, module management, and maintaining 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 Uzbekistan (online or onsite) is designed for PLC users seeking 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 Uzbekistan (online or onsite) is designed for 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 the core concepts of motion control and their applications.
• Configure motion hardware and software in Sysmac Studio.
• Program and optimize single-axis and multi-axis motion control systems.
• Implement coordinated motion strategies, including interpolation and synchronization.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for intermediate-level programmers seeking 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 the core concepts of PLCs, students will learn and apply basic Ladder Diagram instructions in the context of Industrial Automation tasks. Target Audience - Electrical Specialists - Mechanical Engineers - Programmers with an interest in Industrial Automation

A Remote Terminal Unit (RTU) is a critical field device used to collect data, transmit signals, and execute control commands within automation and power system networks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to configure RTUs for automation and control operations within power cell environments.

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

• Set up RTU hardware and map input/output channels correctly.
• Configure communication parameters for integration with SCADA and control systems.
• Implement logic, alarms, and control strategies within RTU platforms.
• Troubleshoot RTU performance and communication issues effectively.

Format of the Course

• Instructor-guided presentations with real-world examples.
• Hands-on configuration activities and practical exercises.
• Live demonstrations of RTU communication and control workflows.

Course Customization Options

• Customized 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, enhancing its abilities based on acquired knowledge. These robots can collaborate with humans, working alongside them and adapting to their behavior. Beyond manual tasks, Smart Robots are also equipped to handle cognitive functions. They can exist as physical robots or purely software-based applications, operating within a computer without physical interaction with the world.

In this instructor-led, live training, participants will explore various technologies, frameworks, and techniques for programming different types of mechanical Smart Robots. They will then apply this knowledge to 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 showcase their newly acquired skills.

The target hardware for this course will be simulated in 3D using simulation software. The ROS (Robot Operating System) open-source 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 fundamental concepts of robotic technologies
• Understand and manage the interaction between software and hardware in a robotic system
• Implement the software components that power Smart Robots
• Build and operate a simulated mechanical Smart Robot capable of seeing, sensing, processing, grasping, navigating, and interacting with humans through voice
• Enhance a Smart Robot's ability to perform complex tasks using Deep Learning
• Test and troubleshoot a Smart Robot in realistic scenarios

Audience

• Developers
• Engineers

Format of the course

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

Note

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