Programming and Operating Fanuc and Epson Robots 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.

Drones and photogrammetry have become indispensable tools for high-precision infrastructure supervision. By combining advanced geodesy principles, real-time modeling, and high-accuracy drone mapping, professionals can enhance their insights, accuracy, and productivity in construction environments.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced professionals who aim to implement advanced drone and photogrammetry workflows, including geodetic controls and high-precision mapping techniques, in complex infrastructure projects.

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

• Apply advanced photogrammetric methods such as RTK/PPK workflows and ground control calibration.
• Integrate geodetic reference systems and projections for large-scale infrastructure sites.
• Design precision flight missions tailored to complex terrains and infrastructure geometries.
• Analyze photogrammetry data using GIS software to monitor structural health, deformation, and compliance.

Format of the Course

• Interactive lectures and discussions.
• Advanced exercises and real-world case studies.
• Hands-on practice with drone data and modeling tools.

Course Customization Options

• To request a customized training session, please contact us to arrange.

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 tailored for beginner to intermediate participants aiming to learn how to use drones and photogrammetry techniques for infrastructure supervision in construction projects.

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

• Understand the fundamentals of drones and photogrammetry.
• Develop and execute drone flight plans for construction sites.
• Perform photogrammetry tracking and create detailed maps and 3D models.
• Use photogrammetry data for infrastructure supervision and issue detection.
• Apply drone technology to improve construction site safety and efficiency.

The Evo Max 4T is a professional-grade drone designed for advanced aerial operations, inspections, and data collection.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level operators who wish to safely and effectively use the Evo Max 4T for professional applications and prepare for official certification.

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

• Understand the technical specifications and operation of the Evo Max 4T drone.
• Apply operational safety procedures in aerial activities.
• Comply with current AAC and local drone regulations.
• Implement best practices for efficient and safe drone operations.
• Prepare for certification/licensing through theoretical and practical training.

Course Format

• Interactive lectures and discussions.
• Hands-on practice using drone equipment and simulators.
• Practical exercises and real-world flight scenarios.

Course Customisation Options

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

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 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 aimed at automation engineers and control system designers who wish to configure, program, and commission Omron Sysmac systems covering NJ/NX controllers, EtherCAT networking, G5/1S/1SA servo drives, NA Series HMI, and NX 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

Practical Rapid Prototyping for Robotics with ROS 2 & Docker is a hands-on course designed to help developers build, test, and deploy robotic applications efficiently. Participants will learn how to containerize robotics environments, integrate ROS 2 packages, and prototype modular robotic systems using Docker for reproducibility and scalability. The course emphasises agility, version control, and collaborative practices suitable for early-stage development and innovation teams.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to accelerate robotics development workflows using ROS 2 and Docker.

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

• Set up a ROS 2 development environment within Docker containers.
• Develop and test robotic prototypes in modular, reproducible setups.
• Use simulation tools to validate system behaviour before hardware deployment.
• Collaborate effectively using containerised robotics projects.
• Apply continuous integration and deployment concepts in robotics pipelines.

Course Format

• Interactive lectures and demonstrations.
• Hands-on exercises with ROS 2 and Docker environments.
• Mini-projects focused on real-world robotic applications.

Course Customisation Options

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

In this instructor-led, live training in Uzbekistan, participants will learn how to utilize ROS for their robotics projects by employing various robotics visualization and simulation tools.

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

• Grasp the fundamental concepts of ROS.
• Develop a basic robotics project using ROS.
• Utilize various tools for robotics, including simulation and visualization tools.

This instructor-led, live training (online or onsite) is tailored for beginner to intermediate, and potentially advanced-level robotics developers who wish to learn how to program mobile robots using ROS and Python.

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

• Set up a development environment that includes ROS, Python, and a mobile robot platform.
• Create and run ROS nodes, topics, services, and actions using Python.
• Use ROS tools and utilities to monitor and debug ROS applications.
• Leverage ROS packages and libraries to perform common mobile robot tasks.
• Integrate ROS with other frameworks and tools.
• Troubleshoot and debug ROS applications effectively.