PLC Ladder Programming Training Course

The Allen Bradley platform is a widely adopted industrial automation ecosystem used to configure, control, and integrate PLCs, HMIs, and networked devices.

This instructor-led, live training (online or onsite) is designed for intermediate-level automation professionals who want to interconnect and integrate Allen Bradley automation devices using Ethernet, ensuring seamless communication across PLCs, HMIs, servers, and routers.

By the end of this training, participants will be well-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.
• Diagnose and resolve device connectivity and data exchange issues.

Format of the Course

• 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

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

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level 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 involves the application of 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 wish 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 fundamental principles of AI and machine learning.
• Recognize key AI applications in manufacturing and automation.
• Examine how AI facilitates predictive maintenance, quality control, and process optimization.
• Assess the steps required to initiate AI-driven projects.

Format of the Course

• Engaging lectures and discussions.
• Real-world case studies and group activities.
• Strategic frameworks and implementation advice.

Course Customization Options

• For a tailored training experience, please contact us to arrange customization.

CANoe is a comprehensive software tool developed by Vector that is used for the development, testing, and analysis of in-vehicle networks and ECUs, especially those using the CAN (Controller Area Network) protocol.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level automotive engineers and testers who wish to use CANoe to simulate, test, and analyze CAN-based communication systems..

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

• Install and configure CANoe and its components
• Understand CAN protocol fundamentals and message framing
• Create simulations for ECUs and CAN networks using CAPL scripting
• Monitor, analyze, and debug CAN traffic effectively

This instructor-led, live training in the UAE (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 traditional industrial automation and modern robotics frameworks. Participants will gain the expertise to integrate ROS-based robotic systems with PLCs for seamless, synchronized operations, while exploring digital twin environments to simulate, monitor, and optimise production processes. The curriculum places a strong emphasis on interoperability, real-time control, and predictive analysis through the use of digital replicas of physical assets.

Delivered as an instructor-led, live training session (available online or onsite), this programme is tailored for intermediate-level professionals seeking to build hands-on skills in connecting ROS-controlled robots with PLC environments and deploying digital twins to drive automation and manufacturing efficiency.

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

• Master the communication protocols that link ROS and PLC systems.
• Facilitate real-time data exchange between robotic units and industrial controllers.
• Develop digital twins for the purposes of monitoring, testing, and process simulation.
• Seamlessly integrate sensors, actuators, and robotic manipulators into industrial workflows.
• Design and validate industrial automation systems using hybrid simulation environments.

Course Format

• Engaging lectures accompanied by architecture walkthroughs.
• Practical exercises focused on 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 make arrangements.

This instructor-led, live training in the UAE (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 the UAE (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 a discussion on the core concepts of PLCs, students will learn and practice basic Ladder Diagram instructions within the context of industrial automation tasks. Target Audience: Electrical Specialists, Mechanical Engineers, Programmers Interested in Industrial Automation

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

This instructor-led, live training programme—available either online or onsite—is tailored for intermediate-level professionals seeking to configure RTUs for automation and control operations within power cell environments.

Upon completion of this training, participants will be well-equipped to:

• Establish RTU hardware setups and correctly map input/output channels.
• Configure communication parameters to ensure seamless integration with SCADA and control systems.
• Deploy logic, alarms, and control strategies across RTU platforms.
• Effectively troubleshoot performance and communication challenges related to RTUs.

Course Format

• Instructor-led presentations enriched with real-world examples.
• Practical, hands-on configuration tasks and exercises.
• Live demonstrations showcasing RTU communication and control workflows.

Course Customisation Options

• Tailored course versions are available to align with specific RTU hardware models or unique control environments.

A Smart Robot is an Artificial Intelligence (AI) system capable of learning from its surroundings and experiences, thereby enhancing its capabilities. These robots can work alongside humans, learning from their behavior while performing both manual labor and cognitive tasks. In addition to physical robots, Smart Robots can also exist as software applications without any moving parts or direct interaction with the physical world.

This instructor-led live training will cover various technologies, frameworks, and techniques for programming different types of mechanical Smart Robots. Participants will apply this knowledge to complete their own Smart Robot projects.

The course is structured into four sections, each comprising three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section concludes with a practical project to reinforce the acquired skills.

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

By the end of this training, participants will:

• Grasp the fundamental concepts in robotic technologies
• Manage the interaction between software and hardware within a robotic system
• Implement the software components that support Smart Robots
• Create and operate a simulated mechanical Smart Robot capable of seeing, sensing, processing, grasping, navigating, and interacting with humans through voice commands
• Enhance a Smart Robot's ability to perform complex tasks using Deep Learning techniques
• Test and troubleshoot a Smart Robot in realistic scenarios

Audience

• Developers
• Engineers

Format of the course

• The course includes lectures, discussions, exercises, and extensive hands-on practice.

Note

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