Allen-Bradley PLC Programming and Applications in Manufacturing Training Course

The Allen Bradley platform serves as a prominent industrial automation ecosystem, enabling professionals to configure, control, and integrate PLCs, HMIs, and various networked devices.

This instructor-led training, available both online and onsite, targets intermediate-level automation experts seeking to interconnect and integrate Allen Bradley devices via 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.
• Deploy practical network topologies for automation systems.
• Troubleshoot connectivity and data exchange challenges.

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 setting.

Customization Options

• Tailored training sessions can be organized based on specific device models or network architectures.

AI in Smart Factories involves using 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 a strategic and practical introduction to leveraging AI 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 robust software solution created by Vector, designed for the development, testing, and analysis of in-vehicle networks and ECUs, particularly those operating on the CAN (Controller Area Network) protocol.

This instructor-led live training (available online or onsite) targets beginner to intermediate automotive engineers and testers who want to utilize CANoe to simulate, test, and analyze CAN-based communication systems.

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

• Install and set up CANoe along with its associated components
• Grasp the fundamentals of the CAN protocol and message framing
• Develop simulations for ECUs and CAN networks using CAPL scripting
• Effectively monitor, analyze, and debug CAN traffic

This instructor-led, live training in Nigeria (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: Integrating ROS and PLC with Digital Twins is a practical course designed to bridge the gap between industrial automation and contemporary robotics frameworks. Participants will learn how to synchronize ROS-based robotic systems with PLCs, while exploring digital twin environments to simulate, monitor, and optimize production processes. The curriculum emphasizes interoperability, real-time control, and predictive analysis using digital replicas of physical systems.

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

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

• Comprehend the communication protocols connecting ROS and PLC systems.
• Establish 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.

Course Format

• Interactive lectures and architecture 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 session for this course, please contact us to arrange.

This instructor-led, live training in Nigeria (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 Nigeria (online or onsite) is aimed at PLC users who wish to use XG5000 to create, test, download, monitor, and troubleshoot 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 session (available online or onsite) is designed for intermediate-level automation engineers and control system designers who aim 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 Nigeria (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 learners with an understanding of Programmable Logic Controllers (PLC) fundamentals. Following an exploration of core PLC concepts, students will learn and apply essential Ladder Diagram instructions to solve Industrial Automation challenges. Target Audience: Electrical Specialists, Mechanical Engineers, and Programmers interested in Industrial Automation.

A Remote Terminal Unit (RTU) serves as a vital field device responsible for gathering data, transmitting signals, and executing control commands within automation and power network infrastructures.

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

Upon completing this training, participants will gain the ability to:

• Properly set up RTU hardware and map input/output channels accurately.
• Configure communication parameters to ensure seamless integration with SCADA and control systems.
• Implement logic, alarms, and control strategies within RTU platforms.
• Effectively troubleshoot RTU performance and communication challenges.

Course Format

• Instructor-guided presentations complemented by 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, tailored to specific RTU hardware models or control environments.

A Smart Robot is an Artificial Intelligence (AI) system that can learn from its environment and its experience and build on its capabilities based on that knowledge. Smart Robots can collaborate with humans, working along-side them and learning from their behavior. Furthermore, they have the capacity for not only manual labor, but cognitive tasks as well. In addition to physical robots, Smart Robots can also be purely software based, residing in a computer as a software application with no moving parts or physical interaction with the world.

In this instructor-led, live training, participants will learn the different technologies, frameworks and techniques for programming different types of mechanical Smart Robots, then apply this knowledge to complete their own Smart Robot projects.

The course is divided into 4 sections, each consisting of three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section will conclude with a practical hands-on project to allow participants to practice and demonstrate their acquired knowledge.

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

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

• Understand the key concepts used in robotic technologies
• Understand and manage the interaction between software and hardware in a robotic system
• Understand and implement the software components that underpin Smart Robots
• Build and operate a simulated mechanical Smart Robot that can see, sense, process, grasp, navigate, and interact with humans through voice
• Extend 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

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

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