Programming and Operating Fanuc and Epson Robots 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.

This instructor-led, live training in Nigeria (online or on-site) 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 achieving high-precision infrastructure supervision. By leveraging advanced geodesy principles, real-time modelling, and high-accuracy drone mapping, professionals can gain deeper insights, enhanced accuracy, and improved productivity within construction environments.

This instructor-led live training (available online or onsite) is designed for intermediate to advanced professionals seeking to master advanced drone and photogrammetry workflows. Participants will learn to apply geodetic controls and high-precision mapping techniques to complex infrastructure projects.

Upon completing this training, participants will be able to:

• Implement advanced photogrammetric methods, including 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 terrain and infrastructure geometry.
• Analyze photogrammetry data using GIS software for structural health monitoring, deformation analysis, and compliance tracking.

Format of the Course

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

Course Customization Options

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

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 live, instructor-led training in Nigeria (online or onsite) is designed for beginners to intermediate learners who wish to learn how to apply drone and photogrammetry techniques for overseeing infrastructure 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.

Format of the Course

• Interactive lecture and discussion.
• Hands-on practice with drone equipment and simulators.
• Practical exercises and real flight scenarios.

Course Customization Options

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

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 aimed at beginner-level / intermediate-level / advanced-level 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 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.

Practical Rapid Prototyping for Robotics with ROS 2 & Docker is a practical, hands-on course designed to assist developers in efficiently building, testing, and deploying robotic applications. Participants will learn to containerise robotics environments, integrate ROS 2 packages, and prototype modular robotic systems using Docker to ensure reproducibility and scalability. The course highlights agility, version control, and collaborative practices ideal for early-stage development and innovation teams.

This instructor-led, live training (available online or onsite) targets beginner to intermediate-level participants who want to accelerate their robotics development workflows using ROS 2 and Docker.

Upon completing 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 customised training for this course, please contact us to arrange.

In this instructor-led live training in Nigeria, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools.

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

• Understand the basics of ROS.
• Learn how to create a basic robotics project using ROS.
• Learn how to use different tools for robotics including simulation and visualization tools.

This instructor-led, live training in Nigeria (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using 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.
• Use ROS packages and libraries to perform common tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Troubleshooting and debugging ROS applications.