Allen-Bradley PLC Programming and Applications in Manufacturing Training Course

The Allen Bradley platform represents a prominent industrial automation ecosystem designed for configuring, controlling, and integrating programmable logic controllers (PLCs), human-machine interfaces (HMIs), and networked devices.

This instructor-led training, available online or onsite, targets intermediate automation professionals seeking to connect and integrate Allen Bradley devices using Ethernet for seamless communication among PLCs, HMIs, servers, and routers.

Upon completing this training, participants will be equipped to:

• Configure Ethernet-based communication within the Allen Bradley environment.
• 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 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.

Artificial intelligence within smart factories involves applying AI technologies to automate, monitor, and optimize industrial operations in real time.

This instructor-led training session, available both online and onsite, is designed for beginner-level decision-makers and technical leads who seek a strategic and practical introduction to leveraging AI in smart factory environments.

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

• Comprehend the fundamental principles of artificial intelligence and machine learning.
• Identify key AI applications in manufacturing and automation sectors.
• Explore how AI facilitates predictive maintenance, quality control, and process optimization.
• Evaluate the necessary steps for initiating AI-driven projects.

Course Format

• Interactive lectures and discussions.
• Real-world case studies and group exercises.
• Strategic frameworks and implementation guidance.

Course Customization Options

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

CANoe is a robust software solution developed by Vector, designed for the development, testing, and analysis of in-vehicle networks and Electronic Control Units (ECUs), with a particular focus on systems utilising the CAN (Controller Area Network) protocol.

This instructor-led training session, available online or onsite, targets automotive engineers and testers ranging from beginner to intermediate proficiency levels. The course aims to equip participants with the skills to use CANoe for simulating, testing, and analysing CAN-based communication systems.

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

• Install and configure 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
• Monitor, analyse, and debug CAN traffic efficiently

This instructor-led, live training in Kenya (online or onsite) targets intermediate to advanced engineers and technicians who aim to acquire skills in programming, operating, and optimizing Fanuc and Epson robotic systems for industrial applications.

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

• Grasp 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 the gap between industrial automation and modern robotics frameworks. Participants will acquire the skills to integrate ROS-based robotic systems with PLCs for synchronized operations, while exploring digital twin environments to simulate, monitor, and optimize production processes. The curriculum places a strong emphasis on interoperability, real-time control, and predictive analysis through the use of digital replicas of physical systems.

This instructor-led live training, available either online or onsite, targets intermediate-level professionals seeking to develop practical competencies in linking ROS-controlled robots with PLC environments and implementing digital twins for automation and manufacturing optimization.

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

• Comprehend the communication protocols facilitating interaction between ROS and PLC systems.
• Execute real-time data exchange mechanisms between robots and industrial controllers.
• Create digital twins for monitoring, testing, and simulating processes.
• Integrate sensors, actuators, and robotic manipulators into industrial workflows.
• Design and validate industrial automation systems using hybrid simulation environments.

Course Format

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

Customization Options for the Course

• To request a customized training session for this course, please get in touch with us to make arrangements.

This instructor-led, live training (Kenya online or onsite) targets beginner, intermediate, and advanced-level engineers and technicians who wish to utilize 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 Kenya (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 training, delivered in Kenya (online or on-site), is designed for intermediate-level automation engineers and control system designers aiming 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 Kenya (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 students with a foundational understanding of Programmable Logic Controllers (PLC). Following an exploration of core PLC principles, learners will study and apply essential Ladder Diagram instructions to real-world Industrial Automation scenarios. Target Audience: Electrical Specialists, Mechanical Engineers, and Programmers interested in Industrial Automation.

A Remote Terminal Unit (RTU) serves as an essential field device designed to gather data, relay signals, and execute control commands across automation and power network infrastructures.

This instructor-led training session, available both online and onsite, is tailored for intermediate-level professionals looking to master RTU configuration for automation and control operations within power cell environments.

Upon completing this training, participants will be able to:

• Install RTU hardware and accurately map input and output channels.
• Set up communication parameters to ensure seamless integration with SCADA and control systems.
• Deploy logic, alarms, and control strategies within RTU platforms.
• Effectively troubleshoot RTU performance and communication challenges.

Course Format

• Instructor-led presentations enriched with real-world case studies.
• Practical configuration activities and hands-on exercises.
• Live demonstrations of RTU communication and control workflows.

Customization Options

• Tailored course versions are available, focusing on specific RTU hardware models or control environments.

A smart robot is an Artificial Intelligence (AI) system capable of learning from its surroundings and past experiences, enhancing its capabilities through that knowledge. These robots can collaborate with humans, working alongside them and learning from their actions. Furthermore, they are equipped to handle not only manual labour but also cognitive tasks. Beyond physical machines, smart robots can also exist purely as software, residing within a computer as an application without moving parts or physical interaction with the real world.

In this instructor-led live training, participants will explore the various technologies, frameworks, and techniques required to program different types of mechanical smart robots, then apply this knowledge to complete their own smart robot projects.

The course is structured into 4 sections, each comprising three days of lectures, discussions, and hands-on robot development within a live lab environment. Each section concludes with a practical hands-on project, allowing participants to practice and demonstrate their acquired knowledge.

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

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

• Grasp the key concepts underpinning robotic technologies
• Understand and manage the interaction between software and hardware in a robotic system
• Understand and implement the software components that support smart robots
• Build and operate a simulated mechanical smart robot capable of seeing, sensing, processing, grasping, navigating, and interacting with humans via voice
• Enhance 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

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

Note

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