Allen-Bradley PLC Programming and Applications in Manufacturing Training Course

The Allen Bradley platform represents a widely embraced industrial automation ecosystem, designed to configure, control, and integrate PLCs, HMIs, and networked devices.

This instructor-led live training, available both online and onsite, targets intermediate-level automation professionals seeking to interconnect and integrate Allen Bradley automation devices using Ethernet to ensure seamless communication across 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 featuring demonstrations with Allen Bradley tools.
• Practical integration exercises involving Ethernet-connected devices.
• Hands-on configuration and testing in a live-lab environment.

Course Customisation Options

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

The integration of Artificial Intelligence into Smart Factories involves utilising AI technologies to automate, monitor, and optimise industrial operations in real-time.

This instructor-led live training, available both online and onsite, is designed for beginner-level decision-makers and technical leads seeking a strategic and practical overview of how AI can be leveraged within smart factory environments.

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

• Grasp the fundamental principles of Artificial Intelligence and machine learning.
• Identify key AI applications within manufacturing and automation sectors.
• Examine how AI facilitates predictive maintenance, quality control, and process optimisation.
• Assess the procedures involved in initiating AI-driven projects.

Course Format

• Interactive lectures and group discussions.
• Analysis of real-world case studies and collaborative exercises.
• Strategic frameworks and implementation guidance.

Course Customisation Options

• To request a tailored training session for this course, please contact us to make arrangements.

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 Botswana (online or onsite) is designed for engineers and technicians at intermediate to advanced levels who wish to acquire the skills to program, operate, and optimise Fanuc and Epson robotic systems for industrial applications.

By the conclusion 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.

The course 'Industrial Robotics Automation: ROS-PLC Integration & Digital Twins' is a practical programme designed to bridge the gap between industrial automation and contemporary robotics frameworks. Participants will acquire the skills to integrate ROS-based robotic systems with PLCs for synchronized operations, while also exploring digital twin environments to simulate, monitor, and optimise production processes. The training 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 is available both online and onsite, targeting intermediate-level professionals who wish to develop practical expertise in linking ROS-controlled robots with PLC environments and implementing digital twins for automation and manufacturing optimisation.

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

• Grasp the communication protocols used between 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 within industrial workflows.
• Design and validate industrial automation systems using hybrid simulation environments.

Course Format

• Interactive lectures and architecture walkthroughs.
• Practical exercises focusing on the integration of ROS and PLC systems.
• Implementation of simulation and digital twin projects.

Customisation Options

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

This instructor-led, live training in Botswana (online or on-site) is aimed at beginner, intermediate, and 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 in Botswana (online or onsite) targets PLC users seeking to leverage XG5000 for creating, testing, downloading, monitoring, and troubleshooting PLC programmes.

By the end of the 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 in Botswana (online or onsite) is tailored for intermediate-level automation engineers and control system designers looking to implement motion control solutions using Omron PLCs.

Upon completing this training, participants will be able to:

• Grasp fundamental motion control concepts and their practical applications.
• Configure both motion hardware and software within Sysmac Studio.
• Program and optimise single-axis and multi-axis motion control systems.
• Implement coordinated motion strategies, including interpolation and synchronization techniques.

This instructor-led, live training in Botswana (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). After exploring the core concepts of PLCs, participants will learn and practice basic Ladder Diagram instructions within the context of Industrial Automation tasks. 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, transmit signals, and execute control commands within power system and automation networks.

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

Upon completing this training, participants will be able to:

• Install RTU hardware and correctly map input and output channels.
• Configure communication parameters to facilitate integration with SCADA and control systems.
• Deploy logic, alarms, and control strategies within RTU platforms.
• Effectively diagnose and resolve RTU performance and communication challenges.

Course Format

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

Customisation Options

• Tailored course versions can be provided based on specific RTU hardware models or control environments.

A Smart Robot is an Artificial Intelligence (AI) system that learns from its surroundings and experiences, enhancing its capabilities based on that acquired knowledge. These intelligent machines can work alongside humans, observing and learning from their behaviour. Beyond performing physical labour, they are also equipped to handle complex cognitive tasks. In addition to mechanical units, Smart Robots can be entirely software-based, existing as applications within a computer system without any physical components or direct interaction with the physical 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. They will then apply this knowledge to develop their own Smart Robot projects.

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

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

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
• Comprehend and implement the software components that form the basis of Smart Robots
• Construct 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 customise any aspect of this course (such as programming language or robot model), please contact us to make arrangements.