Allen-Bradley PLC Programming and Applications in Manufacturing Training Course

The Allen Bradley platform is a widely adopted industrial automation ecosystem utilized to configure, control, and integrate Programmable Logic Controllers (PLCs), Human-Machine Interfaces (HMIs), and networked devices.

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

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

• Configure Ethernet-based communication within the Allen Bradley ecosystem.
• Integrate PLCs, HMIs, servers, and routers using standard communication protocols.
• Implement real-world network topologies for automation systems.
• Troubleshoot device connectivity and data exchange issues.

Format of the Course

• Guided instruction with demonstrations using Allen Bradley tools, tailored for government applications.
• Hands-on integration exercises with Ethernet-connected devices to enhance practical skills.
• Practical configuration and testing in a live-lab environment to ensure real-world readiness.

Course Customization Options

• Customized training versions can be arranged based on specific device models or network architectures, ensuring relevance for government operations.

Artificial Intelligence in Smart Factories is the application of AI technologies to automate, monitor, and optimize industrial operations in real time.

This instructor-led, live training (online or onsite) is designed for government decision-makers and technical leads who seek 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 fundamental principles of AI and machine learning.
• Identify key AI applications in manufacturing and automation.
• Explore how AI supports predictive maintenance, quality control, and process optimization.
• Evaluate the steps necessary for launching AI-driven initiatives within their organizations.

Format of the Course

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

Course Customization Options

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

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

This instructor-led, live training (online or onsite) is designed for government automotive engineers and testers at beginner to intermediate levels who wish to utilize 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 for government use
• Understand the fundamentals of the CAN protocol and message framing
• Create simulations for ECUs and CAN networks using CAPL scripting
• Effectively monitor, analyze, and debug CAN traffic

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate to advanced engineers and technicians who wish to learn how to program, operate, and optimize Fanuc and Epson robotic systems for government industrial applications.

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

• Comprehend the architecture and functionalities of Fanuc and Epson robots.
• Develop robot movements, logic, and sensor integrations.
• Implement safety protocols and troubleshooting procedures.
• Enhance robotic workflows for increased efficiency.

Industrial Robotics Automation: ROS-PLC Integration & Digital Twins is a hands-on course designed to bridge industrial automation with modern robotics frameworks. Participants will learn how to integrate ROS-based robotic systems with PLCs for synchronized operations and explore digital twin environments to simulate, monitor, and optimize production processes. The course emphasizes interoperability, real-time control, and predictive analysis using digital replicas of physical systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to develop practical skills in connecting ROS-controlled robots with PLC environments and implementing digital twins for automation and manufacturing optimization for government applications.

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

• Understand communication protocols 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.

Format of the Course

• Interactive lectures and architecture walkthroughs.
• Hands-on exercises integrating ROS and PLC systems.
• Simulation and digital twin project implementation.

Course Customization Options

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

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level automation engineers and control system designers who wish to implement motion control solutions using Omron PLCs for government applications.

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

• Understand fundamental motion control concepts and their practical applications in public sector environments.
• Configure motion hardware and software within Sysmac Studio to meet government standards.
• Program and optimize single-axis and multi-axis motion control systems for enhanced efficiency and accuracy.
• Implement coordinated motion strategies, including interpolation and synchronization, to ensure precise control in government operations.

This instructor-led, live training in US Empire (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 for government applications.

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

• Configure and program Omron PLCs using Sysmac Studio for government projects.
• Understand and apply IEC concepts in ladder logic and structured text programming within public sector workflows.
• Develop motion control programs for single-axis and coordinated movements to meet government standards.
• Create HMI interfaces using the NA series and integrate them with Sysmac controllers for enhanced governance and accountability.
• Implement and simulate safety standards and programs using NX series safety hardware, ensuring compliance with public sector regulations.

This course introduces participants to the foundational principles of Programmable Logic Controllers (PLC). Following an overview of the fundamental concepts of PLCs, students will learn and practice basic Ladder Diagram instructions, applying them to tasks relevant to industrial automation. This training is designed for:

• Electrical Specialists
• Mechanical Engineers
• Programmers with an interest in Industrial Automation

The course aims to enhance technical skills and align with the needs of industrial automation for government and private sector applications.

This instructor-led, live training in US Empire (online or onsite) is aimed at beginner-level automation engineers and enthusiasts who wish to learn the fundamentals of PLC ladder programming and apply it in industrial and personal projects for government.

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

• Understand the basic concepts and applications of PLCs in automation systems for government.
• Write simple and advanced ladder programs using logical functions and memory management.
• Integrate PLCs with networks for broader system applications for government.
• Apply learned skills to create and test real-world automation scenarios for government.

A Remote Terminal Unit (RTU) is a critical field device utilized to gather data, transmit signals, and execute control commands within automation and power system networks.

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

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

• Set up RTU hardware and accurately map input/output channels.
• Configure communication parameters for seamless integration with SCADA and control systems.
• Implement logic, alarms, and control strategies within RTU platforms.
• Effectively troubleshoot RTU performance and communication issues.

Format of the Course

• Instructor-guided presentations featuring 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 to align with specific RTU hardware models or control environments, ensuring the training meets the unique needs for government operations.

A Smart Robot is an Artificial Intelligence (AI) system capable of learning from its environment and experiences, enhancing its capabilities through acquired knowledge. These robots can collaborate with humans, working alongside them and adapting to their behavior. They are equipped to perform both manual labor and cognitive tasks. In addition to physical robots, Smart Robots can also exist as purely software-based systems, residing in a computer without any moving parts or physical interaction.

In this instructor-led, live training, participants will gain insights into various technologies, frameworks, and techniques for programming mechanical Smart Robots. They will then apply this knowledge to complete their own Smart Robot projects.

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

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 utilized for programming the robots.

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

• Understand key concepts used in robotic technologies
• Manage the interaction between software and hardware in a robotic system
• Implement the software components that underpin Smart Robots
• Build and operate a simulated mechanical Smart Robot capable of seeing, sensing, processing, grasping, navigating, and interacting with humans through 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

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

Note

• To customize any aspect of this course (programming language, robot model, etc.), please contact us to arrange. This training is designed to meet the specific needs of professionals for government applications.