Allen Bradley Ethernet-Based Device Integration and Communication Training Course

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate engineers and technicians who aim 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. This training aligns with the needs of professionals working in technical roles, including those in government agencies responsible for overseeing and maintaining industrial control systems.

AI in Smart Factories is the application of artificial intelligence to automate, monitor, and optimize industrial operations in real time. This instructor-led, live training (online or onsite) is aimed at beginner-level decision-makers and technical leads who wish to gain a strategic and practical introduction to how AI can be leveraged in smart factory environments for government and private sector applications. 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 comprehensive software tool developed by Vector that is utilized for the development, testing, and analysis of in-vehicle networks and ECUs, particularly those employing the CAN (Controller Area Network) protocol.

This instructor-led, live training (online or onsite) is designed for government and industry professionals, including beginner to intermediate level automotive engineers and testers, who seek 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 for government and industry applications
• Understand the fundamentals of the CAN protocol and message framing
• Create simulations for ECUs and CAN networks using CAPL scripting
• Monitor, analyze, and debug CAN traffic effectively to ensure reliable communication systems

This instructor-led, live training in US (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 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, ensuring alignment with best practices for government operations.

Industrial Robotics Automation: ROS-PLC Integration & Digital Twins is a practical, hands-on course designed to bridge industrial automation with modern robotics frameworks. Participants will learn how to integrate ROS-based robotic systems with Programmable Logic Controllers (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.

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 for Government

• To request a customized training tailored to the needs of government agencies, please contact us to arrange.

This instructor-led, live training (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.
• Configure motion hardware and software in Sysmac Studio.
• Program and optimize single-axis and multi-axis motion control systems.
• Implement coordinated motion strategies, including interpolation and synchronization techniques.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level programmers who seek to enhance their skills in Omron PLC programming, HMI configuration, motion control, and safety systems. By the end of this training, participants will be able to: - Configure and program Omron PLCs using Sysmac Studio. - Understand and apply IEC standards in ladder logic and structured text programming. - Develop programs for single-axis and coordinated motion control. - Create HMI interfaces with the NA series and integrate them with Sysmac controllers. - Implement and simulate safety standards and programs using NX series safety hardware. This training is tailored to support professionals in enhancing their technical capabilities, ensuring alignment with best practices for government applications.

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 (online or onsite) is designed for beginner-level automation engineers and enthusiasts who wish to learn the fundamentals of PLC ladder programming and apply this knowledge in both industrial and personal projects. By the end of this training, participants will be able to: - Understand the basic concepts and applications of PLCs in automation systems. - Write simple and advanced ladder programs using logical functions and memory management. - Integrate PLCs with networks for broader system applications. - Apply their learned skills to create and test real-world automation scenarios, ensuring alignment with standards and best practices for government.

A Remote Terminal Unit (RTU) is a critical field device used to collect 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 wish to configure RTUs for automation and control operations within power cell environments for government applications. By the end of this training, participants will be equipped to: - Set up RTU hardware and map input/output channels correctly. - Configure communication parameters for integration with SCADA and control systems. - Implement logic, alarms, and control strategies within RTU platforms. - Troubleshoot RTU performance and communication issues effectively. **Format of the Course** - Instructor-guided presentations with 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 based on specific RTU hardware models or control environments.

A Smart Robot is an Artificial Intelligence (AI) system capable of learning from its environment and experiences, enhancing its capabilities through accumulated knowledge. These robots can collaborate with humans, working alongside them and adapting to human behaviors. They are adept at both manual tasks and cognitive functions. In addition to physical robots, Smart Robots can also exist as software applications, operating within a computer without any physical interaction. This instructor-led training provides participants with an in-depth understanding of the technologies, frameworks, and techniques required for programming mechanical Smart Robots. Participants will apply this knowledge to complete their own Smart Robot projects. The course is structured into four sections, each comprising three days of lectures, discussions, and hands-on robot development in a live laboratory environment. Each section concludes with a practical project to reinforce the skills learned. The target hardware for this training will be simulated in 3D using simulation software. The ROS (Robot Operating System) open-source framework, along with C++ and Python, will be used for programming the robots. By the end of this training, participants will be able to: - Understand the fundamental concepts in robotic technologies. - Manage the interaction between software and hardware in a robotic system. - Implement the software components essential for Smart Robots. - Build and operate a simulated mechanical Smart Robot capable of seeing, sensing, processing, grasping, navigating, and interacting with humans through voice commands. - Enhance a Smart Robot's capabilities to perform complex tasks using Deep Learning techniques. - 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 tailor any aspect of this course (such as programming language or robot model) to specific needs for government projects, please contact us to arrange customization.