Introduction to AI in Smart Factories and Industrial Automation Training Course

The Allen Bradley platform is a widely adopted industrial automation ecosystem used to configure, control, and integrate PLCs, HMIs, and networked devices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level automation professionals who wish to interconnect and integrate Allen Bradley automation devices using Ethernet for 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 common communication protocols.
• Implement real-world network topologies for automation systems.
• Troubleshoot device connectivity and data exchange issues.

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.

This instructor-led, live training in Slovakia (online or onsite) targets beginner to intermediate engineers and technicians who want to master AB PLC fundamentals and apply them to real-world manufacturing scenarios.

Upon completing this training, participants will be able to:

• Grasp the role and applications of AB PLCs in the manufacturing industry.
• Program AB PLCs using RSLogix 5000 or Studio 5000.
• Diagnose 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.

AI-driven predictive maintenance leverages machine learning and advanced data analytics to anticipate equipment failures and optimize maintenance scheduling. This approach shifts traditional reactive models toward proactive strategies, resulting in improved operational uptime, reduced costs, and extended asset lifespan.

This instructor-led training, available either online or onsite, is designed for intermediate-level professionals seeking to deploy AI-enhanced predictive maintenance solutions within industrial settings.

Upon completion of this training, participants will be capable of:

• Differentiating predictive maintenance from reactive and preventive maintenance approaches.
• Gathering and organizing machine data for AI-based analysis.
• Utilizing machine learning models to identify anomalies and forecast potential failures.
• Implementing comprehensive workflows that transform sensor data into actionable insights.

Course Format

• Engaging lectures and interactive discussions.
• Practical exercises and real-world case studies.
• Live demonstrations and hands-on data workflow practice.

Customization Options

• To arrange tailored training for this course, please get in touch with us.

AI for Process Optimization involves leveraging machine learning and data analytics to boost efficiency, quality, and throughput within manufacturing environments.

This instructor-led training, available online or onsite, is designed for intermediate-level manufacturing professionals seeking to utilize AI techniques to streamline operations, minimize downtime, and drive continuous improvement.

Upon completing this training, participants will be capable of:

• Grasping AI concepts pertinent to manufacturing optimization.
• Gathering and preparing production data for analysis.
• Deploying machine learning models to detect bottlenecks and forecast failures.
• Visualizing and interpreting outcomes to facilitate data-driven decision-making.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live-lab environment.

Customization Options

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

AI for Quality Control involves leveraging computer vision and machine learning techniques to detect defects, anomalies, and deviations within production processes.

This instructor-led live training, available online or onsite, is designed for beginner to intermediate quality professionals seeking to apply AI tools to automate inspections and enhance product quality in manufacturing settings.

Upon completing this training, participants will be able to:

• Grasp how AI is utilized in industrial quality control.
• Gather and annotate image or sensor data from production lines.
• Apply machine learning and computer vision methods to identify defects.
• Build simple AI models for anomaly detection and yield forecasting.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

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

Artificial Intelligence in Supply Chain and Manufacturing Logistics involves utilizing predictive analytics, machine learning, and automation to enhance inventory management, optimize routing, and improve demand forecasting.

This instructor-led live training, available online or onsite, is designed for intermediate-level supply chain professionals seeking to leverage AI-driven tools to boost logistics performance, achieve accurate demand forecasting, and automate warehouse and transportation operations.

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

• Grasp how AI is integrated into logistics and supply chain activities.
• Apply machine learning models for demand forecasting and inventory control.
• Analyze routes and optimize transport processes using AI techniques.
• Automate decision-making within warehouses and fulfillment workflows.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live-lab environment.

Course Customization Options

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

The implementation of AI use cases employs a project-focused, practical methodology to apply machine learning, computer vision, and data analytics for addressing real-world industrial challenges using authentic or simulated datasets.

This live training, led by an instructor (available online or in-person), targets intermediate-level cross-functional teams seeking to collaboratively implement AI initiatives aligned with their operational objectives and acquire experience working with industrial data pipelines.

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

• Identify and define practical AI use cases derived from operations, quality assurance, or maintenance functions.
• Collaborate across different roles to develop machine learning solutions.
• Manage, clean, and analyze a variety of industrial datasets.
• Present a functional prototype of an AI-driven solution based on a chosen use case.

Course Format

• Interactive lectures and discussions.
• Collaborative exercises and project work in groups.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To arrange customized training for this course, please reach out to us.

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

Digital Twins serve as virtual copies of physical assets, augmented with real-time data and AI-powered analytics.

This guided, live training session (available online or in-person) is designed for mid-level professionals seeking to create, implement, and refine digital twin models by leveraging real-time information and AI-driven insights.

Upon completion of this training, participants will be capable of:

• Grasping the architecture and key elements of digital twins.
• Employing simulation tools to model complex systems and environments.
• Integrating real-time data flows into virtual representations.
• Applying AI methods for predictive analysis and anomaly identification.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Practical implementation within a live lab environment.

Customization Opportunities

• For inquiries regarding tailored training for this course, please reach out to us to make arrangements.

Edge AI involves deploying artificial intelligence models directly onto devices and machines located at the network's edge, facilitating real-time decision-making with minimal latency.

This instructor-led live training, available online or onsite, is designed for advanced embedded and IoT professionals aiming to implement AI-driven logic and control systems in manufacturing settings where speed, reliability, and offline capability are essential.

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

• Grasp the architecture and advantages of edge AI systems.
• Create and optimize AI models for deployment on embedded hardware.
• Utilize tools such as TensorFlow Lite and OpenVINO for low-latency inference.
• Integrate edge intelligence with sensors, actuators, and industrial protocols.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request customized training for this course, please contact us to make arrangements.

Industrial computer vision powered by AI is revolutionizing the way manufacturers and quality assurance teams identify surface defects, verify part compliance, and automate visual inspection workflows.

This instructor-led, live training session (available online or onsite) is designed for QA teams, automation engineers, and developers at an intermediate to advanced level who aim to design and implement computer vision systems for defect detection and inspection using AI methodologies.

Upon completion of this training, participants will be capable of:

• Grasping the architecture and core components of industrial vision systems.
• Developing AI models for visual defect detection through deep learning.
• Integrating real-time inspection pipelines with industrial cameras and hardware.
• Deploying and optimizing AI-driven inspection systems for production environments.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level automation engineers and control system designers who wish 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 Slovakia (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.

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

• Configure and program Omron PLCs using Sysmac Studio.
• Understand and apply IEC concepts in ladder logic and structured text programming.
• Develop motion control programs for single-axis and coordinated movements.
• Create HMI interfaces using the NA series and integrate them with Sysmac controllers.
• Implement and simulate safety standards and programs using NX series safety hardware.

This course provides an introduction to the core principles of Programmable Logic Controllers (PLC). Following an overview of PLC fundamentals, participants will learn and apply essential Ladder Diagram instructions to real-world Industrial Automation scenarios. Target audience includes Electrical Specialists, Mechanical Engineers, and Programmers interested in Industrial Automation.

Smart Robotics represents the fusion of artificial intelligence with robotic systems to enhance perception, decision-making capabilities, and autonomous control.

This instructor-led live training, available either online or onsite, is designed for advanced robotics engineers, systems integrators, and automation leaders seeking to implement AI-driven perception, planning, and control within smart manufacturing settings.

Upon completing this training, participants will be able to:

• Comprehend and apply AI techniques for robotic perception and sensor fusion.
• Create motion planning algorithms for both collaborative and industrial robots.
• Implement learning-based control strategies to enable real-time decision-making.
• Integrate intelligent robotic systems into smart factory operational workflows.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

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