Introduction to AI in Smart Factories and Industrial Automation Training Course

The Allen Bradley platform is a extensively utilized industrial automation ecosystem designed for the configuration, control, and integration of PLCs, HMIs, and networked devices.

This instructor-led, live training (available online or onsite) targets intermediate-level automation professionals seeking to interconnect and integrate Allen Bradley automation devices using Ethernet to enable 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 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 with demonstrations utilizing Allen Bradley tools.
• Hands-on integration exercises involving Ethernet-connected devices.
• Practical configuration and testing in a live-lab environment.

Course Customization Options

• Tailored training versions can be organized based on specific device models or network architectures.

This instructor-led, live training in Mexico (online or onsite) is designed for beginner to intermediate-level engineers and technicians who want to master the core concepts of AB PLCs and apply them to practical manufacturing situations.

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

• Comprehend the role and uses of AB PLCs within the manufacturing sector.
• Program AB PLCs using RSLogix 5000/Studio 5000.
• Troubleshoot common problems and carry out maintenance on PLC systems.
• Design and implement a PLC-controlled system for a manufacturing process.
• Show proficiency in PLC programming through a practical project.

AI-driven predictive maintenance leverages machine learning and data analytics to anticipate equipment failures and optimize maintenance schedules. This approach shifts maintenance strategies from reactive to proactive, resulting in improved operational uptime, reduced costs, and extended asset lifespans.

This instructor-led live training (available online or on-site) is designed for intermediate-level professionals seeking to implement AI-based predictive maintenance solutions within industrial settings.

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

• Differentiate predictive maintenance from reactive and preventive maintenance strategies.
• Gather and organize machine data for AI-driven analysis.
• Utilize machine learning models to identify anomalies and forecast equipment failures.
• Deploy comprehensive workflows that transform sensor data into actionable insights.

Course Format

• Interactive lectures and discussions.
• Practical exercises and case studies.
• Live demonstrations and real-world data workflow practice.

Customization Options

• To request a customized version of this course, please contact us to arrange.

AI for Process Optimization involves applying machine learning and data analytics to improve efficiency, quality, and throughput in manufacturing operations.

This instructor-led, live training (online or onsite) is designed for intermediate-level manufacturing professionals who want to apply AI techniques to streamline operations, reduce downtime, and support continuous improvement initiatives.

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

• Understand AI concepts relevant to manufacturing optimization.
• Collect and prepare production data for analysis.
• Apply machine learning models to identify bottlenecks and predict failures.
• Visualize and interpret results to support data-driven decisions.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

AI for Quality Control leverages computer vision and machine learning techniques to identify defects, anomalies, and deviations within production processes.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate-level quality professionals who aim 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.
• Collect and label image or sensor data from production lines.
• Utilize machine learning and computer vision to detect defects.
• Develop basic AI models for anomaly detection and yield forecasting.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practice opportunities.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

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

AI in Supply Chain and Manufacturing Logistics leverages predictive analytics, machine learning, and automation to optimize inventory management, routing strategies, and demand forecasting.

This instructor-led live training, available online or onsite, targets intermediate-level supply chain professionals seeking to apply AI-driven tools to enhance logistics performance, improve demand forecasting accuracy, and automate warehouse and transport operations.

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

• Understand the application of AI across logistics and supply chain activities.
• Utilize machine learning models for demand forecasting and inventory control.
• Analyze routes and optimize transport using AI-based techniques.
• Automate decision-making processes in warehouses and fulfillment operations.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live lab environment.

Customization Options

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

The implementation of AI use cases utilizes a hands-on, project-oriented methodology to apply machine learning, computer vision, and data analytics for addressing real-world industrial challenges through actual or simulated datasets.

This instructor-led, live training (available online or onsite) targets intermediate-level cross-functional teams seeking to collaboratively deploy AI solutions that align with their operational objectives and build experience working with industrial data pipelines.

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

• Identifying and defining practical AI use cases within operations, quality, or maintenance functions.
• Collaborating across various roles to create machine learning solutions.
• Managing, cleaning, and analyzing a variety of industrial datasets.
• Delivering a functional prototype of an AI-driven solution based on a chosen use case.

Course Format

• Interactive lectures and discussions.
• Group exercises and project-based work.
• Practical implementation within a live lab environment.

Customization Options for the Course

• For requests to customize this training, please contact us to arrange.

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

This instructor-led training session, available either online or on-site, targets automotive engineers and testers at beginner to intermediate levels who aim to leverage CANoe for simulating, testing, and analyzing CAN-based communication systems.

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

• Install and set up CANoe along with its associated components
• Grasp the core principles of the CAN protocol and message framing
• Develop simulations for ECUs and CAN networks using CAPL scripting
• Effectively monitor, analyze, and troubleshoot CAN traffic

Digital Twins serve as virtual counterparts to physical systems, bolstered by live data feeds and artificial intelligence capabilities.

This guided, live training session (available online or in-person) targets intermediate professionals aiming to create, implement, and refine digital twin models leveraging real-time data and AI-derived insights.

Upon completing this training, participants will be equipped to:

• Grasp the structure and key elements of digital twins.
• Employ simulation software to model intricate systems and environments.
• Embed live data streams into virtual models.
• Utilize AI methods for forecasting behavior and identifying anomalies.

Course Format

• Engaging lectures and discussions.
• Abundant exercises and practical application.
• Practical implementation within a live laboratory setting.

Customization Options

• For tailored training on this topic, please reach out to us to coordinate.

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

This instructor-led, live training (available online or on-site) is designed for advanced-level embedded and IoT professionals who aim to implement AI-driven logic and control systems within manufacturing environments where speed, reliability, and offline operation are essential.

Upon completing this training, participants will be able to:

• Grasp the architecture and advantages of edge AI systems.
• Construct and optimize AI models for deployment on embedded devices.
• 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 in a live laboratory environment.

Course Customization Options

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

AI-driven industrial computer vision is revolutionizing the way manufacturers and QA teams identify surface defects, verify part conformity, and automate visual inspection processes.

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

Upon completing this training, participants will be able to:

• Understand the architecture and components of industrial vision systems.
• Build AI models for visual defect detection using deep learning.
• Integrate real-time inspection pipelines with industrial cameras and devices.
• Deploy and optimize AI-powered inspection systems for production environments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Mexico (online or on-site) is designed for intermediate-level automation engineers and control system designers seeking 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 motion-related hardware and software within Sysmac Studio.
• Program and optimize motion control for both single-axis and multi-axis systems.
• Deploy coordinated motion strategies, including interpolation and synchronization techniques.

This instructor-led, live training in Mexico (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 (PLCs). After covering the core concepts of PLCs, participants will learn and apply basic Ladder Diagram instructions to real-world Industrial Automation tasks. This course is designed for Electrical Specialists, Mechanical Engineers, and Programmers interested in Industrial Automation.

Smart Robotics involves integrating artificial intelligence into robotic systems to enhance perception, decision-making, and autonomous control capabilities.

This instructor-led live training, available online or onsite, targets advanced robotics engineers, systems integrators, and automation leads looking to implement AI-driven perception, planning, and control within smart manufacturing settings.

Upon completing this training, participants will be equipped to:

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

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

• For customized training requests, please contact us to arrange details.