Introduction to AI in Smart Factories and Industrial Automation Training Course

The Allen Bradley platform represents a globally recognized industrial automation ecosystem designed for configuring, controlling, and integrating PLCs, HMIs, and networked devices.

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

Customization Options

• Training modules can be tailored to specific device models or network architectures.

This instructor-led, live training in India (online or onsite) is designed for beginner to intermediate-level engineers and technicians who aim to master the fundamentals of Allen-Bradley PLCs and apply them to practical manufacturing scenarios.

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

• Grasp the role and applications of Allen-Bradley PLCs within the manufacturing sector.
• Program Allen-Bradley 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.

AI-driven predictive maintenance leverages machine learning and data analytics to anticipate equipment failures and refine maintenance schedules. This approach shifts maintenance strategies from reactive to proactive, enhancing uptime, reducing costs, and extending asset lifespan.

This instructor-led live training, available online or onsite, targets intermediate-level professionals looking to deploy AI-based predictive maintenance solutions within industrial settings.

Upon completing this training, participants will be equipped to:

• Distinguish predictive maintenance from reactive and preventive maintenance strategies.
• Gather and organize machine data for AI-led analysis.
• Utilize machine learning models to identify anomalies and forecast failures.
• Establish end-to-end workflows that transform sensor data into actionable insights.

Course Format

• Engaging lectures and discussions.
• Practical exercises and case study analyses.
• Live demonstrations and hands-on data workflow practices.

Customization Options

• For a tailored training experience, please reach out to us to make arrangements.

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

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

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

• Grasp AI concepts specifically applicable to manufacturing optimization.
• Collect and prepare production data for in-depth analysis.
• Deploy machine learning models to pinpoint bottlenecks and forecast equipment failures.
• Visualize and interpret data outcomes to facilitate evidence-based decision-making.

Course Format

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

Customization Options

• For tailored training solutions, please contact us to arrange a customized session.

AI-driven Quality Control leverages computer vision and machine learning algorithms to detect defects, anomalies, and deviations within production workflows.

This instructor-led live training, available online or onsite, is designed for quality professionals ranging from beginner to intermediate levels who aim to utilize AI tools to automate inspections and enhance product quality in manufacturing settings.

Upon completing this training, participants will be capable of:

• Grasping the application of AI in industrial quality control.
• Gathering and annotating image or sensor data from production lines.
• Utilizing machine learning and computer vision for defect detection.
• Creating basic AI models for anomaly detection and yield prediction.

Course Delivery Format

• Engaging lectures combined with interactive discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live lab environment.

Customization Options for the Course

• For bespoke training arrangements, please reach out to us.

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level supply chain professionals who wish to apply AI-driven tools to enhance logistics performance, forecast demand accurately, and automate warehouse and transport operations.

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

• Understand how AI is applied across logistics and supply chain activities.
• Use machine learning models for demand forecasting and inventory control.
• Analyze routes and optimize transport using AI-based techniques.
• Automate decision-making in warehouses and fulfillment processes.

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 session offers a project-based methodology for applying machine learning, computer vision, and data analytics to address real-world industrial challenges, utilizing either live or simulated datasets.

Designed as an instructor-led, live training (available online or onsite), this program targets intermediate-level cross-functional teams aiming to collaboratively implement AI initiatives that align with their operational objectives while gaining practical experience with industrial data pipelines.

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

• Identify and define practical AI use cases within operations, quality assurance, or maintenance domains.
• Collaborate across various roles to engineer machine learning solutions.
• Manage, cleanse, and analyze heterogeneous industrial datasets.
• Deliver a functional prototype of an AI-driven solution tailored to a specific use case.

Course Format

• Engaging lectures paired with interactive discussions.
• Team-based exercises and collaborative project work.
• Practical implementation within a live-lab environment.

Customization Options

• For bespoke training arrangements, please reach out to us.

CANoe is a robust software solution developed by Vector, designed for the development, testing, and analysis of in-vehicle networks and Electronic Control Units (ECUs), particularly those leveraging the CAN (Controller Area Network) protocol.

This instructor-led, live training session (available online or onsite) is tailored for automotive engineers and testers at beginner to intermediate levels who aim to utilise CANoe for simulating, testing, and analysing CAN-based communication systems.

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

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

Digital Twins serve as virtual copies of physical entities, supercharged by real-time data feeds and AI-powered analytics.

This instructor-led live training, available both online and onsite, targets intermediate-level professionals eager to construct, deploy, and refine digital twin models leveraging real-time data and AI-driven insights.

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

• Comprehend the architecture and key components of digital twins.
• Utilise simulation tools to model intricate systems and environments.
• Seamlessly integrate real-time data streams into virtual models.
• Apply AI methodologies for predictive analytics and anomaly detection.

Course Format

• Engaging lectures and interactive discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation within a live-lab setup.

Customisation Options

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

Edge AI involves deploying artificial intelligence models directly onto devices and machines 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-level embedded and IoT professionals who aim to deploy AI-powered logic and control systems within manufacturing environments where speed, reliability, and offline operation are paramount.

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

• Comprehend 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.

Format of the Course

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

Course Customization Options

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

The integration of AI with industrial computer vision is revolutionizing the way manufacturers and quality assurance (QA) teams identify surface defects, verify part conformity, and automate visual inspection workflows.

This instructor-led live training, available online or on-site, is designed for intermediate to advanced QA teams, automation engineers, and developers looking to design and implement computer vision systems for defect detection and inspection using AI methodologies.

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

• Comprehend the architecture and key components of industrial vision systems.
• Construct AI models for visual defect detection utilizing deep learning techniques.
• Integrate real-time inspection pipelines with industrial cameras and devices.
• Deploy and optimize AI-powered inspection systems within production environments.

Course Format

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

Course Customization Options

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

This instructor-led live training session in India (available online or onsite) is tailored for intermediate-level automation engineers and control system designers seeking to implement motion control solutions using Omron PLCs.

By the conclusion 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 India (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 foundational aspects of Programmable Logic Controllers (PLC). After exploring the core concepts of PLCs, students will learn and practice essential Ladder Diagram instructions through practical Industrial Automation exercises. This programme is designed for Electrical Specialists, Mechanical Engineers, and Programmers interested in Industrial Automation.

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

This instructor-led live training, available online or at your premises, is designed for advanced robotics engineers, systems integrators, and automation leads who aim to implement AI-driven perception, planning, and control within smart manufacturing settings.

Upon completing this training, participants will be equipped to:

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

Course Format

• Engaging lectures and interactive discussions.
• Ample exercises and practical practice sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For tailored training requirements, please reach out to us to make the necessary arrangements.