AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level to advanced-level supply chain professionals who wish to improve demand forecasting accuracy and optimize S&OP processes.

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

• Enhance statistical forecast accuracy and reduce demand variability.
• Implement best practices in S&OP for perishable and non-perishable products.
• Utilize advanced forecasting techniques and data analytics for demand planning.
• Optimize cross-functional collaboration between sales, operations, and supply chain teams.
• Leverage digital tools for better S&OP decision-making.

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.

AI in Smart Factories involves applying artificial intelligence to automate, monitor, and optimize industrial operations in real time.

This instructor-led live training, available online or onsite, is designed for beginner-level decision-makers and technical leads seeking a strategic and practical introduction to leveraging AI in smart factory environments.

Upon completing this training, participants will be able to:

• Comprehend the fundamental principles of AI and machine learning.
• Recognize key AI use cases in manufacturing and automation.
• Explore how AI facilitates predictive maintenance, quality control, and process optimization.
• Assess the steps required to launch AI-driven initiatives.

Course Format

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

Course Customization Options

• For customized training requests, 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.

This instructor-led, live training in Slovakia (online or onsite) targets executives, directors, and managers who wish to utilize blockchain technology to manage their supply chain operations and needs.

By the end of this training, participants will be able to implement blockchain solutions to track, operate, and streamline their supply chain processes.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level supply chain professionals who wish to have a comprehensive training to prepare for the Certified Supply Chain Professional (CSCP) exam.

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

• Gain an in-depth understanding of all key areas of supply chain management, from demand forecasting to logistics and distribution.
• Prepare for the Certified Supply Chain Professional (CSCP) exam through targeted study materials, practice exams, and review sessions.
• Apply supply chain management principles and best practices in real-world scenarios, improving operational efficiency and effectiveness.
• Learn how to identify, assess, and mitigate supply chain risks to ensure business continuity and resilience.
• Manage global supply chains, including navigating international logistics, regulatory challenges, and cultural differences.

This instructor-led, live training in Slovakia (online or onsite) is aimed at supply chain professionals who wish to establish effective control and oversight of their supply chain, especially as it relates to cybersecurity.

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

• Understand the security oversights that can bring about significant damage and disruption to a supply chain.
• Break down a complex security problem into manageable and actionable parts.
• Address common supply chain vulnerabilities by analyzing high risk areas and engaging with stakeholders.
• Adopt best practices in securing a supply chain.
• Noticeably reduce or eliminate the biggest risks to an organization's supply chain.

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.

Global Supplier Management is a strategic approach to sourcing goods and services from international markets to enhance competitiveness, reduce costs, and access innovation.

This instructor-led, live training (online or onsite) is aimed at beginner-level to advanced-level procurement and supply chain professionals who wish to develop and qualify suppliers in China and manage the challenges of global sourcing effectively.

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

• Understand the benefits, risks, and challenges of global sourcing.
• Navigate cultural differences and communication styles when working with Chinese suppliers.
• Identify, qualify, and manage suppliers in China according to international standards.
• Adapt procurement and bidding processes for foreign suppliers to increase participation and success rates.

Format of the Course

• Interactive lecture and discussion.
• Case studies and real-world examples.
• Practical tools and checklists for supplier management.

Course Customization Options

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

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.

The ISO 28000 Lead Implementer training equips you with the essential expertise to help an organization establish, implement, manage, and maintain a Supply Chain Security Management System (SCSMS) aligned with ISO 28000. Throughout this course, you will gain a deep understanding of best practices for SCSMS and learn how to enhance the efficiency of managing potential security risks and their impacts on the organization’s supply chain.

Once you have mastered the core concepts of Supply Chain Security Management Systems, you can take the exam to apply for the “PECB Certified ISO 28000 Lead Implementer” credential. Holding this PECB Lead Implementer Certificate demonstrates that you possess the practical knowledge and professional skills necessary to implement ISO 28000 within an organization.

Who should attend?

• Managers or consultants involved in Supply Chain Security Management
• Expert advisors aiming to master the implementation of a Supply Chain Security Management System
• Individuals responsible for ensuring compliance with SCSMS requirements
• SCSMS team members

Learning objectives

• Understand the relationship between ISO 28000 and other standards and regulatory frameworks
• Master the concepts, approaches, methods, and techniques used for implementing and effectively managing an SCSMS
• Learn how to interpret ISO 28000 requirements within the specific context of an organization
• Gain the ability to support an organization in planning, implementing, managing, monitoring, and maintaining an SCSMS
• Acquire the expertise to advise organizations on implementing best practices for Supply Chain Security Management Systems

Educational approach

• This training combines theoretical knowledge with best practices used in SCSMS implementation
• Lecture sessions are enriched with examples derived from case studies
• Practical exercises utilize case studies that include role-playing and group discussions
• Practice tests mirror the format and difficulty of the Certification Exam

General Information

• The certification fee is included in the exam price
• Training materials containing over 450 pages of information and practical examples will be provided
• A participation certificate awarding 31 CPD (Continuing Professional Development) credits will be issued
• If you do not pass the exam, you may retake it free of charge within 12 months

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.