AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led live training in Czech Republic (online or onsite) is designed for intermediate to advanced supply chain professionals who aim 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-powered predictive maintenance leverages machine learning and advanced data analytics to anticipate equipment failures and optimize maintenance schedules. This approach shifts organizations from reactive maintenance models to proactive strategies, resulting in improved uptime, reduced costs, and extended asset lifespan.

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

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

• Distinguish 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 failures.
• Establish complete workflows ranging from sensor data collection to actionable insights.

Course Format

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

Customization Options

• For personalized training requests, please reach out to us to make arrangements.

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

This instructor-led live training (available online or on-site) targets intermediate-level manufacturing professionals seeking to use AI techniques to streamline operations, minimize downtime, and drive continuous improvement.

Upon completion, participants will be able to:

• Grasp AI concepts pertinent to manufacturing optimization.
• Gather and prepare production data for analysis.
• Utilize machine learning models to spot bottlenecks and forecast failures.
• Interpret and visualize results to facilitate data-driven decision-making.

Course Format

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

Customization Options

• To arrange a tailored training session for this course, please reach out to us.

AI-driven quality control utilizes computer vision and machine learning to detect defects, anomalies, and process deviations within manufacturing workflows.

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

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

• Grasp the application of AI in industrial quality control.
• Gather and annotate image or sensor data from production lines.
• Employ machine learning and computer vision techniques to identify defects.
• Construct simple AI models for anomaly detection and yield forecasting.

Course Format

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

Customization Options

• For requests regarding customized training for this course, please contact us to arrange.

Artificial intelligence in smart factories involves applying AI technologies 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 within smart factory environments.

Upon completing this training, participants will be able to:

• Grasp the fundamental principles of AI and machine learning.
• Recognize key AI use cases in manufacturing and automation sectors.
• Explore how AI facilitates predictive maintenance, quality control, and process optimization.
• Assess the necessary steps for initiating AI-driven projects.

Course Format

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

Course Customization Options

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

This course adopts a project-based methodology to teach the application of machine learning, computer vision, and data analytics for addressing real-world industrial challenges using authentic or simulated datasets.

Delivered by an instructor via online or onsite sessions, this training targets intermediate-level, cross-functional teams seeking to collaboratively implement AI initiatives that align with their operational objectives. Participants will gain practical experience working with industrial data pipelines.

Upon completion, participants will be able to:

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

Course Format

• Interactive lectures and discussions.
• Group exercises and collaborative project work.
• Hands-on implementation within a live-lab environment.

Customization Options

• For customized training arrangements, please contact us.

This instructor-led, live training in Czech Republic (online or onsite) is designed for intermediate-level supply chain professionals seeking comprehensive preparation for the Certified Supply Chain Professional (CSCP) exam.

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

• Develop a deep understanding of all core areas of supply chain management, from demand forecasting to logistics and distribution.
• Prepare for the CSCP exam through targeted study materials, practice exams, and review sessions.
• Apply supply chain management principles and best practices in real-world scenarios to enhance 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.

Digital Twins serve as virtual representations of physical systems, augmented by real-time information and AI-powered analytics.

This instructor-led live training (available online or on-site) targets intermediate-level professionals seeking to construct, implement, and optimize digital twin models utilizing real-time data and AI-based insights.

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

• Grasping the architecture and constituent elements of digital twins.
• Employing simulation tools to model intricate systems and environments.
• Integrating real-time data streams into virtual models.
• Applying AI techniques for predicting behavior and detecting anomalies.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical 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.

Edge AI involves deploying artificial intelligence models directly on devices and machinery 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 aiming to implement AI-driven logic and control systems within manufacturing settings where speed, reliability, and offline functionality are paramount.

Upon completing this training, participants will be able to:

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

Course Format

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

Course Customization Options

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

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.

The integration of AI into industrial computer vision is revolutionizing the way manufacturers and quality assurance teams identify surface defects, verify component conformity, and automate visual inspection workflows.

This instructor-led live training, available both online and onsite, is designed for intermediate to advanced quality assurance teams, automation engineers, and developers looking to design and implement computer vision systems for defect detection and inspection using artificial intelligence.

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

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

Course Format

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

Customization Options

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

The ISO 28000 Lead Implementer training program equips you with the necessary expertise to assist an organization in establishing, implementing, managing, and maintaining a Supply Chain Security Management System (SCSMS) in accordance with ISO 28000. Throughout this course, you will gain a comprehensive understanding of best practices for SCSMS, enabling you to enhance efficiency in managing potential security risks and their impacts within the organization’s supply chain.

Upon mastering the essential concepts of Supply Chain Security Management Systems, you will be eligible to sit for the exam and apply for the “PECB Certified ISO 28000 Lead Implementer” certification. Holding a PECB Lead Implementer Certificate demonstrates that you possess the practical knowledge and professional capabilities required 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 conformance with SCSMS requirements
• Members of the SCSMS team

Learning objectives

• Understand the correlation 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
• Learn how 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 a case study approach, incorporating role-playing and group discussions
• Practice tests mirror the format of the Certification Exam

General Information

• Certification fees are included in the exam price
• Training material comprising over 450 pages of information and practical examples will be distributed
• A participation certificate awarding 31 CPD (Continuing Professional Development) credits will be issued
• In the event of an exam failure, you may retake the exam within 12 months at no additional cost

This instructor-led live training in Czech Republic (offered online or onsite) is designed for beginner to intermediate-level supply chain managers and ERP administrators seeking to learn how to leverage Microsip SCM to manage and enhance their supply chain processes and performance.

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

• Understand the core concepts and benefits of Microsip SCM and its integration with Microsip ERP.
• Plan, execute, and control their supply chain processes using Microsip SCM.
• Monitor and analyze their supply chain performance and identify improvement opportunities.
• Collaborate and communicate with their suppliers, customers, and partners.

This instructor-led live training in Czech Republic (online or on-site) is designed for managers seeking to streamline their organization's supply chain (including coordination with customers, suppliers, contract manufacturers, logistics service providers, and other partners).

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

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

Upon completing this training, participants will be able to:

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

Format of the Course

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

Course Customization Options

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