AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led, live training in Sweden (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 data analytics to anticipate equipment failures and optimize maintenance schedules. It shifts reactive maintenance models toward proactive strategies, enhancing uptime, reducing costs, and extending 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 completing this training, participants will be able to:

• Distinguish predictive maintenance from reactive and preventive strategies.
• Gather and structure machine data for AI analysis.
• Utilize machine learning models to detect anomalies and predict failures.
• Deploy end-to-end workflows transforming sensor data into actionable insights.

Course Format

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

Customization Options

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

Artificial Intelligence for Process Optimization involves utilizing machine learning and data analytics to boost efficiency, enhance product quality, and increase throughput within manufacturing environments.

This instructor-led training, available either online or onsite, is designed for manufacturing professionals with intermediate experience who aim to implement AI strategies to streamline operations, minimize downtime, and foster continuous improvement.

Upon completing this course, participants will be equipped to:

• Grasp AI concepts pertinent to manufacturing optimization.
• Gather and ready production data for analytical review.
• Utilize machine learning models to detect bottlenecks and forecast equipment failures.
• Visualize and interpret outcomes to facilitate evidence-based decision-making.

Course Format

• Engaging lectures coupled with interactive discussions.
• Numerous practical exercises and drills.
• Practical implementation within a live laboratory environment.

Customization Opportunities

• For tailored training options for this course, please reach out to us to arrange details.

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

This instructor-led training, available either 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 completion of this training, participants will be able to:

• Comprehend the application of AI in industrial quality control.
• Gather and annotate image or sensor data generated by production lines.
• Apply machine learning and computer vision techniques to detect defects.
• Construct basic AI models for anomaly detection and yield forecasting.

Course Format

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

Customization Options

• For inquiries regarding customized training for this course, please contact us to make arrangements.

Artificial Intelligence (AI) 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 who want to gain a strategic and practical introduction to leveraging AI within smart factory environments.

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

• Grasp the core principles of AI and machine learning.
• Identify key AI applications in manufacturing and automation.
• Explore how AI supports predictive maintenance, quality control, and process optimization.
• Evaluate the steps involved in launching AI-driven initiatives.

Format of the Course

• Interactive lecture and discussion.
• Real-world case studies and group exercises.
• Strategic frameworks and implementation guidance.

Course Customization Options

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

AI Use Case Implementation adopts a hands-on, project-centric methodology to apply machine learning, computer vision, and data analytics for resolving real-world industrial challenges using actual or simulated datasets.

This instructor-led, live training (available online or onsite) targets intermediate-level cross-functional teams seeking to collaboratively implement AI use cases that align with their operational objectives and gain practical experience with industrial data pipelines.

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

• Identifying and defining practical AI use cases within operations, quality assurance, or maintenance.
• Collaborating across various roles to develop machine learning solutions.
• Managing, cleaning, and analyzing diverse industrial datasets.
• Presenting a functional prototype of an AI-enabled solution based on a chosen use case.

Course Format

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

Customization Options

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

This instructor-led live training in Sweden (online or onsite) is intended for intermediate-level supply chain professionals who wish to undergo comprehensive preparation for the Certified Supply Chain Professional (CSCP) exam.

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

• Develop a comprehensive understanding of all essential areas of supply chain management, from demand forecasting to logistics and distribution.
• Prepare for the Certified Supply Chain Professional (CSCP) exam through focused study materials, practice examinations, and review sessions.
• Apply supply chain management principles and best practices in real-world scenarios, thereby improving operational efficiency and effectiveness.
• Learn 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 replicas of physical systems, augmented by real-time data feeds and AI-powered intelligence.

This instructor-led live training, available either online or onsite, is designed for intermediate-level professionals seeking to build, deploy, and optimize digital twin models leveraging real-time data and AI-driven insights.

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

• Grasp the architecture and key components of digital twins.
• Utilize simulation tools to model complex systems and environments.
• Integrate real-time data streams into virtual models.
• Apply AI techniques for predictive behavior analysis and anomaly detection.

Course Format

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

Customization Options

• For customized training requests, please contact us to make arrangements.

Edge AI involves deploying artificial intelligence models directly onto 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 embedded and IoT professionals seeking to implement AI-driven logic and control systems in manufacturing settings 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.

Format of the Course

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

Course Customization Options

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

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.

Artificial intelligence is revolutionizing industrial computer vision, enabling manufacturers and quality assurance teams to identify surface flaws, verify part compliance, and automate visual inspection workflows.

This instructor-led live training, available online or on-site, targets intermediate to advanced quality assurance teams, automation engineers, and developers aiming to design and implement AI-based computer vision systems for defect detection and inspection.

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

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

Course Format

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

Customization Options

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

The ISO 28000 Lead Implementer training program is designed to equip you with the essential expertise required 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 deep understanding of best practices for Supply Chain Security Management Systems and learn how to enhance efficiency in managing potential security risks and their impacts within an organization’s supply chain.

Once you have mastered the key concepts of Supply Chain Security Management Systems, you may sit for the exam and apply for the PECB Certified ISO 28000 Lead Implementer credential. Holding a PECB Lead Implementer Certificate demonstrates your practical knowledge and professional capability to implement ISO 28000 within an organization.

Who should attend?

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

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
• Acquire skills to support an organization in effectively planning, implementing, managing, monitoring, and maintaining an SCSMS
• Gain the expertise to advise organizations on implementing best practices for Supply Chain Security Management Systems

Educational approach

• This training is grounded in both theory and best practices for SCSMS implementation
• Lecture sessions are illustrated with examples from case studies
• Practical exercises are based on a case study, including role-playing and discussions
• Practice tests mirror the format of the Certification Exam

General Information

• Certification fees are included in the exam price
• Training material 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
• In the event of an exam failure, you may retake the exam within 12 months at no additional cost

This instructor-led live training, delivered Sweden (either online or onsite), is designed for beginner to intermediate supply chain managers and ERP administrators who want to learn how to leverage Microsip SCM to manage and enhance their supply chain processes and performance.

By the end 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 Sweden (online or onsite) is designed for managers aiming to streamline their organization's supply chain (including inter-departmental processes and collaborations with customers, suppliers, contract manufacturers, logistics service providers, and other partners).

Intelligent robotics involves embedding artificial intelligence into robotic systems to enhance perception, decision-making capabilities, and autonomous control.

This instructor-led training session, available both online and on-site, is designed for advanced robotics engineers, systems integrators, and automation specialists who aim 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 methodologies for robotic perception and sensor fusion.
• Create motion planning algorithms tailored for both collaborative and industrial robots.
• Implement learning-based control strategies to facilitate real-time decision-making.
• Seamlessly integrate intelligent robotic systems into smart factory workflows.

Course Format

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

Customization Options

• For bespoke training arrangements for this course, please get in touch with us.