AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led, live training in Norway (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-powered predictive maintenance leverages machine learning and data analytics to predict equipment failures and optimize maintenance schedules. This approach transforms traditional reactive maintenance into proactive strategies, leading to improved uptime, reduced costs, and extended asset life.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who aim to implement AI-driven predictive maintenance solutions in industrial settings.

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

• Understand the distinctions between predictive maintenance and reactive or preventive maintenance strategies.
• Gather and organize machine data for AI-driven analysis.
• Use machine learning models to identify anomalies and predict potential failures.
• Implement comprehensive workflows from sensor data collection to actionable insights.

Format of the Course

• Interactive lectures and discussions.
• Practical exercises and case studies.
• Live demonstrations and practical data workflows.

Course Customization Options

• For a customized version of this training, please contact us to arrange.

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

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

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

• Grasp AI concepts pertinent to manufacturing optimization.
• Gather and prepare production data for analysis.
• Implement machine learning models to identify bottlenecks and predict failures.
• Visualize and interpret results to facilitate data-driven decisions.

Format of the Course

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

Course Customization Options

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

AI for Quality Control involves the use of computer vision and machine learning techniques to identify defects, anomalies, and deviations in production processes.

This instructor-led, live training (available online or on-site) is designed for quality professionals at beginner to intermediate levels who wish to apply AI tools to automate inspections and enhance product quality in manufacturing environments.

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

• Understand how AI is utilized in industrial quality control.
• Collect and label image or sensor data from production lines.
• Use machine learning and computer vision to detect defects.
• Develop simple AI models for anomaly detection and yield forecasting.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• 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 in Smart Factories involves the application of 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 who wish to gain a strategic and practical understanding of how AI can be utilized in smart factory environments.

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

• Grasp the fundamental principles of AI and machine learning.
• Recognize key AI applications in manufacturing and automation.
• Examine how AI facilitates predictive maintenance, quality control, and process optimization.
• Assess the steps required to initiate AI-driven projects.

Format of the Course

• Interactive lectures and discussions.
• Real-world case studies and group activities.
• Strategic frameworks and implementation advice.

Course Customization Options

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

AI Use Case Implementation is a practical, project-oriented approach to applying machine learning, computer vision, and data analytics to address real-world industrial challenges using actual or simulated datasets.

This instructor-led, live training (available online or on-site) is designed for intermediate-level cross-functional teams who want to collaboratively implement AI use cases that align with their operational goals and gain hands-on experience working with industrial data pipelines.

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

• Identify and scope practical AI use cases related to operations, quality, or maintenance.
• Collaborate effectively across different roles to develop machine learning solutions.
• Manage, clean, and analyze a variety of industrial datasets.
• Present a functional prototype of an AI-enabled solution based on a selected use case.

Format of the Course

• Interactive lectures and discussions.
• Group-based exercises and project work.
• 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 Norway (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 Norway (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 are virtual representations of physical systems that are enhanced with real-time data and AI-driven insights.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who aim to build, deploy, and optimize digital twin models using real-time data and AI-based analytics.

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

• Grasp the architecture and 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 and anomaly detection.

Format of the Course

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

Course Customization Options

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

Edge AI involves deploying artificial intelligence models directly on devices and machines at the network's edge, enabling real-time decision-making with minimal latency.

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

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

• Understand the architecture and advantages of edge AI systems.
• Build and optimize AI models for deployment on embedded devices.
• Utilize tools like 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 in a live-lab environment.

Course Customization Options

• To request a 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 gain access to innovation.

This instructor-led, live training (online or onsite) is designed for procurement and supply chain professionals at all levels who aim to develop and qualify suppliers in China and effectively manage the challenges of global sourcing.

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

• Understand the benefits, risks, and challenges associated with 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 enhance participation and success rates.

Format of the Course

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

Course Customization Options

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

Industrial computer vision with AI is revolutionizing the way manufacturers and QA teams identify surface defects, ensure part conformity, and automate visual inspection processes.

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

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

• Understand the architecture and components of industrial vision systems.
• Develop 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.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

The ISO 28000 Lead Implementer training equips you with the essential expertise to assist an organization in establishing, implementing, managing, and maintaining a Supply Chain Security Management System (SCSMS) based on ISO 28000. Throughout this training course, you will gain a comprehensive understanding of the 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 all the necessary concepts of Supply Chain Security Management Systems, you can take the exam and apply for the “PECB Certified ISO 28000 Lead Implementer” credential. Holding a PECB Lead Implementer Certificate will demonstrate your practical knowledge and professional capabilities 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 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 the implementation and effective management of a SCSMS
• Learn how to interpret the ISO 28000 requirements in the context of an organization
• Gain knowledge on how to support an organization in effectively planning, implementing, managing, monitoring, and maintaining a 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 practical best practices used in the implementation of a SCSMS
• Lecture sessions are enriched with examples based on real-world case studies
• Practical exercises include role-playing and discussions based on a detailed case study
• Practice tests closely resemble the Certification Exam

General Information

• Certification fees are included in the exam price
• Training materials, which contain over 450 pages of information and practical examples, will be provided
• A participation certificate with 31 CPD (Continuing Professional Development) credits will be issued
• If you fail the exam, you can retake it within 12 months at no additional cost

This instructor-led, live training in Norway (online or onsite) is aimed at beginner-level to intermediate-level supply chain managers and ERP administrators who wish to learn how to use Microsip SCM to manage and improve 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.

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

This instructor-led, live training (available both online and on-site) is designed for advanced-level robotics engineers, systems integrators, and automation leaders who aim to implement AI-driven perception, planning, and control in smart manufacturing environments.

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

• Understand and apply AI techniques to improve robotic perception and sensor fusion.
• Develop 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.

Format of the Course

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

Course Customization Options

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