AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led, live training in Norway (online or onsite) targets supply chain professionals at intermediate to advanced levels who seek to enhance demand forecasting accuracy and optimize S&OP processes.

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

• Improving the accuracy of statistical forecasts and minimizing demand variability.
• Applying best practices in S&OP for both perishable and non-perishable goods.
• Employing advanced forecasting methods and data analytics for effective demand planning.
• Strengthening cross-functional collaboration among sales, operations, and supply chain teams.
• Utilizing digital tools to support superior S&OP decision-making.

AI-driven predictive maintenance leverages machine learning and data analytics to anticipate equipment failures and optimize maintenance schedules. This approach shifts maintenance strategies from reactive to proactive, resulting in improved uptime, reduced costs, and extended asset lifespan.

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

Upon completion, participants will be able to:

• Differentiate predictive maintenance from reactive and preventive maintenance strategies.
• Gather and organize machine data for AI analysis.
• Utilize machine learning models to identify anomalies and predict failures.
• Deploy comprehensive workflows transforming sensor data into actionable insights.

Course Format

• Interactive lectures and discussions.
• Practical exercises and case studies.
• Live demonstrations and hands-on data workflows.

Customization Options

• For tailored training on this topic, please contact us to arrange a session.

AI-driven process optimization applies machine learning and data analytics to boost efficiency, quality, and throughput in manufacturing operations.

This instructor-led live training, available online or onsite, targets intermediate-level manufacturing professionals aiming to leverage AI techniques to streamline operations, minimize downtime, and support continuous improvement efforts.

Upon completing this training, participants will be able to:

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

Course Format

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

Course Customization Options

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

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

This instructor-led training, available either online or on-site, is designed for quality professionals at the beginner to intermediate level 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 from production lines.
• Employ machine learning and computer vision technologies to identify defects.
• Create basic AI models for anomaly detection and yield forecasting.

Course Format

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

Customization Options

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

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 both online and 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.
• Identify key AI applications in manufacturing and automation.
• Explore how AI facilitates predictive maintenance, quality control, and process optimization.
• Evaluate 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

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

This course offers a hands-on, project-based methodology for leveraging machine learning, computer vision, and data analytics to address tangible industrial challenges, utilizing real or simulated datasets.

Designed as an instructor-led, live session (available online or on-site), the training targets intermediate-level cross-functional teams eager to collaboratively deploy AI solutions that align with their operational objectives while gaining practical experience with industrial data pipelines.

Upon completion, participants will be equipped to:

• Identify and define actionable AI use cases within operations, quality assurance, or maintenance.
• Collaborate effectively across different roles to engineer machine learning solutions.
• Manage, clean, and analyze varied industrial data sets.
• Deliver a functional prototype of an AI-driven solution based on a chosen use case.

Course Format

• Interactive lectures and discussions.
• Collaborative group exercises and project work.
• Practical implementation within a live laboratory environment.

Customization Options

• For information on tailoring this course to your specific needs, please contact us.

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 designed for supply chain professionals seeking to establish robust control and oversight of their supply chains, with a specific focus on cybersecurity.

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

• Identify security oversights that can cause significant damage and disruption to a supply chain.
• Deconstruct complex security challenges into manageable, actionable components.
• Tackle common supply chain vulnerabilities by analyzing high-risk areas and collaborating with stakeholders.
• Implement best practices for securing the supply chain.
• Significantly reduce or eliminate major risks to an organization's supply chain.

Digital Twins are virtual representations of physical systems, augmented by real-time data streams and intelligent analysis powered by AI.

This guided live training, available either online or on-site, is designed for intermediate-level professionals who aim to construct, implement, and refine digital twin models leveraging real-time information and AI-driven insights.

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

• Comprehend the architecture and core components of digital twins.
• Utilize simulation tools to create models of complex systems and environments.
• Incorporate real-time data streams into virtual models.
• Apply AI methodologies for predictive behavior analysis and anomaly detection.

Course Format

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

Course Customization Options

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

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

This instructor-led live training (available online or on-site) is designed for advanced-level embedded and IoT professionals aiming to deploy AI-driven logic and control systems in manufacturing environments where speed, reliability, and offline operation are paramount.

By the end of 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 practical 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 involves 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 (QA) teams identify surface defects, verify part compliance, and automate visual inspection workflows.

This instructor-led live training, available both online and onsite, 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 utilizing AI methodologies.

Upon completing this training, participants will be able to:

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

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.

The ISO 28000 Lead Implementer training program empowers you to acquire 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. Through this course, you will gain a deep understanding of best practices for Supply Chain Security Management Systems and learn to enhance the efficiency of managing potential security risks and their effects within an organization's supply chain.

Upon mastering the necessary 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 that you possess the practical knowledge and professional capabilities to successfully 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

• Acknowledge the correlation 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 specific context of an organization
• Learn how to support an organization to effectively plan, implement, manage, monitor and maintain a SCSMS
• Acquire the expertise to advise an organization in implementing Supply Chain Security Management System best practices

Educational approach

• This training is based on both theory and best practices used in the implementation of a SCSMS
• Lecture sessions are illustrated with examples based on case studies
• Practical exercises are based on a case study which includes role playing and discussions
• Practice tests are similar to the Certification Exam

General Information

• Certification fees are included on the exam price
• Training material containing over 450 pages of information and practical examples will be distributed
• A participation certificate of 31 CPD (Continuing Professional Development) credits will be issued
• In case of exam failure, you can retake the exam within 12 months for free

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

Upon completion 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 embedding artificial intelligence into robotic systems to enhance perception, decision-making, and autonomous control capabilities.

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

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

• Understand and apply AI techniques for robotic perception and sensor fusion.
• Develop motion planning algorithms for 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 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.