AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led live training in France (online or onsite) is designed for intermediate to advanced supply chain professionals aiming 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 planning. This approach shifts organizations from reactive maintenance models to proactive strategies, resulting in improved equipment uptime, reduced costs, and extended asset lifespan.

This instructor-led live training (available online or on-site) is designed for intermediate-level professionals aiming to implement AI-driven predictive maintenance solutions within industrial settings.

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

• Differentiate predictive maintenance from reactive and preventive maintenance strategies.
• Collect and structure machine data for AI-driven analysis.
• Apply machine learning models to detect anomalies and forecast failures.
• Implement comprehensive workflows that transform sensor data into actionable insights.

Course Format

• Interactive lectures and group discussions.
• Practical exercises and real-world case studies.
• Live demonstrations and hands-on data workflow practice.

Customization Options

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

AI-driven process optimization involves applying machine learning and advanced data analytics to boost efficiency, enhance product quality, and increase throughput in manufacturing environments.

This instructor-led live training, available either online or on-site, is designed for intermediate-level manufacturing professionals seeking to utilize AI techniques to streamline operations, minimize downtime, and advance continuous improvement efforts.

Upon completing this training, participants will be able to:

• Grasp core AI concepts pertinent to manufacturing optimization.
• Gather and prepare production data for comprehensive analysis.
• Implement machine learning models to detect bottlenecks and forecast equipment failures.
• Visualize and interpret analytical outcomes to facilitate data-informed decision-making.

Course Format

• Engaging lectures coupled with interactive discussions.
• Extensive practical exercises and hands-on practice.
• Real-time implementation within a live-lab environment.

Customization Options

• For tailored training requests, please reach out to us to arrange your specific needs.

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

This instructor-led live training (available online or onsite) targets beginner to intermediate quality professionals aiming to apply AI tools for automating inspections and enhancing product quality in manufacturing settings.

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

• Grasp how AI is implemented in industrial quality control.
• Gather and label image or sensor data from production lines.
• Utilize machine learning and computer vision techniques to detect defects.
• Create simple AI models for anomaly detection and yield forecasting.

Format of the Course also allows for the evaluation of participants.

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

Course Customization Options

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

The integration of AI into Smart Factories involves applying artificial intelligence technologies to automate, monitor, and optimize industrial operations in real time.

This instructor-led live training, available either online or on-site, is designed for beginner-level decision-makers and technical leads who want to gain a strategic and practical understanding of how AI can be utilized 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 applications in manufacturing and automation.
• 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 discussions.
• Real-world case studies and collaborative exercises.
• Strategic frameworks and guidance on implementation.

Customization Options

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

Implementing AI Use Cases employs a project-based, hands-on methodology to apply machine learning, computer vision, and data analytics in addressing real-world industrial challenges, utilizing actual or simulated datasets.

This live, instructor-led training (available online or onsite) is designed for intermediate-level cross-functional teams seeking to collaboratively implement AI solutions that align with their operational objectives while gaining practical experience with industrial data pipelines.

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

• Identify and define practical AI use cases within operations, quality assurance, or maintenance.
• Collaborate effectively across different roles to develop machine learning solutions.
• Process, clean, and analyze diverse industrial datasets.
• Demonstrate a functional prototype of an AI-enabled solution derived from a selected use case.

Course Format

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

Course Customization Options

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

This instructor-led, live training in France (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.

Digital twins serve as virtual counterparts to physical systems, augmented by real-time information and artificial intelligence capabilities.

This instructor-led training, available online or onsite, is designed for intermediate-level professionals seeking to create, implement, and optimize digital twin models leveraging real-time data and AI-driven analytics.

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

• Grasp the architecture and core components of digital twins.
• Utilize simulation tools to model 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 discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Customization Options

• For information on customizing this training, please contact us to arrange your requirements.

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

This instructor-led live training (available online or onsite) targets advanced embedded and IoT professionals aiming to implement AI-driven logic and control systems in manufacturing settings where speed, reliability, and offline operation are paramount.

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.

Course Format

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

Course Customization Options

• To request a customized version of 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 also allows for the evaluation of participants.

• 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 flaws, verify part conformity, and automate visual inspection workflows.

This instructor-led live training, available either online or on-site, targets intermediate to advanced QA teams, automation engineers, and developers eager to design and deploy computer vision systems for defect detection and inspection using artificial intelligence techniques.

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

• Grasp the architecture and key components of industrial vision systems.
• Construct AI models for visual defect detection utilizing deep learning methods.
• Integrate real-time inspection pipelines with industrial cameras and hardware.
• Deploy and optimize AI-driven inspection systems within production environments.

Course Format

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

Course Customization Options

• For those seeking a customized training program for this course, please contact us to make arrangements.

This instructor-led live training in France (available online or onsite) is intended for beginner to intermediate-level supply chain managers and ERP administrators who wish to learn how to utilize 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 France (online or onsite) is designed for SAP power users who wish to acquire the consulting skills needed to implement and configure SAP FICO within an organization.

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

• Install SAP FICO and its related sub-modules.
• Gather business requirements and define the organization's structure.
• Configure the SAP FI and CO modules to manage financial transactions.
• Enhance organizational processes and uncover opportunities for workflow optimization and cost reduction.

This instructor-led live training, available both online and onsite, is designed for end users with no prior SAP experience. It focuses on understanding and operating SAP's Sales Order Processing and Supply Chain Management modules.

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

• Grasp the concepts behind two of SAP's most widely used modules: Sales Order Processing and Supply Chain Management.
• Utilize SAP to unify and streamline the Sales Order Process.
• Understand and apply SAP's Supply Chain Management module to logistic operations within an organization.
• Generate and export reports that provide valuable insights into a company's operations.

Course Format

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

Course Customization Options

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

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

This instructor-led live training, available online or onsite, is designed for advanced robotics engineers, systems integrators, and automation leads looking to implement AI-driven perception, planning, and control in 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 also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Plenty 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.