AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led, live training in Mexico (online or onsite) is designed for intermediate to advanced supply chain professionals seeking to enhance demand forecasting accuracy and optimize S&OP processes.

By the conclusion 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. This approach shifts maintenance strategies from reactive to proactive, resulting in improved operational uptime, reduced costs, and extended asset lifespans.

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

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

• Differentiate 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 equipment failures.
• Deploy comprehensive workflows that transform sensor data into actionable insights.

Course Format

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

Customization Options

• To request a customized version of this course, please contact us to arrange.

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

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

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

• Understand AI concepts relevant to manufacturing optimization.
• Collect and prepare production data for analysis.
• Apply machine learning models to identify bottlenecks and predict failures.
• Visualize and interpret results to support data-driven decisions.

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.

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

This instructor-led live training (available online or onsite) is designed for beginner to intermediate-level quality professionals who aim to apply AI tools to automate inspections and enhance product quality in manufacturing settings.

Upon completing this training, participants will be able to:

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

Format of the Course

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

Course Customization Options

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

Artificial intelligence in smart factories involves using AI to automate, monitor, and optimize industrial operations in real time.

This instructor-led live training, available online or on-site, 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 customized training for this course, please contact us to arrange it.

The implementation of AI use cases utilizes a hands-on, project-oriented methodology to apply machine learning, computer vision, and data analytics for addressing real-world industrial challenges through actual or simulated datasets.

This instructor-led, live training (available online or onsite) targets intermediate-level cross-functional teams seeking to collaboratively deploy AI solutions that align with their operational objectives and build experience working with industrial data pipelines.

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

• Identifying and defining practical AI use cases within operations, quality, or maintenance functions.
• Collaborating across various roles to create machine learning solutions.
• Managing, cleaning, and analyzing a variety of industrial datasets.
• Delivering a functional prototype of an AI-driven solution based on a chosen use case.

Course Format

• Interactive lectures and discussions.
• Group exercises and project-based work.
• Practical implementation within a live lab environment.

Customization Options for the Course

• For requests to customize this training, please contact us to arrange.

This instructor-led, live training in Mexico (online or in-person) is aimed at intermediate-level supply chain professionals who wish to receive 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, bolstered by live data feeds and artificial intelligence capabilities.

This guided, live training session (available online or in-person) targets intermediate professionals aiming to create, implement, and refine digital twin models leveraging real-time data and AI-derived insights.

Upon completing this training, participants will be equipped to:

• Grasp the structure and key elements of digital twins.
• Employ simulation software to model intricate systems and environments.
• Embed live data streams into virtual models.
• Utilize AI methods for forecasting behavior and identifying anomalies.

Course Format

• Engaging lectures and discussions.
• Abundant exercises and practical application.
• Practical implementation within a live laboratory setting.

Customization Options

• For tailored training on this topic, please reach out to us to coordinate.

Edge AI involves deploying artificial intelligence models directly onto devices and machines located at the edge of the network, facilitating 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 who aim to implement AI-driven logic and control systems within manufacturing environments 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.

Course Format

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

AI-driven industrial computer vision is revolutionizing the way manufacturers and QA teams identify surface defects, verify part conformity, and automate visual inspection processes.

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

Upon completing this training, participants will be able to:

• Understand the architecture and components of industrial vision systems.
• Build 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.
• 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.

The ISO 28000 Lead Implementer training equips you with the essential expertise to help an organization establish, implement, manage, and maintain 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 SCSMS and learn how to enhance the efficiency of managing potential security risks and their impacts on your organization's supply chain.

Once you have mastered the key concepts of Supply Chain Security Management Systems, you will be eligible to take the exam and apply for the "PECB Certified ISO 28000 Lead Implementer" credential. Earning a PECB Lead Implementer Certificate demonstrates that you possess the practical knowledge and professional skills 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 an SCSMS team

Learning objectives

• Understand the relationship 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
• Gain the ability to support an organization in effectively 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 theory with best practices used in SCSMS implementation
• Lectures are supported by examples from case studies
• Practical exercises are based on a case study involving role-playing and discussions
• Practice tests mirror the format of the Certification Exam

General Information

• Certification fees are included in the exam price
• Training materials, comprising over 450 pages of information and practical examples, will be provided
• A participation certificate awarding 31 CPD (Continuing Professional Development) credits will be issued
• If the exam is not passed on the first attempt, you can retake it within 12 months at no additional cost

This instructor-led, live training in Mexico (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.

This instructor-led, live training in Mexico (online or onsite) is designed for managers aiming to streamline their organization's supply chain, encompassing inter-departmental workflows as well as relationships 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, and autonomous control capabilities.

This instructor-led live training, available online or onsite, targets advanced robotics engineers, systems integrators, and automation leads looking to implement AI-driven perception, planning, and control within smart manufacturing settings.

Upon completing this training, participants will be equipped to:

• Understand and apply AI techniques for robotic perception and sensor fusion.
• Design 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.

Course Format

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

Course Customization Options

• For customized training requests, please contact us to arrange details.