AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led live training in Brazil (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.

Predictive maintenance for industrial systems, powered by artificial intelligence, utilizes machine learning and data analytics to anticipate equipment failures and refine maintenance schedules. This approach shifts organizations from reactive maintenance models to proactive strategies, resulting in improved operational uptime, reduced costs, and extended asset lifespan.

This instructor-led live training, available either online or on-site, is designed for intermediate-level professionals seeking to deploy AI-driven predictive maintenance solutions within industrial settings.

Upon completing this training, participants will be capable of:

• Distinguishing predictive maintenance from reactive and preventive maintenance strategies.
• Collecting and organizing machine data for artificial intelligence analysis.
• Applying machine learning models to identify anomalies and forecast failures.
• Implementing comprehensive workflows that transform sensor data into actionable insights.

Course Format

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

Options for Customizing the Course

AI for Process Optimization involves utilizing machine learning and data analytics to boost efficiency, quality, and throughput within manufacturing operations.

This instructor-led training (available online or onsite) is designed for intermediate-level manufacturing professionals looking to leverage AI techniques to streamline operations, minimize downtime, and drive continuous improvement.

By the conclusion of this training, participants will be capable of:

• Grasping AI concepts pertinent to manufacturing optimization.
• Collecting and preparing production data for analysis.
• Implementing machine learning models to identify bottlenecks and forecast failures.
• Visualizing and interpreting results to facilitate data-driven decision-making.

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

AI for Quality Control involves utilizing computer vision and machine learning methods to identify defects, anomalies, and deviations within production processes.

This instructor-led, live training (available online or onsite) targets beginner to intermediate quality professionals who want to apply AI tools to automate inspections and enhance product quality in manufacturing settings.

Upon completing this training, participants will be capable of:

• Understanding the application of AI in industrial quality control.
• Collecting and labeling image or sensor data from production lines.
• Leveraging machine learning and computer vision to detect defects.
• Developing basic AI models for anomaly detection and yield forecasting.

Course Format

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

Course Customization Options

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

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 online or onsite, is designed for beginner-level decision-makers and technical leads who want 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.
• Recognize key AI use cases in manufacturing and automation.
• Explore how AI facilitates predictive maintenance, quality control, and process optimization.
• Assess 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 arrange customized training for this course, please contact us.

Implementing AI Use Cases employs a practical, project-focused methodology to apply machine learning, computer vision, and data analytics to address real-world industrial challenges, utilizing real or simulated datasets.

This guided, live training session (available online or in-person) targets intermediate-level cross-functional teams looking to collaboratively deploy AI solutions that align with their operational objectives, gaining valuable experience with industrial data pipelines.

Upon completion, participants will be equipped to:

• Identify and define practical AI use cases within operations, quality assurance, or maintenance.
• Collaborate across different roles to build machine learning solutions.
• Manage, clean, and analyze a variety of industrial datasets.
• Develop and present 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

• To request a tailored training version of this course, please get in touch with us to arrange it.

This instructor-led, live training in Brazil (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 are virtual representations of physical systems, augmented by real-time data and AI-powered analytics.

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

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

• Comprehending the architecture and core components of digital twins.
• Utilizing simulation tools to model complex systems and environments.
• Integrating real-time data streams into virtual models.
• Applying AI techniques for predictive behavior analysis and anomaly detection.

Course Format

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

Customization Options

• For a customized training experience, please contact us to arrange.

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

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

Upon completing 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 such as TensorFlow Lite and OpenVINO for low-latency inference.
• Integrate edge intelligence with sensors, actuators, and industrial protocols.

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.

Global Supplier Management is a strategic methodology for procuring goods and services from international markets, designed to boost competitiveness, lower expenses, and leverage innovation.

This instructor-led, live training session (available online or on-site) targets procurement and supply chain professionals ranging from beginner to advanced levels. The program aims to equip participants with the skills to develop and qualify suppliers in China while effectively managing the complexities of global sourcing.

Upon completing this training, participants will be able to:

• Grasp the advantages, risks, and challenges associated with global sourcing.
• Effectively navigate cultural nuances and communication styles when collaborating with Chinese suppliers.
• Identify, qualify, and manage suppliers in China in accordance with international standards.
• Adapt procurement and bidding procedures for foreign suppliers to enhance participation and improve success rates.

Course Format

• Interactive lectures and group discussions.
• Analysis of case studies and real-world examples.
• Practical tools and checklists tailored for supplier management.

Customization Options

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

Industrial computer vision combined with AI is reshaping the way manufacturers and quality assurance teams identify surface flaws, verify part compliance, and automate visual inspection workflows.

This instructor-led, live training (available online or onsite) targets intermediate to advanced-level QA teams, automation engineers, and developers looking to design and implement computer vision systems for defect detection and inspection using AI methodologies.

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

• Grasp the architecture and key components of industrial vision systems.
• Develop AI models for visual defect detection utilizing deep learning.
• 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 practice sessions.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

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

ISO 28000 Lead Implementer training empowers you with the expertise needed to assist an organization in establishing, implementing, managing, and maintaining a Supply Chain Security Management System (SCSMS) based on ISO 28000. Throughout this course, you will gain a deep understanding of Supply Chain Security Management System best practices, enabling you to enhance efficiency in handling potential security risks and their impacts within an organization’s supply chain.

After mastering the essential concepts of Supply Chain Security Management Systems, you may take the exam and apply for the “PECB Certified ISO 28000 Lead Implementer” credential. By obtaining a PECB Lead Implementer Certificate, you demonstrate that you possess the 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 looking to master the implementation of a Supply Chain Security Management System
• Individuals responsible for ensuring 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
• Learn how to support an organization in planning, implementing, managing, monitoring, and maintaining an SCSMS
• Acquire the expertise to advise an organization on implementing Supply Chain Security Management System best practices

Educational approach

• This training combines theory with best practices used in SCSMS implementation
• Lecture sessions are supported by 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 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
• In the event of an exam failure, you may retake the exam within 12 months at no additional cost

This instructor-led, live training in Brazil (online or onsite) is designed for beginner 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.

Upon completing this training, participants will be able to:

• Understand the core concepts and advantages of Microsip SCM and its integration with Microsip ERP.
• Plan, execute, and control supply chain processes using Microsip SCM.
• Monitor and analyze supply chain performance to identify opportunities for improvement.
• Collaborate and communicate effectively with suppliers, customers, and partners.

This instructor-led, live training in Brazil (online or onsite) is designed for managers who aim to streamline their organization's supply chain, fostering seamless collaboration across departments and with external partners like customers, suppliers, contract manufacturers, logistics service providers, and other stakeholders.

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

This instructor-led training (available online or on-site) is designed for advanced robotics engineers, systems integrators, and automation leads who want to implement AI-driven perception, planning, and control within smart manufacturing environments.

Upon completing this training, participants will be able to:

• Comprehend and apply AI techniques for robotic perception and sensor fusion.
• Create motion planning algorithms for both collaborative and industrial robots.
• Implement learning-based control strategies to enable 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 within a live-lab environment.

Customization Options

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