AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led, live training in Portugal (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-driven predictive maintenance leverages 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 equipment uptime, reduced costs, and extended asset lifespan.

This instructor-led live training, available online or onsite, is designed for intermediate-level professionals looking to deploy AI-powered predictive maintenance solutions within industrial settings.

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

• Distinguish predictive maintenance from reactive and preventive maintenance strategies.
• Gather and structure machine data for AI-based analysis.
• Utilize machine learning models to identify anomalies and forecast failures.
• Deploy end-to-end 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 workflows.

Customization Options

• To arrange customized training for this course, please get in touch with us.

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

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

Upon completion, participants will be able to:

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

Course Format

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

Customization Options

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

AI-driven 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 quality professionals at beginner to intermediate levels who aim to utilize AI tools to automate inspections and enhance product quality in manufacturing settings.

Upon completing this training, participants will be equipped to:

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

Format of the Course

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

Course Customization Options

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

AI in Smart Factories involves applying 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 seeking a strategic and practical introduction to leveraging AI in smart factory environments.

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

• Grasp the core principles of AI and machine learning.
• Identify key AI use cases in manufacturing and automation.
• Explore how AI supports predictive maintenance, quality control, and process optimization.
• Evaluate the steps involved in launching AI-driven initiatives.

Format of the Course

• Interactive lecture and discussion.
• 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.

Implementing AI Use Cases follows a hands-on, project-oriented methodology to apply machine learning, computer vision, and data analytics to resolve real-world industrial challenges, utilizing either real or simulated datasets.

This instructor-led live training, available either online or on-site, targets intermediate-level cross-functional teams aiming to collaboratively deploy AI use cases that align with their operational objectives and to gain practical experience with industrial data pipelines.

Upon completing this training, participants will be capable of:

• Identifying and defining practical AI use cases within operations, quality control, or maintenance.
• Collaborating across different roles to create machine learning solutions.
• Managing, cleansing, and analyzing varied industrial datasets.
• Presenting a functional prototype of an AI-driven solution based on a chosen use case.

Course Format

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

Course Customization Options

• For those seeking customized training for this course, please contact us to arrange your requirements.

This instructor-led, live training in Portugal (online or onsite) targets intermediate-level supply chain professionals seeking comprehensive preparation for the Certified Supply Chain Professional (CSCP) exam.

Upon completing this training, participants will be equipped to:

• Acquire a thorough understanding of all critical domains within supply chain management, spanning from demand forecasting through to logistics and distribution.
• Prepare effectively for the CSCP exam using focused study resources, practice tests, and review sessions.
• Implement supply chain management principles and best practices in practical scenarios, thereby enhancing operational efficiency and effectiveness.
• Identify, assess, and mitigate supply chain risks to safeguard business continuity and resilience.
• Oversee global supply chains, including handling international logistics, regulatory hurdles, and cultural nuances.

This instructor-led, live training in Portugal (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 copies of physical assets, enriched with real-time information and intelligence powered by AI.

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

Upon completing this training, participants will be able to:

• Comprehend the architecture and key components of digital twins.
• Utilise simulation tools to model complex systems and environments.
• Integrate real-time data streams into virtual models.
• Apply AI techniques for predictive behaviour and anomaly detection.

Course Format

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

Customization Options

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

Edge AI involves deploying artificial intelligence models directly onto 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-level embedded and IoT professionals seeking to implement AI-driven logic and control systems in manufacturing settings where speed, reliability, and offline capability are paramount.

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

• Grasp the architecture and advantages of edge AI systems.
• Construct and optimise AI models for deployment on embedded devices.
• Utilise 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 practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

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

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.

Artificial intelligence-powered industrial computer vision is revolutionizing the way manufacturers and quality assurance teams identify surface defects, verify part compliance, and streamline visual inspection workflows.

This instructor-led live training, available online or onsite, targets intermediate to advanced quality assurance teams, automation engineers, and developers eager to design and deploy 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 core components of industrial vision systems.
• Develop AI models for visual defect detection utilizing deep learning techniques.
• 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.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request a tailored training course, please contact us to make arrangements.

Enrolment in the ISO 28000 Lead Implementer training equips you with the essential expertise to assist organisations in establishing, implementing, managing, and maintaining a Supply Chain Security Management System (SCSMS) aligned with ISO 28000. Throughout this course, you will gain a comprehensive understanding of SCSMS best practices and learn how to enhance the efficiency of managing potential security risks and their impacts within an organisation’s supply chain.

Upon mastering the necessary concepts of Supply Chain Security Management Systems, you may sit for the examination and apply for the “PECB Certified ISO 28000 Lead Implementer” credential. Holding a PECB Lead Implementer Certificate demonstrates your practical knowledge and professional capability to implement ISO 28000 within an organisation.

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 maintaining conformance with SCSMS requirements
• SCSMS team members

Learning objectives

• Recognise 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 an SCSMS
• Learn how to interpret ISO 28000 requirements within the specific context of an organisation
• Learn how to support an organisation in effectively planning, implementing, managing, monitoring, and maintaining an SCSMS
• Acquire the expertise to advise an organisation on implementing Supply Chain Security Management System best practices

Educational approach

• This training is grounded in both theory and best practices used in SCSMS implementation
• Lecture sessions are illustrated with 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 material, comprising over 450 pages of information and practical examples, will be distributed
• 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 Portugal (online or onsite) is designed for beginner to intermediate-level supply chain managers and ERP administrators who wish to learn how to utilise 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 supply chain processes using Microsip SCM.
• Monitor and analyse supply chain performance to identify improvement opportunities.
• Collaborate and communicate with suppliers, customers, and partners.

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

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

Upon completing 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.
• Extensive 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.