AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led, live training in Nigeria (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-powered predictive maintenance leverages machine learning and data analytics to anticipate equipment failures and optimize maintenance schedules. It shifts organizations from reactive maintenance models to proactive strategies, resulting in improved uptime, reduced costs, and extended asset lifespan.

This instructor-led live training (available online or onsite) is designed for intermediate-level professionals seeking to implement AI-driven predictive maintenance solutions within industrial environments.

Upon completing this training, participants will be able to:

• Distinguish 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 predict failures.
• Implement end-to-end workflows transforming sensor data into actionable insights.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises and case studies.
• Live demonstrations and practical data workflows.

Customization Options

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

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

This instructor-led live training, available both online and onsite, is designed for intermediate-level manufacturing professionals aiming to utilize AI techniques to streamline operations, minimize downtime, and foster continuous improvement initiatives.

Upon completing this training, participants will be able to:

• Grasp AI concepts pertinent to manufacturing optimization.
• Gather and prepare production data for analysis.
• Deploy machine learning models to pinpoint bottlenecks and predict potential 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 laboratory environment.

Customization Options for the Course

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

AI-driven quality control involves applying computer vision and machine learning to detect defects, anomalies, and deviations within production workflows.

This instructor-led training, available either online or onsite, is designed for beginner to intermediate quality professionals seeking to utilize AI tools for automating inspections and enhancing product quality in manufacturing settings.

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

• Grasp the application of AI in industrial quality control.
• Gather and annotate image or sensor data from manufacturing lines.
• Employ machine learning and computer vision techniques to identify defects.
• Construct basic AI models for anomaly detection and yield forecasting.

Course Format

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

Customization Options

• For tailored training requests, please reach out to us to make arrangements.

AI in Smart Factories involves using 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 who want a strategic and practical introduction to leveraging AI in smart factory environments.

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

• Understand 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 is a hands-on, project-based methodology for applying machine learning, computer vision, and data analytics to address real-world industrial challenges using actual or simulated datasets.

This instructor-led, live training (available online or onsite) is designed for intermediate-level cross-functional teams who want to collaboratively deploy AI solutions aligned with their operational goals and gain practical experience with industrial data pipelines.

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

• Identify and scope practical AI applications within operations, quality, or maintenance.
• Collaborate across different roles to build machine learning solutions.
• Manage, clean, and analyse diverse industrial datasets.
• Present a functional prototype of an AI-enabled solution based on a chosen application.

Course Format

• Interactive lectures and discussions.
• Group exercises and project work.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This live, instructor-led training in Nigeria (online or on-site) is aimed at 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:

• Develop a deep understanding of all critical aspects of supply chain management, spanning from demand forecasting to logistics and distribution.
• Prepare effectively for the CSCP exam using targeted study materials, practice tests, and review sessions.
• Apply supply chain management principles and best practices to real-world situations, thereby enhancing operational efficiency and effectiveness.
• 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 representations of physical systems, augmented by live data and artificial intelligence-driven insights.

This trainer-led course, available either online or in-person, is designed for mid-level professionals looking to construct, implement, and refine digital twin models leveraging real-time data and AI-based analytics.

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

• Grasping the structure and key elements of digital twins.
• Utilising simulation software to represent complex systems and environments.
• Merging live data feeds into virtual models.
• Applying AI methods for predicting outcomes and identifying anomalies.

Course Format

• Engaging lectures and group discussions.
• Numerous exercises and practical sessions.
• Practical implementation within a live-lab setting.

Customisation Options

• For tailored training requests, please reach out to us to make arrangements.

Edge AI involves deploying artificial intelligence models directly onto devices and machinery 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 looking 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 capable of:

• Grasp the architecture and advantages of edge AI systems.
• Construct and refine AI models for deployment on embedded devices.
• Utilize tools such as TensorFlow Lite and OpenVINO for low-latency inference.
• Merge 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 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 boost competitiveness, cut costs, and tap into innovation.

This instructor-led, live training (available online or onsite) targets procurement and supply chain professionals ranging from beginner to advanced levels who want to develop and qualify suppliers in China while effectively managing the complexities of global sourcing.

Upon completing this training, participants will be able to:

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

Format of the Course

• Interactive lectures and discussions.
• Case studies and real-world examples.
• Practical tools and checklists for supplier management.

Course Customization Options

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

The integration of AI into industrial computer vision is reshaping how manufacturers and quality assurance teams identify surface defects, verify part conformity, and automate visual inspection processes.

This instructor-led live training, available both online and onsite, targets intermediate to advanced-level QA teams, automation engineers, and developers who aim to design and deploy computer vision systems for defect detection and inspection using AI techniques.

Upon completing this training, participants will be equipped to:

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

Course Format

• Interactive lectures and discussions.
• Extensive 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 it.

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) based on ISO 28000. Throughout this course, you will gain a comprehensive understanding of SCSMS best practices and learn how to enhance efficiency in managing potential security risks and their impacts within an organisation’s supply chain.

Upon mastering all necessary SCSMS concepts, 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 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

• 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 combines theory with best practices used in the implementation of an SCSMS
• 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 Certification Exam format

General Information

• Certification fees are included in the exam price
• Training material containing 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 case of exam failure, you can retake the exam within 12 months for free

This instructor-led live training in Nigeria (online or onsite) is designed for beginner to intermediate-level supply chain managers and ERP administrators who want 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 principles and benefits 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.

If you are thinking about a career in procurement or supply chain management, this course is essential. It covers all critical topics and equips you with the skills to excel in a competitive job market, enabling you to lead your team more effectively and spearhead cost-saving initiatives.

Smart Robotics involves 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) targets advanced robotics engineers, systems integrators, and automation leads who wish to implement AI-driven perception, planning, and control in smart manufacturing environments.

By the end 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.