AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led, live training in Kenya (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 streamline maintenance schedules. This approach shifts maintenance strategies from reactive to proactive, resulting in improved operational uptime, reduced costs, and extended asset life.

This instructor-led live training, available online or on-site, targets intermediate-level professionals looking to deploy AI-led predictive maintenance solutions within industrial settings.

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

• Grasping the distinctions between predictive maintenance and reactive or preventive strategies.
• Gathering and organizing machine data for AI-led analysis.
• Utilizing machine learning models to identify anomalies and forecast failures.
• Executing complete workflows that transform sensor data into actionable insights.

Course Format

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

Course Customization Options

• For tailored training arrangements, please get in touch with us.

AI-driven Process Optimization involves utilizing machine learning and advanced data analytics to boost efficiency, enhance product quality, and increase throughput within manufacturing operations.

This instructor-led live training, available both online and onsite, targets intermediate-level manufacturing professionals eager to apply AI techniques to streamline operations, minimize downtime, and drive continuous improvement.

Upon completing this training, participants will be equipped to:

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

Course Delivery Format

• Interactive lectures coupled with group discussions.
• Ample exercises and practical practice sessions.
• Hands-on implementation exercises within a live laboratory environment.

Customization Options

• For customized training arrangements, please reach out to us to discuss your specific requirements.

Artificial Intelligence for Quality Control leverages computer vision and machine learning methodologies to pinpoint defects, irregularities, and deviations within production workflows.

This instructor-led training, available either online or on-site, is designed for quality professionals at the beginner to intermediate level who aim to utilise AI tools to automate inspection processes and enhance product quality in manufacturing settings.

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

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

Course Format

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

Course Customization Options

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

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

This instructor-led training session, available both online and onsite, is designed for beginner-level decision-makers and technical leads who seek a strategic and practical introduction to leveraging AI in smart factory environments.

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

• Comprehend the fundamental principles of artificial intelligence and machine learning.
• Identify key AI applications in manufacturing and automation sectors.
• Explore how AI facilitates predictive maintenance, quality control, and process optimization.
• Evaluate the necessary steps for initiating AI-driven projects.

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.

AI Use Case Implementation offers a hands-on, project-focused methodology for leveraging machine learning, computer vision, and data analytics to address real-world industrial challenges, utilizing actual or simulated datasets.

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

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

• Identify and define practical AI use cases within operations, quality assurance, or maintenance functions.
• Collaborate effectively across different roles to build machine learning solutions.
• Manage, clean, and analyze varied industrial datasets.
• Demonstrate a functional prototype of an AI-driven solution based on a selected use case.

Course Format

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

Customization Options for the Course

• For tailored training on this course, please reach out to us to make arrangements.

This instructor-led, live training in Kenya (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 replicas of physical systems enhanced by real-time data and AI-driven intelligence.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to build, deploy, and optimize digital twin models using real-time data and AI-based insights.

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

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

Course Delivery Structure

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

Options for Tailoring the Course

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

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) is designed for advanced-level embedded and IoT professionals seeking to implement AI-driven logic and control systems in manufacturing environments where speed, reliability, and offline operation are critical.

By the conclusion 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.

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practical 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.

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 automate 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 implement computer vision systems for defect detection and inspection using AI techniques.

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

• Grasping the architecture and key components of industrial vision systems.
• Developing AI models for visual defect detection using deep learning.
• Integrating real-time inspection pipelines with industrial cameras and devices.
• Deploying and optimizing AI-enabled inspection systems within production environments.

Course Format

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

Customization Options

• For tailored training requests, please contact us to arrange.

The PECB ISO 28000 Lead Implementer training equips you with the essential expertise to assist an organisation 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 best practices for SCSMS and develop the ability to enhance efficiency in managing potential security risks and their impacts on an organisation’s supply chain.

Once you have mastered the necessary concepts of Supply Chain Security Management Systems, you can sit for the examination and apply for the “PECB Certified ISO 28000 Lead Implementer” credential. Holding this PECB Lead Implementer Certificate demonstrates that you possess the practical knowledge and professional capabilities to effectively 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

• Acknowledge 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 the ISO 28000 requirements in the specific context of an organisation
• Learn how to support an organisation to effectively plan, implement, manage, monitor, and maintain an SCSMS
• Acquire the expertise to advise an organisation in implementing Supply Chain Security Management System best practices

Educational approach

• This training is based on both theory and best practices used in the implementation of an SCSMS
• Lecture sessions are illustrated with examples based on case studies
• Practical exercises are based on a case study which includes role playing and discussions
• Practice tests are similar to the Certification Exam

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 of 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 Kenya (online or onsite) is tailored 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 conclusion 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.

For those contemplating a career in procurement or supply chain management, this course is essential. It addresses all fundamental topics and provides the skills necessary to excel in a competitive job market, enabling you to lead your teams more effectively and spearhead cost-saving initiatives.

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

This instructor-led live training, available either 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 settings.

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

• Grasp 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 facilitate real-time decision-making.
• Seamlessly integrate intelligent robotic systems into smart factory workflows.

Course Format

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

Course Customization Options

• To request tailored training for this course, please reach out to us to make the necessary arrangements.