AI for Supply Chain and Manufacturing Logistics Training Course

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

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

• Improve statistical forecast accuracy and reduce demand variability.
• Apply best practices in S&OP for both perishable and non-perishable products.
• Utilize advanced forecasting techniques and data analytics for effective demand planning.
• Enhance cross-functional collaboration between sales, operations, and supply chain teams.
• Leverage digital tools to support better S&OP decision-making.

AI-driven predictive maintenance utilises machine learning and data analytics to anticipate equipment failures and optimise maintenance schedules. It shifts maintenance strategies from reactive to proactive, thereby enhancing uptime, reducing costs, and extending asset lifespan.

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

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

• Comprehending the distinctions between predictive maintenance and reactive or preventive maintenance strategies.
• Collecting and structuring machine data for AI-powered analysis.
• Applying machine learning models to detect anomalies and predict failures.
• Implementing end-to-end workflows that transform sensor data into actionable insights.

Course Format

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

Course Customization Options

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

Utilising Artificial Intelligence for Process Optimisation involves applying machine learning and data analytics techniques to boost efficiency, enhance product quality, and increase throughput within manufacturing environments.

This instructor-led, live training, available either online or onsite, is designed for intermediate-level manufacturing professionals seeking to apply AI strategies to streamline operations, minimise downtime, and foster continuous improvement initiatives.

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

• Grasp AI concepts pertinent to optimising manufacturing processes.
• Gather and prepare production data for analytical purposes.
• Deploy machine learning models to pinpoint bottlenecks and forecast equipment failures.
• Visualise and interpret data insights to facilitate evidence-based decision-making.

Course Format

• Engaging lectures complemented by group discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory setting.

Customisation Options

• To arrange bespoke training for this course, please contact us directly.

AI-driven quality control leverages computer vision and machine learning to detect defects, anomalies, and deviations within production processes.

This instructor-led, live training—available online or onsite—is designed for quality professionals ranging from beginner to intermediate levels who wish to utilise AI tools to automate inspections and enhance product quality in manufacturing settings.

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

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

Course Format

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

Course Customization Options

• For tailored training arrangements for this course, please contact us.

The integration of Artificial Intelligence into Smart Factories involves utilising AI technologies to automate, monitor, and optimise industrial operations in real-time.

This instructor-led live training, available both online and onsite, is designed for beginner-level decision-makers and technical leads seeking a strategic and practical overview of how AI can be leveraged within smart factory environments.

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

• Grasp the fundamental principles of Artificial Intelligence and machine learning.
• Identify key AI applications within manufacturing and automation sectors.
• Examine how AI facilitates predictive maintenance, quality control, and process optimisation.
• Assess the procedures involved in initiating AI-driven projects.

Course Format

• Interactive lectures and group discussions.
• Analysis of real-world case studies and collaborative exercises.
• Strategic frameworks and implementation guidance.

Course Customisation Options

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

This session offers a hands-on, project-based methodology for applying machine learning, computer vision, and data analytics to address tangible industrial challenges using real or simulated datasets.

Delivered by an instructor via live training (either online or in-person), this course targets intermediate-level, cross-functional teams aiming to collaboratively implement AI initiatives 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 across various roles to develop machine learning solutions.
• Manage, clean, and analyse diverse industrial datasets.
• Present a functional prototype of an AI-enabled solution derived from a selected use case.

Course Format

• Interactive lectures and discussions.
• Collaborative exercises and project work in groups.
• Practical implementation within a live laboratory environment.

Customization Options

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

This instructor-led, live training in Botswana (online or on-site) is intended for intermediate-level supply chain professionals who wish to undergo 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 act as virtual copies of physical entities, augmented by live data and AI-powered intelligence.

This trainer-led, live training session (available online or on-site) is designed for intermediate professionals keen on constructing, deploying, and refining digital twin models using live data and AI insights.

Upon completing this training, participants will be capable of:

• Gaining insight into the architecture and components of digital twins.
• Employing simulation tools to model intricate systems and environments.
• Integrating live data streams into virtual models.
• Applying AI techniques for predicting behaviour and identifying anomalies.

Course Format

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

Course Customization Options

• 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, 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.

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

• Grasp the architecture and advantages of edge AI systems.
• Develop 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 lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation within a live-lab 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.

Artificial intelligence is revolutionising industrial computer vision, enabling manufacturers and quality assurance teams to detect surface imperfections, verify part conformity, and automate visual inspection workflows with greater efficiency.

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

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

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

Course Format

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

Customisation Options

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

The ISO 28000 Lead Implementer training empowers you to acquire the essential expertise needed to assist an organisation in establishing, implementing, managing, and maintaining a Supply Chain Security Management System (SCSMS) founded on ISO 28000. Throughout this course, you will develop a comprehensive understanding of Supply Chain Security Management Systems best practices, enabling you to enhance efficiency in managing potential security risks and their impacts on an organisation’s supply chain.

Upon mastering the key 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 that you possess the practical knowledge and professional capabilities required 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 is grounded in both theory and best practices utilised in the implementation of an SCSMS
• Lecture sessions are illustrated with examples derived from case studies
• Practical exercises are based on a case study that includes 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
• In the event of exam failure, you may retake the exam within 12 months at no additional cost

This instructor-led live training in Botswana (online or on-site) targets beginner to intermediate-level supply chain managers and ERP administrators who wish to learn how to utilise 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 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 analyse their supply chain performance and identify improvement opportunities.
• Collaborate and communicate with their suppliers, customers, and partners.

If you are contemplating a career in procurement or supply chain management, this course is indispensable. It addresses all critical subjects and equips you with the skills necessary to excel in a competitive job market, empowering 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 training (available online or onsite) is designed for advanced-level 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.