AI for Supply Chain and Manufacturing Logistics Training Course

AI-powered predictive maintenance applies machine learning and data analytics to forecast equipment failures and optimize maintenance schedules. It transforms reactive maintenance models into proactive strategies, enabling better uptime, cost reduction, and asset longevity.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to implement AI-driven predictive maintenance solutions in industrial environments.

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

• Understand how predictive maintenance differs from reactive and preventive maintenance strategies.
• Collect and structure machine data for AI-powered analysis.
• Apply machine learning models to detect anomalies and predict failures.
• Implement end-to-end workflows from sensor data to actionable insights.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises and case studies.
• Live demonstration and practical data workflows.

Course Customization Options

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

AI for Process Optimization is the application of machine learning and data analytics to enhance efficiency, quality, and throughput in manufacturing operations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level manufacturing professionals who wish to apply AI techniques to streamline operations, reduce downtime, and support continuous improvement initiatives.

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

• Understand AI concepts relevant to manufacturing optimization.
• Collect and prepare production data for analysis.
• Apply machine learning models to identify bottlenecks and predict failures.
• Visualize and interpret results to support data-driven decisions.

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.

AI for Quality Control is the use of computer vision and machine learning techniques to identify defects, anomalies, and deviations in production processes.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level quality professionals who wish to apply AI tools to automate inspections and improve product quality in manufacturing environments.

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

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

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.

AI in Smart Factories is the application of artificial intelligence to automate, monitor, and optimize industrial operations in real time.

This instructor-led, live training (online or onsite) is aimed at beginner-level decision-makers and technical leads who wish to gain a strategic and practical introduction to how AI can be leveraged 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.

AI Use Case Implementation is a hands-on, project-driven approach to applying machine learning, computer vision, and data analytics to solve real-world industrial challenges using actual or simulated datasets.

This instructor-led, live training (online or onsite) is aimed at intermediate-level cross-functional teams who wish to collaboratively implement AI use cases aligned with their operational goals and gain experience working with industrial data pipelines.

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

• Select and scope practical AI use cases from operations, quality, or maintenance.
• Work collaboratively across roles to develop machine learning solutions.
• Handle, clean, and analyze diverse industrial datasets.
• Present a working prototype of an AI-enabled solution based on a selected use case.

Format of the Course

• Interactive lecture and discussion.
• Group-based exercises and project work.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Uzbekistan (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 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.

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.

Edge AI is the deployment of artificial intelligence models directly on devices and machines at the edge of the network, enabling real-time decision-making with minimal latency.

This instructor-led, live training (online or onsite) is aimed at advanced-level embedded and IoT professionals who wish to deploy AI-powered 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:

• Understand the architecture and benefits of edge AI systems.
• Build and optimize AI models for deployment on embedded devices.
• Use tools like 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.
• 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.

Industrial computer vision with AI is transforming how manufacturers and QA teams detect surface defects, verify part conformity, and automate visual inspection processes.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level QA teams, automation engineers, and developers who wish to design and implement computer vision systems for defect detection and inspection using AI techniques.

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

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

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.

ISO 28000 Lead Implementer training enables you to develop the necessary expertise to support an organization in establishing, implementing, managing and maintaining a Supply Chain Security Management System (SCSMS) based on ISO 28000. During this training course, you will also gain a thorough understanding of the best practices of Supply Chain Security Management Systems and be able to improve efficiency in managing potential security risks and their impacts in an organization`s supply chain. 

After mastering all the necessary concepts of Supply Chain Security Management Systems, you can sit for the exam and apply for a “PECB Certified ISO 28000 Lead Implementer” credential. By holding a PECB Lead Implementer Certificate, you will demonstrate that you have the practical knowledge and professional capabilities to implement ISO 28000 in an organization.

 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 a SCSMS
• Learn how to interpret the ISO 28000 requirements in the specific context of an organization
• Learn how to support an organization to effectively plan, implement, manage, monitor and maintain a SCSMS
• Acquire the expertise to advise an organization 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 a 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 on 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 Uzbekistan (online or onsite) is aimed at SAP power users who wish to learn the consulting skills to implement and configure SAP FICO within an organization.

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

• Install SAP FICO and related sub-modules.
• Gather business requirements and define an organization's structure.
• Configure SAP FI and CO modules to manage the financial transactions within an organization.
• Improve an organization's processes and uncover opportunities for optimizing workflow and reducing costs.

This instructor-led, live training (online or onsite) is aimed at end users with no previous SAP experience and focuses on understanding and operating SAP's Sales Order Processing and Supply Chain Management modules.

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

• Understand the concepts behind two of SAP's most popular modules: Sales Order Processing and Supply Chain Management.
• Use SAP to unify and streamline the Sales Order Process.
• Understand and apply SAP's Supply Chain Management module to logistic operations within an organization.
• Generate and export reports that can be used to gain valuable insights into a company's operations.

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.

SCM (Supply Chain Management) refers to the control of activities involved in taking goods and materials from supplier to consumer.

In this instructor-led, live training, participants will learn the fundamentals of SCM as they apply to the China market. This training is aimed at managers who wish to enter the Chinese market. It includes a series of discussions, case studies and exercises to help participants prepare for real-world implementation and practice.

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

• Understand the dynamics of SCM in China vs SCM in other countries
• Take advantage of China-specific innovations in the supply chain to develop an SCM strategy
• Implement an integrated end-to-end approach to SCM
• Negotiate on price with local suppliers
• Identify key global sourcers and other players in the China supply chain
• Conduct a detailed analysis of common business sourcing problems in China

Audience

• Sourcing Managers
• Persons involved in the SCM process

Format of the course

• Part lecture, part discussion, exercises and hands-on practice

Smart Robotics is the integration of artificial intelligence into robotic systems for improved perception, decision-making, and autonomous control.

This instructor-led, live training (online or onsite) is aimed at 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.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at supply managers and personnel who wish to adopt a quality-centric approach to managing suppliers.

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

• Adopt a proactive and collaborative approach for enhancing supplier quality.
• Clearly define and communicate supply specifications and requirements.
• Explore different Supplier Quality Management Systems (QMS) and apply an analytical approach to choose the most suitable one.
• Use a QMS system to continuously monitor, inspect and audit supply chains.
• Ensure that suppliers provide the highest quality products and services.