AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led, live training in Serbia (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 predict equipment failures and optimize maintenance schedules. It shifts the focus from reactive maintenance models to proactive strategies, enhancing uptime, reducing costs, and extending asset longevity.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals who aim to implement AI-driven predictive maintenance solutions in industrial settings.

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

• Grasp how predictive maintenance differs from reactive and preventive approaches.
• Gather and organize machine data for AI-driven analysis.
• Utilize machine learning models to identify anomalies and predict equipment failures.
• Develop comprehensive workflows from sensor data collection to actionable insights.

Format of the Course

• Interactive lectures and discussions.
• Practical exercises and case studies.
• Live demonstrations and practical data workflows.

Course Customization Options

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

AI for Process Optimization involves the use of machine learning and data analytics to improve efficiency, quality, and productivity in manufacturing processes.

This instructor-led, live training (available online or on-site) is designed for intermediate-level manufacturing professionals who want to leverage AI techniques to enhance operations, minimize downtime, and support ongoing improvement initiatives.

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

• Grasp AI concepts pertinent to manufacturing optimization.
• Gather and prepare production data for analysis.
• Implement machine learning models to identify bottlenecks and predict failures.
• Visualize and interpret results to inform data-driven decisions.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• 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 involves the application of computer vision and machine learning techniques to detect defects, anomalies, and deviations in production processes.

This instructor-led, live training (available both online and on-site) is designed for quality professionals at beginner to intermediate levels who are interested in leveraging AI tools to automate inspections and enhance product quality in manufacturing settings.

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

• Comprehend how AI is utilized in industrial quality control.
• Gather and label image or sensor data from production lines.
• Utilize machine learning and computer vision to identify defects.
• Create simple AI models for anomaly detection and yield forecasting.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• 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 involves the application of artificial intelligence to automate, monitor, and optimize industrial operations in real-time.

This instructor-led, live training (available online or on-site) is designed for beginner-level decision-makers and technical leads who wish to gain a strategic and practical introduction to leveraging AI in smart factory settings.

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

• Grasp the fundamental principles of AI and machine learning.
• Identify key applications of AI in manufacturing and automation.
• Explore how AI can support predictive maintenance, quality control, and process optimization.
• Assess the steps required to launch AI-driven initiatives.

Format of the Course

• Interactive lectures and discussions.
• 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 practical, project-focused approach to 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 on-site) is designed for intermediate-level cross-functional teams who want to collaboratively implement AI use cases that align with their operational goals and gain hands-on experience working with industrial data pipelines.

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

• Identify and define practical AI use cases from operations, quality, or maintenance areas.
• Collaborate effectively across different roles to develop machine learning solutions.
• Manage, clean, and analyze a variety of industrial datasets.
• Present a functional prototype of an AI-enabled solution based on a chosen use case.

Format of the Course

• Interactive lectures and discussions.
• Group 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 Serbia (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.

This instructor-led, live training in Serbia (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 that are enhanced by real-time data and AI-driven intelligence.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who aim 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:

• Grasp the architecture and components of digital twins.
• Utilize 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 sessions.
• Extensive exercises and practice activities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Edge AI involves deploying artificial intelligence models directly on devices and machines at the network's edge, enabling real-time decision-making with minimal delay.

This instructor-led, live training (available online or onsite) is designed for advanced embedded and IoT professionals who aim to implement AI-powered logic and control systems in manufacturing settings where speed, reliability, and offline operation are crucial.

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

• Grasp the architecture and advantages of edge AI systems.
• Develop and optimize AI models for deployment on embedded devices.
• Utilize 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.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Global Supplier Management is a strategic approach aimed at sourcing goods and services from international markets to enhance competitiveness, reduce costs, and access innovation.

This instructor-led, live training (available online or onsite) is designed for procurement and supply chain professionals ranging from beginner to advanced levels. The goal is to develop and qualify suppliers in China while effectively managing the challenges associated with global sourcing.

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

• Understand the benefits, risks, and challenges inherent in 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 enhance participation and success rates.

Format of the Course

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

Course Customization Options

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

Industrial computer vision with AI is revolutionizing the way manufacturers and quality assurance teams identify surface defects, verify part compliance, and automate visual inspection processes.

This instructor-led, live training (available both online and on-site) is designed for intermediate to advanced QA teams, automation engineers, and developers who want to create and implement computer vision systems for defect detection and inspection using AI techniques.

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

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

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• 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 Serbia (online or onsite) is aimed at beginner-level to intermediate-level supply chain managers and ERP administrators who wish to learn how to use Microsip SCM to manage and improve 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 analyze their supply chain performance and identify improvement opportunities.
• Collaborate and communicate with their suppliers, customers, and partners.

This instructor-led, live training in Serbia (online or onsite) is aimed at managers who wish to streamline an organization's supply chain (inter-departmental and with customers, suppliers, contract manufacturers, logistics service providers, and other partners).

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 on-site) is designed for advanced-level robotics engineers, systems integrators, and automation leaders who aim 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 both 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 lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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