AI for Supply Chain and Manufacturing Logistics Training Course

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

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

• Improve 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 refine maintenance scheduling. This approach shifts organizations from reactive repair models to proactive strategies, resulting in improved operational uptime, reduced costs, and extended asset lifespan.

This instructor-led live training, available online or on-site, is designed for intermediate-level professionals seeking to deploy AI-powered predictive maintenance solutions within industrial settings.

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

• Distinguishing predictive maintenance from reactive and preventive maintenance strategies.
• Gathering and organizing machine data for AI-driven analysis.
• Utilizing machine learning models to identify anomalies and forecast equipment failures.
• Implementing comprehensive workflows that transform raw sensor data into actionable insights.

Course Format

• Interactive lectures and group discussions.
• Practical exercises and real-world case studies.
• Live demonstrations and hands-on data workflow exercises.

Customization Options

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

AI-driven process optimization involves utilizing machine learning and advanced data analytics to boost efficiency, quality, and throughput within manufacturing environments.

This instructor-led training, available either online or onsite, targets intermediate-level manufacturing professionals looking to implement AI strategies to streamline operations, minimize downtime, and foster 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 pinpoint bottlenecks and forecast equipment failures.
• Visualize and interpret outcomes to facilitate data-driven decision-making.

Course Format

• Engaging lectures coupled with interactive discussions.
• Extensive practical exercises and hands-on practice.
• Real-world implementation within a live laboratory setting.

Customization Options

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

AI-driven Quality Control utilizes computer vision and machine learning methodologies to pinpoint defects, irregularities, and deviations within manufacturing workflows.

This instructor-led live training, available both online and onsite, targets beginner to intermediate-level quality professionals eager to implement AI tools for automating inspections and enhancing product quality in manufacturing settings.

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

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

Course Format

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

Course Customization Options

• For personalized training requirements, please reach out to us to arrange a suitable solution.

AI in Smart Factories involves applying 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 to gain a strategic and practical introduction to leveraging AI in smart factory environments.

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

• Grasp 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 follows a hands-on, project-focused methodology to apply machine learning, computer vision, and data analytics for addressing real-world industrial challenges, utilizing authentic or simulated datasets.

This live, instructor-led training (available online or in-person) is designed for intermediate-level, cross-functional teams aiming to collaboratively deploy AI solutions aligned with their operational objectives while gaining practical experience with industrial data pipelines.

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

• Identifying and defining practical AI use cases within operations, quality control, or maintenance.
• Collaborating across different roles to engineer machine learning solutions.
• Managing, cleaning, and analyzing varied industrial datasets.
• Demonstrating a functional prototype of an AI-driven solution based on a chosen use case.

Course Format

• Interactive lectures and discussions.
• Collaborative exercises and group projects.
• Practical implementation within a live laboratory environment.

Customization Options

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

This instructor-led, live training in Turkey (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 serve as virtual replicas of physical systems, enhanced by real-time data inputs and artificial intelligence-driven insights.

This instructor-led live training, available online or onsite, targets intermediate-level professionals seeking to build, deploy, and optimize digital twin models utilizing real-time data and AI-based analytics.

Upon completing this training, participants will gain the ability to:

• comprehend the architecture and key 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 analysis and anomaly detection.

Course Format

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

Customization Options

• For inquiries regarding 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 who aim to implement AI-driven logic and control systems in manufacturing environments where speed, reliability, and offline operation are essential.

Upon completion 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 lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• For a customized training version of this course, please reach out to us to make arrangements.

Global Supplier Management is a strategic methodology for procuring goods and services from international markets to boost competitiveness, lower expenses, and leverage innovation.

This instructor-led live training, available online or onsite, is designed for procurement and supply chain professionals ranging from beginner to advanced levels who aim to develop and vet suppliers in China while effectively handling the complexities of global sourcing.

Upon completing this training, participants will be equipped to:

• Grasp the advantages, risks, and challenges associated with global sourcing.
• Navigate cultural nuances and communication preferences when collaborating with Chinese suppliers.
• Identify, vet, and oversee suppliers in China in accordance with international standards.
• Adapt procurement and bidding procedures for overseas suppliers to boost participation and success rates.

Course Format

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

Customization Options

• To request a customized version of this course, please contact us to arrange it.

AI-driven industrial computer vision is revolutionizing the way manufacturers and quality assurance (QA) teams identify surface defects, ensure part compliance, and automate visual inspection workflows.

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

Upon completing this course, participants will be equipped to:

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

Course Format

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

Customization Options

• To arrange customized training for this course, please reach out to us.

This instructor-led live training in Turkey (online or onsite) is designed for beginner 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 Turkey (online or onsite) is designed for SAP power users who want to acquire the consulting skills necessary to implement and configure SAP FICO within an organization.

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

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

Designed for end users new to SAP, this instructor-led training (available online or on-site) provides a comprehensive overview of SAP's Sales Order Processing and Supply Chain Management modules.

Upon completion, participants will gain the ability to:

• Grasp the core concepts driving two of SAP’s most widely used modules: Sales Order Processing and Supply Chain Management.
• Leverage SAP to integrate and optimize the end-to-end sales order process.
• Apply SAP's Supply Chain Management tools to enhance organizational logistics operations.
• Create and export reports that provide actionable insights into business operations.

Course Format

• Engaging lectures paired with interactive discussions.
• Extensive practical exercises and hands-on practice.
• Live-lab implementation for real-world application.

Customization Options

• For tailored training needs, please reach out to us to schedule a customized session.

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

This instructor-led, live training (available online or onsite) is designed for advanced-level robotics engineers, systems integrators, and automation leads who aim to implement AI-driven perception, planning, and control within 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.