AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led, live training in Vietnam (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 optimize maintenance scheduling. This approach shifts organizations from reactive maintenance models to proactive strategies, resulting in improved uptime, reduced costs, and extended asset lifespan.

This instructor-led live training (available online or onsite) is designed for intermediate-level professionals aiming to deploy AI-powered predictive maintenance solutions within industrial settings.

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

• Distinguish predictive maintenance from reactive and preventive maintenance strategies.
• Gather and organize machine data for AI analysis.
• Utilize machine learning models to identify anomalies and forecast failures.
• Establish end-to-end workflows that convert sensor data into actionable insights.

Course Format

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

Customization Options

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

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

This instructor-led training session (available online or on-site) targets intermediate-level manufacturing professionals seeking to apply AI techniques to streamline operations, minimize downtime, and facilitate continuous improvement efforts.

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

• Grasping core AI concepts pertinent to manufacturing optimization.
• Gathering and preparing production data for analysis.
• Utilizing machine learning models to pinpoint bottlenecks and forecast failures.
• Visualizing and interpreting findings to enable data-driven decision-making.

Course Format

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

Customization Options

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

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

This instructor-led live training (available online or onsite) targets beginner to intermediate quality professionals seeking to utilize AI tools for automating inspections and enhancing product quality in manufacturing settings.

Upon completion of this training, participants will be able 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 techniques to identify defects.
• Create basic AI models for anomaly detection and yield forecasting.

Course Format

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

Customization Options

• For customized training arrangements, please contact us directly.

AI integration in smart factories involves applying artificial intelligence to automate, monitor, and optimize industrial processes in real time.

This instructor-led training (available online or onsite) is designed for beginner-level decision-makers and technical leaders seeking a strategic and practical overview of leveraging AI within smart factory environments.

Upon completion, participants will be able to:

• Grasp the fundamental concepts of AI and machine learning.
• Recognize key AI applications in manufacturing and automation.
• Explore how AI facilitates predictive maintenance, quality control, and process optimization.
• Assess the necessary steps for initiating AI-driven projects.

Course Format

• Interactive lectures and discussions.
• Real-world case studies and collaborative exercises.
• Strategic frameworks and implementation guidance.

Customization Options

• For customized training arrangements, please contact us directly.

Implementing AI Use Cases is a hands-on, project-based methodology for applying machine learning, computer vision, and data analytics to address real-world industrial challenges, utilizing either actual or simulated datasets.

This instructor-led training, available online or on-site, targets intermediate-level cross-functional teams seeking 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 able to:

• Identify and define practical AI use cases in operations, quality assurance, or maintenance.
• Collaborate across diverse roles to engineer machine learning solutions.
• Manage, clean, and analyze various types of industrial datasets.
• Demonstrate a functional prototype of an AI-enabled solution based on a chosen use case.

Course Format

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

Customization Options

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

This instructor-led, live training in Vietnam (online or onsite) targets intermediate-level supply chain professionals seeking comprehensive preparation for the Certified Supply Chain Professional (CSCP) exam.

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

• Gaining a deep understanding of essential supply chain management domains, ranging from demand forecasting to logistics and distribution.
• Preparing effectively for the CSCP exam through focused study resources, practice tests, and review sessions.
• Applying supply chain management principles and best practices to real-world situations, thereby enhancing operational efficiency and effectiveness.
• Identifying, assessing, and mitigating supply chain risks to ensure business continuity and resilience.
• Managing global supply chains, including handling international logistics, regulatory hurdles, and cultural differences.

Digital Twins serve as virtual mirrors of physical assets, powered by real-time data streams and artificial intelligence capabilities.

This guided training session, available both online and at your location, targets mid-career professionals seeking to construct, launch, and refine digital twin models utilizing live data and AI-driven insights.

Upon completing this course, learners will be equipped to:

• Grasp the fundamental structure and key elements of digital twins.
• Utilize simulation software to represent intricate systems and surroundings.
• Merge live data feeds directly into virtual representations.
• Employ AI methodologies for forecasting behavior and identifying anomalies.

Course Format

• Engaging lectures paired with interactive discussions.
• Extensive practical exercises and drills.
• Direct implementation work within a live laboratory setting.

Customization Options

• To arrange personalized training for this topic, please get in touch with us.

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 settings where speed, reliability, and offline operation are crucial.

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

• Comprehend the architecture and advantages of edge AI systems.
• Construct and optimize AI models for deployment on embedded devices.
• Utilize tools such as TensorFlow Lite and OpenVINO to achieve low-latency inference.
• Integrate edge intelligence with sensors, actuators, and industrial protocols.

Course Format

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

Course Customization Options

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

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 both online and 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 managing the complexities of global sourcing.

Upon completing this training, participants will be equipped to:

• Comprehend the advantages, risks, and challenges associated with global sourcing.
• Navigate cultural nuances and communication preferences when collaborating with Chinese suppliers.
• Identify, qualify, and oversee suppliers in China in accordance with international standards.
• Tailor procurement and bidding procedures for foreign suppliers to enhance participation and improve 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 training session for this course, please contact us to arrange details.

The integration of Artificial Intelligence into industrial computer vision is revolutionizing the way manufacturers and quality assurance (QA) teams identify surface defects, verify part compliance, and automate visual inspection workflows.

This instructor-led live training, available either online or on-site, is designed for intermediate to advanced QA professionals, automation engineers, and developers seeking to design and implement computer vision systems for defect detection and inspection utilizing AI techniques.

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

• Comprehend the architecture and key components of industrial vision systems.
• Construct AI models for visual defect detection employing deep learning methodologies.
• Seamlessly integrate real-time inspection pipelines with industrial cameras and hardware.
• Deploy and optimize AI-driven inspection systems within production environments.

Course Format

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

Customization Options

• For customized training arrangements, please contact us directly.

This instructor-led live training in Vietnam (online or onsite) is tailored for beginner to intermediate-level supply chain managers and ERP administrators seeking to learn how to utilize 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 Vietnam (online or onsite) is designed for experienced SAP users who wish to acquire the consulting skills needed 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 financial transactions within an organization.
• Improve organizational processes and uncover opportunities for optimizing workflow and reducing costs.

This instructor-led live training, available both online and onsite, is designed for end users with no prior SAP experience. The program focuses on helping participants understand and operate SAP's modules for Sales Order Processing and Supply Chain Management.

Upon completing this training, participants will be able to:

• Grasp the core concepts behind two of SAP’s most widely used modules: Sales Order Processing and Supply Chain Management.
• Utilize SAP tools to unify and streamline the sales order process.
• Comprehend and apply SAP's Supply Chain Management module to organizational logistics operations.
• Create and export reports that provide valuable insights into company operations.

Course Format

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

Course Customization Options

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

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

This instructor-led live training (available online or onsite) targets advanced robotics engineers, systems integrators, and automation leads who aim to implement AI-driven perception, planning, and control solutions within smart manufacturing environments.

Upon completion of this training, participants will be equipped 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 to enable real-time decision-making.
• Integrate intelligent robotic systems into smart factory workflows.

Course Format

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

Customization Options

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