Edge AI for Manufacturing: Real-Time Intelligence at the Device Level 교육 과정

대한민국에서 진행되는 이 실시간 교육(온라인 또는 현장)은 Edge AI의 최신 발전 사항을 숙지하고 엣지 배포를 위해 AI 모델을 최적화하며 탐구하고자 하는 고급 수준의 AI 실무자, 연구원 및 개발자를 대상으로 합니다. 다양한 산업 분야에 걸쳐 전문화된 애플리케이션을 제공합니다.

이 교육이 끝나면 참가자는 다음을 수행할 수 있습니다.

• Edge AI 모델 개발 및 최적화의 고급 기술을 살펴보세요.
• 엣지 디바이스에 AI 모델을 배포하기 위한 최첨단 전략을 구현하세요.
• 고급 Edge AI 애플리케이션을 위한 전문 도구와 프레임워크를 활용하세요.
• Edge AI 솔루션의 성능과 효율성을 최적화합니다.
• Edge AI의 혁신적인 사용 사례와 새로운 트렌드를 살펴보세요.
• Edge AI 배포 시 고급 윤리 및 보안 고려 사항을 해결합니다.

대한민국에서 진행되는 이 실시간 교육(온라인 또는 현장)은 다양한 애플리케이션을 위해 에지 장치에 AI 모델을 배포하는 데 필요한 실용적인 기술을 얻고자 하는 중급 개발자, 데이터 과학자 및 기술 애호가를 대상으로 합니다.

이 교육이 끝나면 참가자는 다음을 수행할 수 있습니다.

• Edge AI의 원리와 이점을 이해합니다.
• 엣지 컴퓨팅 환경을 설정하고 구성합니다.
• 엣지 배포를 위한 AI 모델을 개발, 교육 및 최적화합니다.
• 엣지 디바이스에 실용적인 AI 솔루션을 구현하세요.
• 엣지 배포 모델의 성능을 평가하고 개선합니다.
• Edge AI 애플리케이션의 윤리적 및 보안 고려 사항을 해결합니다.

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 Supply Chain and Manufacturing Logistics is the application of predictive analytics, machine learning, and automation to optimize inventory, routing, and demand forecasting.

This instructor-led, live training (online or onsite) is aimed at intermediate-level supply chain professionals who wish to apply AI-driven tools to enhance logistics performance, forecast demand accurately, and automate warehouse and transport operations.

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

• Understand how AI is applied across logistics and supply chain activities.
• Use machine learning models for demand forecasting and inventory control.
• Analyze routes and optimize transport using AI-based techniques.
• Automate decision-making in warehouses and fulfillment processes.

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.

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.

대한민국에서 진행되는 이 실시간 교육(온라인 또는 현장)은 설정 및 배포를 포함하여 개념부터 실제 구현까지 Edge AI에 대한 포괄적인 이해를 얻고자 하는 중급 개발자 및 IT 전문가를 대상으로 합니다.

이 교육이 끝나면 참가자는 다음을 수행할 수 있습니다.

• Edge AI의 기본 개념을 이해합니다.
• Edge AI 환경을 설정하고 구성합니다.
• Edge AI 모델을 개발, 교육 및 최적화합니다.
• Edge AI 애플리케이션을 배포하고 관리합니다.
• Edge AI를 기존 시스템 및 워크플로와 통합합니다.
• Edge AI 구현 시 윤리적 고려 사항과 모범 사례를 다룹니다.

대한민국에서 진행되는 이 실시간 교육(온라인 또는 현장)은 혁신적인 의료 솔루션을 위해 Edge AI를 활용하려는 중급 의료 전문가, 생물 의학 엔지니어 및 AI 개발자를 대상으로 합니다.

이 교육이 끝나면 참가자는 다음을 수행할 수 있습니다.

• 의료 분야에서 Edge AI의 역할과 이점을 이해합니다.
• 의료 애플리케이션용 에지 장치에서 AI 모델을 개발하고 배포합니다.
• 웨어러블 장치 및 진단 도구에 Edge AI 솔루션을 구현합니다.
• Edge AI를 사용하여 환자 모니터링 시스템을 설계하고 배포합니다.
• 의료 AI 애플리케이션의 윤리적 및 규제적 고려 사항을 해결합니다.

대한민국에서 진행되는 이 실시간 교육(온라인 또는 현장)은 Edge AI를 활용하여 지능형 데이터 처리 및 분석 기능으로 IoT 애플리케이션을 향상시키려는 중급 개발자, 시스템 설계자 및 업계 전문가를 대상으로 합니다.

이 교육이 끝나면 참가자는 다음을 수행할 수 있습니다.

• Edge AI의 기본 사항과 IoT에서의 적용을 이해합니다.
• IoT 장치를 위한 Edge AI 환경을 설정하고 구성합니다.
• IoT 애플리케이션용 에지 장치에서 AI 모델을 개발하고 배포합니다.
• IoT 시스템에서 실시간 데이터 처리 및 의사결정을 구현합니다.
• Edge AI를 다양한 IoT 프로토콜 및 플랫폼과 통합합니다.
• IoT용 Edge AI의 윤리적 고려 사항과 모범 사례를 다룹니다.

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.

대한민국에서 진행되는 이 실시간 교육(온라인 또는 현장)은 Edge AI의 기본 사항과 입문 애플리케이션을 이해하려는 초급 개발자 및 IT 전문가를 대상으로 합니다.

이 교육이 끝나면 참가자는 다음을 수행할 수 있습니다.

• Edge AI의 기본 개념과 아키텍처를 이해합니다.
• Edge AI 환경을 설정하고 구성합니다.
• 간단한 Edge AI 애플리케이션을 개발하고 배포합니다.
• Edge AI의 사용 사례와 이점을 식별하고 이해합니다.

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.