Korean Courses

Amazon Web Services;  Amazon

AWS ML Engineer Associate 4.2 Monitor and Optimize Infrastructure and Costs (Korean)

ML 인프라 모니터링 및 최적화 기술 습득. CloudWatch, X-Ray 등 도구로 성능 지표 분석. 비용 관리 도구 활용해 ML 솔루션 효율성 향상. SageMaker Inference Recommender로 인스턴스 최적화.

• AWS Skill Builder
• 2 hours 30 minutes
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS ML Engineer Associate 3.1 Select a Deployment Infrastructure (Korean)

ML 파이프라인의 모델 배포 인프라를 선택하고 최적화하는 방법을 학습합니다. 워크플로 오케스트레이션, 추론 전략, 컴퓨팅 리소스 및 엣지 배포에 대해 알아봅니다.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course

PCS Institute for Basic Science

Topological Spin Textures via Twist Engineering

Explore twisted van der Waals magnets' potential for hosting topological spin textures. Discover magnetic skyrmions and vortex-type merons through twist engineering in easy-axis and easy-plane systems.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

PCS Institute for Basic Science

Fine-Grained Complexities in Parameterized Quantum Circuits

Explore fine-grained complexities in parameterized quantum circuits, examining randomness measures, anticoncentration, and barren plateaus. Gain insights into quantum system behavior and circuit design.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.1 Choose a Modeling Approach (Korean)

AWS ML 스택과 서비스를 활용하여 비즈니스 문제 해결. SageMaker, JumpStart, Bedrock 등 ML 솔루션 선택 및 최적화 전략 학습. 모델 선택 시 해석 가능성 고려.

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS ML Engineer Associate 3.2 Create and Script Infrastructure (Korean)

ML 솔루션을 위한 인프라 구축 및 스크립팅 방법 학습. IaC, AWS CDK, CloudFormation, SageMaker SDK 활용. 컨테이너화 및 오토스케일링 전략 탐구.

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS ML Engineer Associate Curriculum Overview (Korean)

ML 기본 사항부터 Amazon SageMaker를 활용한 모델 구축까지 AWS ML 엔지니어 어소시에이트 과정의 핵심 내용을 학습하고 실무에 적용할 수 있는 지식 습득.

• AWS Skill Builder
• 45 minutes
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

AWS ML Engineer Associate 1.3 Validate Data and Prepare for Modeling (Korean)

기계 학습 데이터 준비의 핵심 단계를 마스터하세요. 데이터 검증, 편향 완화, 보안 전략을 학습하고 AWS 도구를 활용하여 모델 훈련을 위한 데이터를 최적화하는 방법을 익히세요.

• AWS Skill Builder
• 45 minutes
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS ML Engineer Associate 1.1 Collect, Ingest, and Store Data (Korean)

ML 수명 주기의 데이터 준비 단계를 탐구하며 AWS 스토리지 서비스, 데이터 수집, 추출, 병합 방법을 학습합니다. 효과적인 데이터 관리와 ML 프로세스 최적화 방법을 습득하세요.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS ML Engineer Associate Curriculum Conclusion (Korean)

AWS ML 엔지니어 과정을 마무리하고 다음 단계를 안내합니다. 학습 내용을 복습하고 추가 리소스를 탐색하여 기계 학습 엔지니어링 기술을 향상시키세요.

• AWS Skill Builder
• 10 minutes
• Self-Paced
• Paid Course

OpenInfra Foundation

KT Cloud and Backend.AI - Building an AI Train Open Cloud Platform

Discover how KT Cloud and Backend.AI's collaboration creates a powerful open platform that accelerates AI development with efficient resource management and streamlined deployment processes.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

OpenInfra Foundation

Internal Developer Platform for Application DevOps in Samsung Semiconductor Division

Discover how Samsung Electronics' Device Solutions division implements an Internal Developer Platform to support diverse DevOps needs across citizen developers, professionals, and operators in a closed network environment.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

OpenInfra Foundation

KT Cloud's Journey to Providing Managed Services - From DBaaS to PaaS

Explore KT Cloud's evolution in managed services, focusing on DBaaS implementation, PaaS platform expansion, and cloud-native architecture utilizing cache, message queuing, and database services.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

OpenInfra Foundation

Storage JuiceFS Appliances for AI Platforms - Building Cost-Effective Storage Solutions

Discover how JuiceFS provides cost-effective storage solutions for AI platforms, enabling distributed learning and LLM implementation while meeting the demanding requirements of AI workloads in Kubernetes environments.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

SK AI SUMMIT 2024

5G Evolution and 6G Technologies

Delve into 5G evolution and future 6G technologies with NTT DOCOMO's Chief Standardization Officer, exploring advanced radio networks, standardization efforts, and inter-industry collaborations for next-gen communications.

• YouTube
• 22 minutes
• Self-Paced
• Free Video