Amazon Web Services Courses

AWS ML Engineer Associate 3.3 Automate Deployment (한국어)

Dive into MLOps practices and learn to automate ML workflows using AWS services, from CI/CD implementation to model retraining mechanisms and production deployment strategies.

• AWS Skill Builder
• 1 hour 15 minutes
• Self-Paced
• Paid Course

AWS ML Engineer Associate 4.1 Monitor Model Performance and Data Quality (한국어)

Dive into Amazon SageMaker의 모니터링 기능을 활용하여 ML 솔루션의 성능과 안정성을 유지하는 고급 기술을 습득하고, 데이터 드리프트 감지부터 자동화된 문제 해결까지 실전적인 지식을 익힙니다.

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

AWS ML Engineer Associate 2.2 Train Models (한국어)

Dive into Amazon SageMaker의 모델 훈련 프로세스를 마스터하고 컴퓨팅 환경 선택부터 딥러닝 프레임워크 활용까지 실무적인 ML 모델 개발 기술을 습득하세요.

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

AWS ML Engineer Associate 1.2 Transform Data (한국어)

Dive into ML 데이터 변환의 핵심 기술을 습득하고 AWS SageMaker, Data Wrangler, AWS Glue를 활용하여 데이터 정리, 인코딩, 특성 추출 등 실무적인 데이터 처리 역량을 강화하세요.

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

Getting Started with Amazon Textract (Includes Labs) (简体中文)

掌握 Amazon Textract 的核心功能，从扫描文档中自动提取文本和数据，通过实践练习和案例研究提升文档处理能力。

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

Decarbonization with AWS Introduction (한국어)

Discover how to achieve sustainability goals using AWS Customer Carbon Footprint Tool, understand decarbonization benefits, and learn optimal usage practices for reducing carbon footprint in cloud operations.

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

AWS ML Engineer Associate 4.3 Secure AWS ML Resources (한국어)

Master AWS ML 리소스 보안, IAM 정책 구성, SageMaker 보안 기능을 통해 ML 솔루션의 보안 제어를 구현하고 규정 준수 요구사항을 충족하는 방법을 익히세요.

• AWS Skill Builder
• 2 hours 15 minutes
• Self-Paced
• Paid Course

AWS ML Engineer Associate 2.3 Refine Models (한국어)

Dive into ML model refinement techniques, covering bias mitigation, hyperparameter tuning, model versioning, and performance optimization using Amazon SageMaker for enhanced machine learning outcomes.

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

AWS ML Engineer Associate 2.4 Analyze Model Performance (한국어)

Dive into ML 모델 성능 분석과 평가 기법을 배우고 Amazon SageMaker의 다양한 도구를 활용하여 모델 디버깅, 해석 및 실험을 수행하는 방법을 습득합니다.

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

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

Dive into AWS ML 인프라 모니터링과 최적화 기술을 배우고 CloudWatch, X-Ray, QuickSight 등 다양한 도구를 활용하여 성능 지표를 분석하고 비용을 효율적으로 관리하는 방법을 습득하세요.

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

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

Dive into ML model deployment infrastructure on AWS, covering orchestration services, inference strategies, and optimization techniques for production environments and edge devices.

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

Getting Started with Amazon Comprehend (简体中文)

掌握 Amazon Comprehend 自然语言处理服务的核心功能，从文本中提取见解，了解使用案例和最佳实践，并通过动手实践构建自定义分类器和实体识别器。

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Free Certificate

Amazon Q Developer Getting Started (简体中文)

Dive into Amazon Q Developer，掌握这款生成式AI助手的使用方法，从设置到代码优化，快速提升AWS应用程序开发效率。

• AWS Skill Builder
• 1 hour
• Self-Paced
• Free Certificate

Amazon Q Introduction (简体中文)

了解 Amazon Q 这款基于生成式AI的助手如何提升工作效率，掌握其主要功能和应用场景，探索与企业系统的集成方式。

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

Generative BI with Amazon Q in Quicksight - Getting Started (简体中文)

Dive into generative BI capabilities using Amazon Q in QuickSight, mastering natural language queries for data insights and dashboard creation with LLM-powered analytics.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Free Certificate