Amazon Web Services Courses

Decarbonization with AWS Introduction (简体中文)

了解如何利用AWS客户碳足迹工具和资源来实现企业可持续发展目标，掌握Well-Architected Framework方法推动脱碳进程的关键策略。

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

AWS ML Engineer Associate 3.3 Automate Deployment (简体中文)

Master MLOps practices and automate ML workflows using AWS services, from CI/CD pipeline implementation to model deployment and retraining mechanisms for production environments.

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

AWS ML Engineer Associate Curriculum Overview (简体中文)

Dive into machine learning fundamentals, exploring ML lifecycle, business objectives, and Amazon SageMaker for building, training, and deploying ML models with AWS services. Includes hands-on exercises and knowledge assessments.

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

AWS ML Engineer Associate 3.1 Select a Deployment Infrastructure (简体中文)

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

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

Getting Started with Amazon Comprehend (한국어)

Discover Amazon Comprehend의 자연어 처리 기능을 통해 텍스트에서 가치 있는 인사이트를 추출하고 실제 구현 방법을 학습하며 AWS 환경에서 맞춤형 NLP 솔루션을 구축하는 방법을 습득합니다.

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

AWS ML Engineer Associate 4.1 Monitor Model Performance and Data Quality (Japanese) 日本語吹き替え版

Dive into SageMaker のモニタリング機能を使用して、ML ソリューションのパフォーマンスと信頼性を維持する方法を習得。データドリフト、モデル品質、バイアス検出、継続的モニタリングの実践的スキルを獲得。

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

AWS ML Engineer Associate 3.2 Create and Script Infrastructure (简体中文)

Dive into AWS ML infrastructure creation, focusing on IaC, CloudFormation, CDK, containerization, and SageMaker SDK for scalable and cost-effective machine learning solutions deployment.

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

Digital Classroom - Security Engineering on AWS (한국어)

Dive into AWS 클라우드 보안의 핵심 요소를 배우고 IAM, 계정 관리, 데이터 보호, 로깅, 모니터링 및 위협 대응에 대한 실무적인 보안 엔지니어링 기술을 습득하세요.

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

AWS ML Engineer Associate 3.3 Automate Deployment (Japanese) 日本語吹き替え版

Master MLOps と CI/CD パイプラインの実装方法を学び、AWS SageMaker での機械学習ワークフローの自動化、モデルの再トレーニング、本番環境への統合について実践的なスキルを習得します。

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

AWS ML Engineer Associate 4.2 Monitor and Optimize Infrastructure and Costs (Japanese) 日本語吹き替え版

MLインフラストラクチャのモニタリングと最適化に必要なツールやベストプラクティスを習得。CloudWatch、SageMaker、Cost Explorerなどを活用してパフォーマンスとコストの最適なバランスを実現する方法を学ぶ。

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

AWS ML Engineer Associate Curriculum Conclusion (Japanese) 日本語吹き替え版

Discover how to advance your AWS machine learning journey with downloadable resources and next steps for continuous learning in ML engineering. (134 characters)

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

Digital Classroom - Building Streaming Data Analytics Solutions on AWS (简体中文)

掌握使用AWS Kinesis和Amazon MSK构建实时数据分析解决方案，从数据摄取到处理，优化性能和安全性，打造现代化数据架构。

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

AWS ML Engineer Associate 4.3 Secure AWS ML Resources (Japanese) 日本語吹き替え版

Master AWS機械学習リソースのセキュリティ管理、IAMポリシーの設定、SageMakerのコンプライアンス機能を実践的に学び、MLソリューションの保護とガバナンスを確実に実装する方法を習得。

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

AWS ML Engineer Associate 3.2 Create and Script Infrastructure (Japanese) 日本語吹き替え版

MLインフラストラクチャの構築とスクリプティングを学び、AWS CDK、CloudFormation、SageMaker SDKを使用して、スケーラブルで効率的なMLソリューションを実装する方法を習得。

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

Generative BI with Amazon Q in Quicksight - Getting Started (한국어)

Discover how to leverage Amazon Q in QuickSight for natural language data queries, dashboard creation, and advanced BI insights using large language models and generative AI capabilities. (한국어 자막 제공)

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