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AWS Skill Builder is an Amazon-hosted platform for developers to create, manage and deploy Alexa skills. It provides a range of resources and tools to help you build your skills quickly and easily.
Dive into serverless API development using AWS SAM, deploying Python-based Lambda functions and integrating with S3 through hands-on practice with AWS Cloud9.
Discover AWS Glue의 서버리스 데이터 통합 기능과 DataBrew를 활용한 데이터 준비 방법을 통해 분석, 기계학습, 애플리케이션 개발을 위한 데이터 관리 역량을 향상시킵니다.
Discover how to efficiently process big data using Amazon EMR Serverless and clusters, mastering open-source frameworks like Apache Spark and Hive for cost-effective data analysis and machine learning.
Dive into Amazon EMR Serverless 和集群部署,掌握大数据处理技术,从基础架构到实际应用,通过实践教程学习如何高效运行和管理数据分析应用程序。
Dive into RAG(검색 증강 생성) 워크플로우를 구축하고 Amazon OpenSearch Service를 활용하여 AI 생성 응답의 정확도를 향상시키는 방법을 마스터하세요. 벡터 임베딩과 고급 검색 기능을 통해 효과적인 검색기를 구현합니다.
Dive into AWS 보안 서비스와 제어 메커니즘의 모범 사례를 통해 네트워크 인프라 보호, 컴퓨팅 리소스 관리, 모니터링 및 경보 시스템 구현 방법을 습득하여 워크로드의 보안을 강화하세요.
掌握AWS NoSQL数据库高级功能,构建具有毫秒级性能的现代应用程序。深入学习DynamoDB、DocumentDB和ElastiCache,实现实时扩展和事件驱动架构。
Dive into customizing and evaluating large language models using SageMaker JumpStart, covering prompt engineering, RAG, fine-tuning, and responsible AI practices through hands-on demonstrations.
Dive into building RAG workflows with Amazon OpenSearch Service to enhance AI responses through advanced information retrieval and text generation techniques.
掌握AWS Glue无服务器数据集成服务的基础知识,包括数据发现、准备和组合,以及AWS Glue Studio和DataBrew可视化工具的实践应用。
Discover how to deploy and fine-tune foundation models through SageMaker JumpStart, focusing on model selection, deployment parameters, and generative AI capabilities for ML applications.
Discover how to automatically extract text and data from scanned documents using Amazon Textract's ML capabilities. Learn key concepts, architectures, and hands-on implementation through guided labs and tutorials.
Dive into no-code machine learning and generative AI using Amazon SageMaker Canvas, mastering data preparation, model training, and deployment through hands-on labs. Build accurate ML models and explore foundation models for text generation and RAG appli…
Dive into machine learning and generative AI on AWS without coding - prepare data, train models, and deploy solutions using SageMaker Canvas with hands-on labs and practical applications in Chinese.
Dive into Amazon Comprehend的自然语言处理功能,掌握文本分析技术,通过实践练习和案例学习提取有价值的见解,适用于AWS环境下的文本处理解决方案开发。
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