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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 ML infrastructure automation on AWS, mastering IaC, containerization, and auto-scaling using CloudFormation, CDK, and SageMaker SDK for efficient model deployment and hosting.
Dive into AWS ML 엔지니어 어소시에이트의 기초부터 Amazon SageMaker를 활용한 ML 모델 구축, 훈련, 배포까지 전반적인 기계학습 개발 과정을 탐구하는 입문 가이드.
Dive into ML 데이터 검증과 준비 과정을 통해 데이터 편향 완화, 보안 전략, AWS Glue DataBrew 활용법을 배우고 모델 훈련을 위한 데이터셋 구성 및 최적화 방법을 마스터하세요.
Dive into ML data lifecycle fundamentals, covering data types, AWS storage services like S3, and efficient data collection methods using Amazon Kinesis for machine learning applications.
Discover how to advance your ML engineering journey with AWS through comprehensive resources, next steps, and a downloadable curriculum guide for continued learning.
Gain insights into AWS ML Engineer Associate certification path resources and next steps for advancing your machine learning engineering career on AWS platform.
Master AWS ML资源安全配置,从IAM策略到SageMaker端点保护,掌握最低权限原则和VPC网络设置,确保机器学习解决方案的安全性与合规性。
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。
Master MLOps practices and automate ML workflows using AWS services, from CI/CD pipeline implementation to model deployment and retraining mechanisms for production environments.
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.
Dive into ML model deployment infrastructure on AWS, covering orchestration services, inference strategies, compute options, and edge optimization for production environments.
Discover Amazon Comprehend의 자연어 처리 기능을 통해 텍스트에서 가치 있는 인사이트를 추출하고 실제 구현 방법을 학습하며 AWS 환경에서 맞춤형 NLP 솔루션을 구축하는 방법을 습득합니다.
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。
Dive into AWS ML infrastructure creation, focusing on IaC, CloudFormation, CDK, containerization, and SageMaker SDK for scalable and cost-effective machine learning solutions deployment.
Dive into AWS 클라우드 보안의 핵심 요소를 배우고 IAM, 계정 관리, 데이터 보호, 로깅, 모니터링 및 위협 대응에 대한 실무적인 보안 엔지니어링 기술을 습득하세요.
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