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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.
通过 MLOps、CI/CD 编排和自动再训练机制,将机器学习工作流部署到生产环境。
概览 AWS 上机器学习工程的核心概念,从业务目标制定到使用 SageMaker Studio 开发解决方案。
Learn Amazon’s four-part approach to sustaining customer-centric innovation at scale through culture, mechanisms, architecture, and organization.
Learn how SaaS business models use AWS for secure multi-tenancy, operational efficiency, measurement, and growth.
Descubra, implante, ajuste e avalie modelos de base no Amazon SageMaker JumpStart usando o console, incluindo a criação de imagens generativas por prompts.
Aprenda a descubrir, implementar, ajustar y evaluar modelos fundacionales en Amazon SageMaker JumpStart mediante la consola.
AWS ML Engineer Associate 교육 과정의 핵심 개념을 복습하고 기계 학습 학습을 이어 갈 리소스를 안내합니다.
以最低权限、网络隔离和 SageMaker 安全合规功能保护 AWS 机器学习资源。
เรียนรู้พื้นฐานการออกแบบและปรับแต่งพรอมต์ รวมถึงเทคนิค Zero-Shot, Few-Shot และ Chain-of-Thought พร้อมความเสี่ยงที่พบบ่อย
Fundamentos para diseñar y optimizar peticiones para modelos de IA, con técnicas sin ejemplos, con algunos ejemplos y con cadena de pensamiento, y análisis de riesgos.
Learn AWS FinOps practices to optimize cloud costs across compute, storage, and databases while planning budgets and forecasts.
CI/CD와 AWS 서비스를 활용해 ML 워크플로를 자동화하고 프로덕션 모델 재교육과 추론을 통합하는 MLOps 과정입니다.
Amazon SageMaker를 활용해 프로덕션 ML 솔루션의 드리프트·편향·모델 품질을 지속적으로 모니터링하고 자동으로 대응하는 방법을 배웁니다.
머신 러닝 데이터 변환을 위해 정제, 인코딩, 특성 추출과 AWS 도구 활용 방법을 학습합니다.
介绍生成式人工智能背景下负责任 AI 的核心维度,以及在 AWS 上评估和构建相关系统的工具。
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