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Discover how to develop ethical AI systems by exploring core principles, AWS tools, and human-centered design approaches for creating transparent, explainable, and responsible AI solutions.
기계 학습, AI, 딥 러닝의 기초부터 생성형 AI까지 포괄적으로 탐구하며 AWS 서비스를 활용한 실제 문제 해결 방법을 습득하는 입문 과정입니다.
了解如何使用 AWS 服务实现 AI 系统的安全性、合规性和监管要求,掌握数据监管策略和安全数据工程最佳实践,为 AWS AI 从业者认证做准备。
探索生成式人工智能应用的完整生命周期,从业务用例定义到模型部署,掌握基础模型选择、性能优化和评估的关键技能。
掌握提示工程的基础知识,从提示要素、优化技巧到风险防范。探索零样本、少样本和思维链提示等技术,提升AI应用效能。
了解机器学习生命周期和AWS服务的应用,掌握MLOps基础知识,从数据准备到模型部署的全流程实践指南。
Dive into Amazon Q Business's AI-powered assistant capabilities, from setting up applications to mastering chat interactions for enterprise-level content generation and task automation in Chinese.
探索人工智能、机器学习和生成式AI在医疗、金融等行业的实际应用,掌握模型选择技巧和关键业务指标,了解这些技术的能力与局限性。
探索负责任的AI实践,掌握AWS服务工具,了解AI系统开发中的核心维度、模型选择、数据准备和透明度原则,建立以人为本的AI解决方案。
探索人工智能和机器学习的基础概念,包括深度学习、生成式AI和AWS服务应用,掌握核心术语并了解如何运用这些技术解决实际问题。
掌握 AWS 安全最佳实践,从网络基础设施到计算安全,学习如何设计和实施全面的安全解决方案,建立有效的监控和警报机制,保护云端工作负载。
Dive into RAG and fine-tuning techniques to enhance foundation model performance, focusing on AWS services, vector databases, agents, and data preparation methods for AI/ML optimization.
Dive into AWS cloud governance automation, focusing on security, compliance, and multi-account management for enterprise-scale operations using Organizations, Control Tower, and IAM tools.
Dive into AWS Well-Architected Framework's six pillars, learning to make informed architectural decisions and optimize cloud solutions through best practices and hands-on reviews.
Discover AWS 클라우드 보안의 핵심 - 액세스 제어, 데이터 암호화, 네트워크 보안을 통해 인프라를 안전하게 보호하고 모니터링하는 방법을 습득하세요.
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