All current Amazon Web Services (AWS) Courses courses in 2024

AWS Skill Builder

AWS Flash - Introduction to Responsible AI (Traditional Chinese)

本課程提供對負責任 AI 的基本介紹，重點探討其在生成式 AI 環境中的重要性。負責任 AI 涉及以道德、透明、和公正的方式開發和部署 AI。核心內容包括公平性、可解釋性、隱私、穩健性、和透明度的最佳實踐。您將學習如何利用 AWS 的服務和工具，構建負責任且可靠的 AI 系統。課程等級：基礎授課時長：60-75 分鐘注意：課程提供本地化註釋/字幕，旁白為英語。要.

AWS Skill Builder

AWS Cloud Quest: Machine Learning (Japanese)

Explore the dynamic world of cloud computing and machine learning with AWS Cloud Quest: Machine Learning - offered in Japanese by AWS Skill Builder. This course is your gateway to mastering essential concepts such as: Cloud computing fundamentals with Amazon S3. Introductory cloud steps using Amazon EC2 and AWS infrastructure. Estimat.

AWS Skill Builder

AWS Cloud Quest: Generative AI (Japanese)

Provider: AWS Skill Builder Categories: Machine Learning Courses, Cloud Computing Courses, Generative AI Courses, Amazon Web Services (AWS) Courses, Amazon SageMaker Courses, LangChain Courses, Amazon S3 Courses, AWS Lambda Courses

AWS Skill Builder

AWS Flash - Operationalize Generative AI Applications (FMOps/LLMOps) (Simplified Chinese)

本课程概述了生产 LLM 所面临的挑战以及一套可用于解决这些挑战的工具。课程将概述开发、部署和实施 LLM 的参考架构，并展开介绍该过程的每个阶段。课程级别：中级时长：90 分钟课程内容本课程包括演讲、真实示例和案例研究。课程目标在本课程中，您将学习以下内容：区分 MLOPs 和 LLMOPs，定义实施 LLM 时面临的核心挑战学习如何为给定的使用案例.

AWS Skill Builder

AWS ML Engineer Associate 2.1 Choose a Modeling Approach (Korean)

AWS ML 스택 계층을 살펴보고 AWS 서비스를 사용하여 일반적인 비즈니스 문제를 해결하는 방법을 알아봅니다. 이 과정에서는 기계 학습 태스크에 Amazon SageMaker를 사용하는 방법과 적절한 모델을 선택하기 위한 전략을 검토하는 방법을 살펴봅니다. 또한 사전 훈련된 Amazon SageMaker JumpStart ML 솔루션의 특정 시나리오를 중점적으로 설명하고 비즈니스 요구 사항에.

AWS Skill Builder

AWS ML Engineer Associate Curriculum Overview (Korean)

AWS ML 엔지니어 어소시에이트 교육 과정의 이 입문자용 과정에서는 기계 학습(ML) 관련 기본 사항을 복습하고 ML 및 AI의 발전 상황을 살펴봅니다. 비즈니스 목표를 파악하고 ML 문제를 공식화하며 Amazon SageMaker에 대해 알아봅니다. 과정 수준: 고급 소요 시간: 45분 참고: 이 과정의 동영상에는 한국어 트랜스크립트 또는 자막이 지원됩니다. 자막을 표시하.

AWS Skill Builder

Developing Machine Learning Solutions (Thai)

นักเรียนที่เข้าร่วมในหลักสูตรแมชชีนเลิร์นนิงนี้จะได้เรียนรู้เกี่ยวกับการดำเนินงานในวงจรชีวิตของแมชชีนเลิร์นนิง พร้อมค้นพบวิธีการใช้บริการ AWS ในแต่ละขั้นตอนอย่างรอบคอบ หลักสูตรนี้ยังแสดงให้เห็นถึงความสำคัญของ MLOps ในการปรับปรุงการพัฒนาและใช้งานเครื่องมืออย่างมีประสิทธิภาพ ระดับหลักสูตร: พื้นฐาน ระยะเวลา: 1 ชั่วโมง กิจกรรม หลักสูตรนี.