All current Amazon Web Services (AWS) Courses courses in 2024
147 Courses
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 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 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 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 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.
Developing Machine Learning Solutions (Thai)
นักเรียนที่เข้าร่วมในหลักสูตรแมชชีนเลิร์นนิงนี้จะได้เรียนรู้เกี่ยวกับการดำเนินงานในวงจรชีวิตของแมชชีนเลิร์นนิง พร้อมค้นพบวิธีการใช้บริการ AWS ในแต่ละขั้นตอนอย่างรอบคอบ หลักสูตรนี้ยังแสดงให้เห็นถึงความสำคัญของ MLOps ในการปรับปรุงการพัฒนาและใช้งานเครื่องมืออย่างมีประสิทธิภาพ
ระดับหลักสูตร: พื้นฐาน
ระยะเวลา: 1 ชั่วโมง
กิจกรรม
หลักสูตรนี.
Security, Compliance, and Governance for AI Solutions (Traditional Chinese)
本課程幫助了解與人工智慧 (AI) 解決方案相關的安全性、合規與管控問題。學習識別 AI 系統的管控和合規要求，及如何使用 Amazon Web Services (AWS) 服務以協助管控與合規。介紹的 AWS 服務可以保護 AI 系統的安全。
課程等級：基礎
課程時長：1 小時
本課程包括互動元素、文字指令和說明性圖形。
課程目標
識別並描述 AI 系統的常見管控和合規考量因素。
描述協助套用管.
Amazon Bedrock, Amazon Q & AWS Generative AI [HANDS-ON]
Elevate your AI capabilities with a comprehensive course on Amazon Bedrock, Amazon Q, and AWS Generative AI. Perfect for beginners, this hands-on training requires no prior experience in AI or coding.
Dive into practical learning with over eight use cases, exploring various AWS and AI technologies such as Agents, Knowledge Bases, Chatbots,.
AWS SageMaker Practical for Beginners | Build 6 Projects
Embark on your machine learning journey with our beginner-friendly course on AWS SageMaker, designed to equip you with hands-on experience in building real-world projects. This comprehensive Udemy course covers essential algorithms such as Linear Learner, XGBoost, and PCA, alongside Image Classification techniques.
Dive deep into the world of.
Desarrollo de soluciones de machine learning (Español LATAM) | Developing Machine Learning Solutions (LATAM Spanish)
En este curso, aprenderá acerca del ciclo de vida del machine learning y de cómo utilizar los servicios de AWS en cada etapa. Conocerá las diversas fuentes de modelos de machine learning y aprenderá técnicas para evaluar su rendimiento. También comprenderá la importancia de las operaciones de machine learning (MLOps) para optimizar el desarrollo.
