All current Amazon SageMaker Courses courses in 2024
29 Courses
AWS ML Visão geral do curso de engenheiro associado (Português) | AWS ML Engineer Associate Curriculum Overview (Portuguese)
Neste curso introdutório à grade curricular de engenheiros de ML associados da AWS, você analisa os conceitos básicos de machine learning (ML) e examina a evolução do machine learning e da IA. Você explora as primeiras etapas do ciclo de vida do ML, identificando uma meta de negócios e formulando um problema de ML com base nessa meta de negócios. F.
AWS ML Engineer Associate Curriculum Overview (Japanese)
AWS ML Engineer Associate Curriculum のこの入門コースでは、機械学習 (ML) の基礎を復習し、ML と AI の進化について確認します。ML ライフサイクルの最初のステップとして、ビジネス目標を特定し、そのビジネス目標に基づいて ML の問題を定式化します。最後に、ML モデルの構築、トレーニング、デプロイに使用できるフルマネージド型 AWS サービスである Amazon SageMak.
AWS Cloud Quest: Generative AI (Japanese) 日本語版
AWS Cloud Quest: Generative AI (Japanese) 日本語版
Join the AWS Cloud Quest: Generative AI program in Japanese and enhance your skills in a variety of AWS services.
Amazon S3
AWS Lambda
Amazon EC2
Amazon API Gateway
Amazon CloudFront
Amazon SageMaker
Amazon DynamoDB
AWS Cloud 9
Amazon OpenSearch Service
Amazon Comprehend.
Cree un bot de búsqueda de respuestas mediante la IA generativa (Español LATAM) | Build a Question-answering Bot using Generative AI (LATAM Spanish)
Cree un bot de búsqueda de respuestas mediante la IA generativa (Español LATAM) | Build a Question-answering Bot using Generative AI (LATAM Spanish)
Información general del laboratorio
En este laboratorio, creará un chatbot que responde preguntas sobre los servicios de AWS. El laboratorio está diseñado para proporcionarle experiencia práctica.
Créer un bot qui réponde aux questions à l'aide de l'IA générative (Français) | Build a Question-answering Bot using Generative AI (French)
Créer un bot qui réponde aux questions à l'aide de l'IA générative (Français) | Build a Question-answering Bot using Generative AI (French)
Dans cet atelier, vous allez créer un chatbot qui répond aux questions concernant les services AWS. Cet atelier est destiné à vous fournir une expérience pratique dans le déploiement d’un grand modèle de lang.
Advance Your Skills in AI and Machine Learning
Embark on a journey to master the ever-evolving field of artificial intelligence (AI) and machine learning (ML) with our comprehensive learning path offered by LinkedIn Learning. This specialized program is meticulously designed to enhance your abilities in AI, ML, and data science. Dive deep into data analysis, gain expertise on leading platforms,.
LinkedIn Learning
Free Trial Available
11 hours
On-Demand
Build a Question-answering Bot using Generative AI (Korean)
Build a Question-answering Bot using Generative AI (Korean)
실습 개요
이 실습에서는 AWS 서비스에 대한 질문에 답변하는 챗봇을 빌드합니다. 이 실습은 대규모 언어 모델(LLM)을 배포하고, 이를 Amazon Kendra 데이터 원본과 통합하고, LLM을 쿼리하고 검색 증강 생성(RAG)을 통해 사용자 질문에 대한 답변을 찾는 Amazon Lex V2 챗봇을 빌드할 수 있는 실습 환경을 제공.
Build a Question-answering Bot using Generative AI (Simplified Chinese)
建置基於生成式 AI 的問答機器人 (簡體中文) - AWS Skill Builder
在此實驗室中，您將建置可回答 AWS 服務相關問題的 Chatbot。此實驗室的設計訴求是讓您實際體驗如何部署大型語言模型 (LLM)、將該模型與 Amazon Kendra 資料來源整合，以及建置可詢問 LLM 並使用檢索增強生成 (RAG) 來找出使用者問題解答的 Amazon Lex V2 Chatbot。此實驗室可協助您了解.
AWS ML Engineer Associate 2.1 Choose a Modeling Approach
AWS ML Engineer Associate 2.1 Choose a Modeling Approach
Explore the AWS ML stack layers and learn how to solve common business challenges with AWS services. This course explores how to use Amazon SageMaker for machine learning tasks and how to review strategies for selecting appropriate models.
Additionally, this course highlig.
Criação de modelos de linguagem na AWS (Português) | Building Language Models on AWS (Portuguese)
Criação de Modelos de Linguagem na AWS (Português) | Building Language Models on AWS (Portuguese)
O Amazon SageMaker ajuda data scientists a preparar, criar, treinar, implantar e monitorar modelos de Machine Learning (ML). O SageMaker reúne um conjunto amplo de capacidades, incluindo acesso a bibliotecas de treinamento distribuído, modelos de códi.
AWS Skill Builder
Free Certificate
5 hours 30 minutes
On-Demand