All current Amazon SageMaker Courses courses in 2024
29 Courses
AWS SimuLearn: Set Up an ML Environment
AWS SimuLearn is an online learning experience that pairs generative AI-powered simulations with hands-on practice to help individuals learn how to translate business problems into technical solutions through the simulation of dialog between a customer and a technology professional.
AWS SimuLearn: Set Up an ML Environment
In this AWS SimuLearn assi.
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.
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.
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.
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 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 Foundations: How Amazon SageMaker Can Help (Japanese)
AWS Foundations: How Amazon SageMaker Can Help (Japanese)
Amazon SageMaker により、機械学習のパイプライン実装における主な課題がどのように解消されるのかを学習します。このコースでは、SageMaker ノートブックとインスタンスが機械学習ワークローの強化をサポートする方法を学び、Amazon SageMaker の主な機能を復習します。
コースレベル: 基礎
実施形式: デジタル.
Developing Machine Learning Solutions (Korean)
Developing Machine Learning Solutions (Korean)
이 기계 학습 과정에서는 기계 학습 수명 주기와 모든 단계에서 AWS 서비스를 사용하는 방법을 알아봅니다. 또한 기계 학습 모델에 대한 다양한 소스를 검색하고 해당 모델의 성능을 평가하는 기법도 알아봅니다. 기계 학습 프로젝트의 개발 및 배포를 간소화하는 데 있어 기계 학습 운영(MLOps)의 중요성도 이해합니다..
AWS Machine Learning Engineer Nanodegree
AWS Machine Learning Engineer Nanodegree
The AWS Machine Learning Engineer (MLE) Nanodegree program aims to equip software developers and data scientists with essential data science and machine learning skills. Learn to build and deploy machine learning models in production using Amazon SageMaker. This comprehensive course focuses on the latest bes.
AWS Machine Learning Engineer Nanodegree
AWS Machine Learning Engineer Nanodegree
AWS Machine Learning Engineer Nanodegree
The AWS Machine Learning Engineer (MLE) Nanodegree program aims to empower software developers and data scientists with essential data science and machine learning skills. This program emphasizes the construction and deployment of machine learning.
