Amazon Web Services

Amazon SageMaker Studio offers a comprehensive web-based interface for end-to-end machine learning development. This demo showcases SageMaker Studio's wide range of tools for data preparation, model building, training, deployment, and management. It highlights key features like JumpStart, a model hub with pre-built solutions, and JupyterLab for collaborative data analysis and model development. The video demonstrates how SageMaker Studio integrates with other AWS services like EMR and Glue for data processing, and provides easy access to various data sources. It also shows capabilities for fine-tuning and deploying large language models with minimal code.

product-information
skills-and-how-to
generative-ai
ai-ml
analytics
Show 3 more

Up Next

VideoThumbnail
30:23

T3-2 Amazon SageMaker Canvasで始めるノーコード機械学習 (Level 200)

Jun 27, 2025
VideoThumbnail
21:59

T4-2 安全・手軽に生成 AI を社員に提供できる Amazon Q の可能性 (Level 200)

Jun 27, 2025
VideoThumbnail
26:05

T4-4: AWS 認定 受験準備の進め方 AWS Certified Solutions Architect – Associate 編 後半

Jun 26, 2025
VideoThumbnail
32:15

T3-1: はじめてのコンテナワークロード - AWS でのコンテナ活用の第一歩

Jun 26, 2025
VideoThumbnail
29:37

BOS-09: はじめてのサーバーレス - AWS Lambda でサーバーレスアプリケーション開発 (Level 200)

Jun 26, 2025