Amazon Web Services

This video provides a comprehensive guide on getting started with Amazon SageMaker Studio, an integrated development environment for machine learning. It walks through the process of setting up a SageMaker domain, creating user profiles with appropriate permissions, and establishing shared spaces for collaborative work. The video explains how to launch SageMaker Studio and access its various features, including data preparation tools, pre-trained models, and MLOps capabilities. It emphasizes the importance of proper domain setup and user management to enable effective team collaboration and resource sharing within SageMaker Studio.

The tutorial demonstrates how to create and manage user profiles within a SageMaker domain, highlighting the ability to customize execution roles and access permissions for each user. It also showcases the shared spaces feature, which allows multiple users to work together in real-time on notebooks and share model artifacts seamlessly. The video concludes by showing how to launch SageMaker Studio and navigate its interface, providing a foundation for users to begin their machine learning projects using AWS's powerful ML development environment.

product-information
skills-and-how-to
data
ai-ml
sagemaker
Show 2 more

Up Next

VideoThumbnail
5:35

AWS WAF - Web Application Firewall protect your web applications from common web exploits

Jun 26, 2025
VideoThumbnail
16:03

Tọa đàm với anh Hiếu Trần - Co-founder của NAB Studio

Jun 26, 2025
VideoThumbnail
18:40

Thiết kế hạ tầng mạng chung trong môi trường sử dụng nhiều AWS account (Level 200)

Jun 26, 2025
VideoThumbnail
7:59

Triển khai và vận hành ứng dụng container trên môi trường nhiều AWS account (Level 300)

Jun 26, 2025
VideoThumbnail
7:06

Sử dụng Amazon S3 như thế nào? (Level 100)

Jun 26, 2025