Select if you need to configure specific VPC or IAM permissions. 5. Launch the Application
Includes JupyterLab, Code Editor (based on VS Code), and RStudio.
Use your local Git tools and favorite IDE (like PyCharm or VS Code). download sagemaker studio
If your goal is to write code on your local laptop but run jobs on AWS, you don't download the IDE—you download the . Install via Terminal/Command Prompt: pip install sagemaker Why use the SDK locally?
Pre-process small data samples on your machine, then trigger massive training jobs on AWS with one command. Key Features to Explore After Setup Select if you need to configure specific VPC
Because it is a fully managed service, you access SageMaker Studio through the AWS Management Console. Follow these steps to initialize your environment: 1. Sign In to AWS
📊 Clean and explore data visually without writing code. You can export these flows directly into Python scripts. Use your local Git tools and favorite IDE
Once your domain and user profile are ready, click next to your user name and select Studio . This will open the web-based IDE in a new tab. Running SageMaker Locally (The Real Download)