What is SageMaker notebooks?
Benefits of SageMaker notebooks
Build ML at scale
Quick start
Elastic compute
Boost ML development productivity
Data preparation
Notebook jobs
AI-powered tools
Amazon Q Developer provides ‘how-to’ guidance on SageMaker features, code generation assistance, and support for troubleshooting in the JupyterLab environment. Simply ask your questions in natural language, such as "How do I deploy my model on a SageMaker endpoint for real-time inference?", and Amazon Q Developer will provide step-by-step instructions and code to get you started. When you encounter errors while executing the code, the Amazon Q Developer is there to lend a helping hand. Just ask it to fix the error, and it will provide detailed steps to debug and resolve the issue.