HAQM Q Developer can now guide SageMaker Canvas users through ML development
Starting today, you can build ML models using natural language with HAQM Q Developer, now available in HAQM SageMaker Canvas in preview. You can now get generative AI-powered assistance through the ML lifecycle, from data preparation to model deployment. With HAQM Q Developer, users of all skill levels can use natural language to access expert guidance to build high-quality ML models, accelerating innovation and time to market.
HAQM Q Developer will break down your objective into specific ML tasks, define the appropriate ML problem type, and apply data preparation techniques to your data. HAQM Q Developer then guides you through the process of building, evaluating, and deploying custom ML models. ML models produced in SageMaker Canvas with HAQM Q Developer are production ready, can be registered in SageMaker Studio, and the code can be shared with data scientists for integration into downstream MLOps workflows.
HAQM Q Developer is available in SageMaker Canvas in preview in the following AWS Regions: US East (N. Virginia), US West (Oregon), Europe (Frankfurt), Europe (Paris), Asia Pacific (Tokyo), and Asia Pacific (Seoul). To learn more about using HAQM Q Developer with SageMaker Canvas, visit the website, read the AWS News blog, or view the technical documentation.