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公式動画＆関連する動画 [How to Use the Oracle AI Data Platform Extension in Visual Studio Code]
Work with Oracle AI Data Platform resources directly in Visual Studio Code to develop agents, manage workflows, access knowledge bases, and run Python workloads without leaving your development environment. See how the Oracle AI Data Platform Extension streamlines AI development workflows by integrating platform resources into Visual Studio Code at https://www.oracle.com/artificial-intelligence/
In this tutorial, we explore how to install, configure, and use the Oracle AI Data Platform Developer Extension for Visual Studio Code. The extension provides direct access to Oracle AI Data Platform resources from within the development environment, making it possible to work with agents, workflows, knowledge bases, workspace files, compute resources, and the Master Catalog without switching applications. The tutorial demonstrates how to authenticate with an Oracle AI Data Platform instance, connect to a workspace, browse available resources, preview and edit files, and synchronize updates back to the platform. It also shows how to deploy and test code-based agents, monitor workflow execution, explore shared catalog resources, and submit Python workloads to an Oracle AI Data Platform cluster directly from Visual Studio Code. Throughout the tutorial, you will see how the extension simplifies day-to-day development while keeping Oracle AI Data Platform resources accessible from a familiar coding environment. Whether you are building AI applications, managing development assets, or executing workloads on shared compute resources, this tutorial provides a practical overview of integrating Oracle AI Data Platform into an existing Visual Studio Code workflow and highlights the capabilities available through the Developer Extension.
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