Development tools overview

Vertex AI includes the following tools to help data scientists and software engineers develop machine learning (ML) workflows:

• The Vertex AI SDK is a comprehensive set of classes written in Python that lets you automate an ML workflow. With the Vertex AI SDK, you can use the Python language to accomplish anything you can do in the Google Cloud console. For more information, see Introduction to the Vertex AI SDK.
• Colab Enterprise is a collaborative, managed notebook environment with the security and compliance capabilities of Google Cloud. For more information, see Introduction to Colab Enterprise.
• Vertex AI Workbench is a Jupyter notebook-based development environment that data scientists can use for their entire ML workflow. For more information, see Introduction to Vertex AI Workbench.
• Terraform is an infrastructure as code (IaC) tool that you can use to provision resources and permissions for multiple Google Cloud services, including Vertex AI. For more information, see Terraform support for Vertex AI.

What's next

• Learn about the Vertex AI SDK.

• Learn about Colab Enterprise.

• Learn about Vertex AI Workbench.

• Learn about Terraform support for Vertex AI.