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Vertex AI Studio

Vertex AI Studio is Google's full-fledged ML/GenAI framework for fine-tuning models, building pipelines, and deploying at enterprise scale.

Back to Vertex AI Quickstart

Overview

Vertex AI Studio provides:

  • Prompt Management: Save, version, and share prompts
  • Fine Tuning: Customize models with your own data
  • Model Monitoring: Track performance and usage
  • Freeform & Open Chat modes: Interactive testing

Access Vertex AI Studio

Visit: Vertex AI Studio Console

Getting Started

Step 1: Select Freeform

Choose the Freeform mode for open-ended prompting.

Step 2: Choose a Model

Select a model such as gemini-1.5-flash.

Step 3: Enter Instructions

Enter your system instructions and optionally upload media files (images, audio, etc.).

Step 4: Get Code

Click Get Code to retrieve sample usage code for your prompt.

Setup for Code Export

When you export code from Vertex AI Studio, it may use a different package than the SDK we installed earlier.

Package Difference

  • SDK approach (this guide): Uses google-cloud-aiplatform with service account authentication
  • Studio export: Uses google-genai with application default credentials

Both work with Vertex AI. Use the SDK approach for production; Studio exports are great for quick testing.

To use exported code from Studio, install the required package:

pip install --upgrade google-genai

Authenticate with your Google Cloud account:

gcloud auth application-default login

Studio Features

Feature Description
Freeform Open-ended text generation
Chat Multi-turn conversation testing
Code Code generation and debugging
Vision Image understanding and analysis

When to Use Studio vs SDK

Use Case Recommended
Quick prototyping Studio
Testing prompts Studio
Production integration SDK
Automated pipelines SDK
Learning and exploration Studio

Summary

You have completed the Vertex AI Quickstart guide. You now know how to:

  1. Set up a Python environment with Anaconda
  2. Create a Google Cloud project and service account
  3. Connect to Vertex AI using the Python SDK
  4. Use generative models for text generation
  5. Configure model behavior with generation settings
  6. Maintain chat context across conversations
  7. Use Vertex AI Studio for rapid prototyping

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