Deploy from AI Studio to Cloud Run

Reference

• • Deploy from AI Studio to Cloud Run

Overview

Where does building with AI start today? For most of us, it starts with a simple question: Can I quickly prototype a solution to the problem I've been thinking about? That's where Google AI Studio comes in. It's a platform for rapid prototyping. In this codelab, you'll build a simple web application using vibe coding and deploy it to Cloud Run.

What we do

• • 自分のアイデアを形にできる：バイブコーディングを使用して簡単なアプリケーションを構築できるうになる
• • アプリケーションをCloud Run にデプロイできるようになる
• • Build a simple web application in Google AI Studio using vibe coding.
• • Test that the application works as expected.
• • Deploy the application to Cloud Run.

Conclusion

Congratulations! You successfully vibe coded a web application in Google AI Studio and deployed it to Cloud Run!

The integration of AI Studio with Cloud Run makes it easy to deploy applications directly to Google Cloud. By using Cloud Run, you get all the benefits of a serverless environment, abstracting away the complexities of infrastructure management.

Next Steps

Congratulations on completing this lab! Now that your application framework is ready, explore these official guides to expand your project's capabilities:

Recommended Documentation & Guides

• • Prompt Design Strategies: Learn the core principles of structuring prompts, using system instructions, implementing few-shot examples, and controlling output format.
• • Function Calling with the Gemini API: Connect your deployment to external tools and APIs, allowing the Gemini model to output structured data and trigger real-world application logic.
• • Text-to-Speech Generation: Learn how to generate spoken audio using the Gemini API, control speech styles, and test voices using the Voice Library in Google AI Studio.