GSP1308

Overview

The Gemini API empowers developers and creators across various fields by providing advanced natural language processing and code generation capabilities. It enables the creation of intelligent chatbots, automated content generation tools, insightful data analysis platforms, and personalized learning experiences. Its versatility stems from its ability to understand context, generate creative text, analyze complex data, and adapt to diverse applications.

There are two Gemini models, Gemini Pro and Gemini Flash. In this lab, you will use the Gemini 2.0 Flash model.

Prerequisites

Before starting this lab, you should be familiar with:

• Basic Python programming.
• General API concepts.
• Running Python code in a Jupyter notebook on Vertex AI Workbench.

Objectives

In this lab, you will learn how to:

• Set up and authenticate the Gemini API.
• Make basic API calls to interact with Gemini models.

Task 1. Set your API Key

1. In the Jupyter Notebook, copy the below API key into API_KEY variable.

{{{project_0.startup_script.api_key|"API KEY"}}}

Task 2. Run through the notebook cells

1. Once you have set your API_KEY variable, please follow instructions directly in the Jupyter Notebook.

Note: API calls to Gemini require processing time. Please allow a moment for the response to appear after executing a notebook cell.

Click Check my progress to verify the objective. Generate Text from the Gemini API.

Click Check my progress to verify the objective. Multi-Turn Conversations.

Congratulations!

Congratulations! In this lab, you learned how to use the Gemini API and make basic API calls to interact with Gemini models.

Next steps / learn more

Check out the following resources to learn more about Gemini:

• Gemini Overview
• Generative AI on Vertex AI Documentation
• Generative AI on YouTube
• Explore the Vertex AI Cookbook for a curated, searchable gallery of notebooks for Generative AI.
• Explore other notebooks and samples in the Google Cloud Generative AI repository.

Google Cloud training and certification

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Manual Last Updated March 24, 2025

Lab Last Tested March 24, 2025

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