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Gemini API: Qwik Start

Lab 15 minutes universal_currency_alt 1 Credit show_chart Introductory
info This lab may incorporate AI tools to support your learning.
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GSP1308

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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 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 replace the __GEMINI_FLASH_MODEL_ID__ placeholder in the notebook with and 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:

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Manual Last Updated October 07, 2025

Lab Last Tested October 07, 2025

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Before you begin

  1. Labs create a Google Cloud project and resources for a fixed time
  2. Labs have a time limit and no pause feature. If you end the lab, you'll have to restart from the beginning.
  3. On the top left of your screen, click Start lab to begin

Use private browsing

  1. Copy the provided Username and Password for the lab
  2. Click Open console in private mode

Sign in to the Console

  1. Sign in using your lab credentials. Using other credentials might cause errors or incur charges.
  2. Accept the terms, and skip the recovery resource page
  3. Don't click End lab unless you've finished the lab or want to restart it, as it will clear your work and remove the project

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Use private browsing to run the lab

Using an Incognito or private browser window is the best way to run this lab. This prevents any conflicts between your personal account and the Student account, which may cause extra charges incurred to your personal account.