How to start using Gemini API on Vertex AI🔥: Python & Node.js — Google #2

In today's tutorial, we are going to set up the Vertex AI and use the Gemini Pro API. The Vertex AI is designed for developers and enterprises for use in scaled deployments. It offers features such as enterprise security, data residency, performance, and technical support. I’ll show you an example of how to use the Vertex AI Gemini API in both Python and Node.js.

⭐ Code ⭐
GitHub repository: https://github.com/rokbenko/ai-playgr...
Code for this tutorial: https://github.com/rokbenko/ai-playgr...

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🎞️ Timestamps 🎞️
00:00 – Intro
00:24 – Code for this tutorial
00:40 – Gemini API vs. Vertex AI Gemini API
01:38 – Step 1: Sign in to Google Cloud and create the first project
01:52 – Step 2: Enable Vertex AI API
02:22 – Step 3: Set up Application Default Credentials using IAM
02:56 – Substep 1: Create a service account
03:20 – Substep 2: Create a JSON key
03:51 – JSON key example
03:59 – Step 4: Set the JSON key as an environment variable
04:20 – Application Default Credentials summary
04:49 – Step 5: Install Vertex AI SDK
05:10 – Step 6: Python and Node.js example code breakdowns
05:47 – Run Python and Node.js examples
06:15 – Outro

#AI #Gemini #VertexAI #GCP