Gen-AI Developer Classroom notes 27/May/2026

System Set up with first calls to LLMs

• Goal:

  • Basic code to connect to llms on Google Cloud

• Softwares required

  • python
  • Git
  • Visual studio code
  • Google Cloud SDK
  • AWS CLI
  • Azure CLI
  • UV
• Configurations
  • Google Cloud SDK
  • AWS CLI
  • Azure CLI

• Sample code if this works your system is good to go.

• Installation Prompt

On my windows 11 laptop i want to install below softwares using winget

    * python
    * Git
    * Visual studio code
    * Google Cloud SDK 
    * AWS CLI
    * Azure CLI
    * UV

• Cloud CLI Prompt

I have gcloud sdk installed on my windows laptop

Give me steps to configure cli so that i can use gcloud vertex ai with python or langchain

I just need authentication and authorization steps not code

• Solution

gcloud init
gcloud auth application-default login

Test code

• create a new directory and cd into it

mkdir learning
cd learning
uv init .
uv add langchain langchain-google-genai python-dotenv
code .

• In vscode select interpretor ctrl+shift+p => python: select interpretor
• In main.py copy the following code

from langchain.agents import create_agent
from langchain_google_genai import ChatGoogleGenerativeAI
from dotenv import load_dotenv
import os

load_dotenv()


def main():
    model = ChatGoogleGenerativeAI(
        model="gemini-3.5-flash",
        project=os.getenv('PROJECT_ID')
    )
    result = model.invoke("What is capital of France")
    result.pretty_print()


if __name__ == "__main__":
    main()

• Create a file called as .env with following content

PROJECT_ID='<your gcp project id>'

• RUn uv run main.py