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Getting Started with the Vertex AI Gemini API and Python SDK || GSP1209 || STUDY JAM GENAI

Education

Introduction

Welcome to today's lab on getting started with the Vertex AI Gemini API and Python SDK. Follow these steps to set up your environment and begin working on the project.

Step 1: Starting the Lab

  1. Click on Start Lab: Begin by clicking the 'Start Lab' button. Wait for a moment to let the lab initialize.
  2. Login Credentials: Obtain your login credentials. Copy the password provided in the console.
  3. Console Access: Open the console in incognito mode. Press 'Enter' and paste your user ID and password to log in.

Step 2: Navigating the Console

  1. Accessing the Work Branch: Once logged in, locate the tab labeled 'D' on the left sidebar and navigate to the work branch.
  2. User Management: After reaching the work branch, locate the 'User Management' notebook.
  3. Open Jupyter Lab: Open Jupyter Lab by clicking on it, which will open in a new tab.

Step 3: Working in Jupyter Lab

  1. Accessing Generative AI: In the Jupyter Lab environment, navigate to the Generative AI section.
  2. Finding Gemini: Click on Gemini to enter the Gemini workspace.
  3. Getting Started Notebook: Open the ‘Getting Started’ introductory notebook for Python.

Step 4: Editing the Notebook

  1. Running Cells: You will run the cells within the notebook one by one. Use the shortcut Shift + Enter or click the run icon for each cell.
  2. Updating Project ID and Region:
    • Scroll down to find the project ID and region sections.
    • Replace these values with the ones provided in your lab.
    • Copy the region, return to the notebook, and paste it accordingly.

Step 5: Executing Commands

  1. Executing One by One: Run each command individually to avoid errors. After running a command, monitor the status to ensure it executes correctly, ensuring it does not halt.
  2. Checking for Errors: Stay alert for any errors during execution. Make adjustments as necessary.

Step 6: Finalizing the Lab

  1. Check Processing Status: After running all necessary commands, ensure that the entire process is checked for issues.
  2. Achieving the Checkpoints: Verify that the lab runs successfully, yielding a high score (ideally 100 points).
  3. Final Submission: Conclude your lab session, ensuring all steps were checked and executed correctly.

Thank you for participating in this lab. You have now successfully worked with the Vertex AI Gemini API and Python SDK. We look forward to seeing you in our next session. Till then, goodbye!

Keywords

  • Vertex AI
  • Gemini
  • Python SDK
  • Jupyter Lab
  • Project ID
  • Region
  • GenAI

FAQ

  1. What is Vertex AI?

    • Vertex AI is a machine learning platform offered by Google Cloud that allows users to build and deploy machine learning models efficiently.

  2. What is the purpose of the Gemini API?

    • The Gemini API provides access to generative AI capabilities, facilitating the integration of AI-driven features into applications.

  3. How do I run commands in Jupyter Lab?

    • You can run commands in Jupyter Lab by selecting the cell you want to execute and pressing Shift + Enter or by clicking the run icon.

  4. What should I do if I encounter an error?

    • If an error arises, check the command for any mistakes, correct them, and then rerun the command to see if the problem is resolved.

  5. How can I check my lab progress?

    • You can monitor your lab status and confirm the successful execution of commands through the output and status messages displayed in Jupyter Lab.