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

Introduction

Welcome everyone to the cloud lab session. In this article, we will guide you through the process of getting started with the Vertex AI Gemini API and Python SDK.

Step 1: Starting the Lab

Start the Lab: Begin by clicking on "Start Lab". Wait a moment for the environment to load.
Login Credentials: Obtain your login credentials, which include a password you can copy directly from the console.
Access the Console: Open the console in incognito mode. Here, paste the copied password and press "Enter" to log in.

Once logged in, you will notice a menu on the left side. Navigate to the following locations:

Step 2: Navigate to the Work Branch

Work Branch: Click on "Work Branch".
User Management: Head over to "User Manage Notebook".

Step 3: Launch Jupyter Lab

Open Jupyter Lab by clicking on the appropriate option. This will open a new tab where you can work on your projects.

Step 4: Accessing Gemini

Generative AI: In Jupyter Lab, locate the "Generative AI" section and click to access "Gemini".
Getting Started: Click on "Getting Started" to find an introductory Python script for Gemini.

Step 5: Running the Script

Execution: You will run the cells of code one by one. You can press Shift + Enter to run each command or click on the run icon.
Project ID and Region: Before running the code, scroll down to change the Project ID and select the appropriate region:
- Replace the default project ID with your own.
- Copy the desired region and paste it into the designated area.
Run the Code: After making the necessary changes, start running the code by clicking on the run button at the top. Wait for the execution to complete before moving on to the next command.

Step 6: Error Handling

Ensure you keep an eye out for any errors during execution. If you encounter one, make necessary adjustments and rerun the cell. This ensures all commands are executed sequentially to avoid issues.

Step 7: Checking Results

Once all commands are run, check the output. It’s crucial to ensure all processes were executed correctly, confirming completion with 100 points.

Conclusion

With everything done, you have now completed the lab session. Thank you for participating, and we look forward to seeing you in the next lab!

Keywords

Vertex AI
Gemini
Python SDK
Jupyter Lab
Project ID
Region
Generative AI
Error Handling

FAQ

Q: What is Vertex AI?
A: Vertex AI is a unified machine learning platform that helps users build, deploy, and scale AI models more efficiently.

Q: How do I access Jupyter Lab?
A: After logging in, navigate to "User Manage Notebook" and select the option to open Jupyter Lab.

Q: What do I do if I encounter an error?
A: If you encounter an error, revise the code or configuration, and rerun the specific cell where the error occurred.

Q: How can I ensure that my script runs correctly?
A: Run the commands one by one rather than all at once to monitor for errors and confirm execution status.

Q: Will I achieve points for completing the tasks?
A: Yes, if all tasks are checked successfully, you will earn full points for your completion.