April Level 2 || Lab 6 Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab

 

Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab || GSP354 ||

Solution here

Task 1: Create a Vertex Notebooks instance

1. Navigate to Vertex AI > Workbench > Instances.

2. Click on the Create New button.

3. Fill out the form with the following options:

• Name: vertex-ai-challenge
• Region: Check Lab Instruction
• Zone: Leave the value as default

1. Click on Environment.

2. Select Use a previous version. In the Version dropdown, select workbench-instances-v20240214 (M117)

3. Click Continue.

4. Select e2-standard-4 as the Machine Type.

5. Click Create.

Task 2: Download the challenge notebook

1. In your notebook, click the terminal.

2. Clone the repo by running this command:

git clone https://github.com/QUICK-GCP-LAB/training-data-analyst.git

3. Install the required packages for the lab:

cd training-data-analyst/quests/vertex-ai/vertex-challenge-lab
pip install -U -r requirements.txt --user

4. Go to the enclosing folder: training-data-analyst/quests/vertex-ai/vertex-challenge-lab.

5. Open the notebook file vertex-challenge-lab.ipynb. When asked which kernel to use, select the TensorFlow 2-11 kernel.

6. In the Setup section, define your PROJECT_ID, REGION, and GCS_BUCKET variables.

For Tasks 3,4,5 & 6 Follow Video Instructions.

• Note: This training can take around 30-40 minutes to train and deploy the model.

Congratulations 🎉 for Completing the Lab !

You Have Successfully Demonstrated Your Skills And Determination.

Well done!