Hi @anshuman351,
Welcome to Google Cloud Community!
When setting up new Cloud Shell instances in Google Cloud Platform (GCP), especially for applications using Vertex AI and TensorFlow, there are some important factors to keep in mind. This is particularly true when integrating new extended Python/Kotlin functions and distributed Java/Dart function calls.
1. GCP AI/ML Qwiklabs: These interactive tutorials demonstrate how to use Google Cloud’s AI and ML services through practical, real-world scenarios. You’ll engage in tasks such as training models, making inferences, and constructing complete workflows that include data preprocessing and predictions.
2. Vertex AI: A complete platform for building, deploying, and managing AI and ML models, featuring:
- Training: Developing and training models using various algorithms.
- Deployment: Serving trained models for predictions.
- Model Management: Tracking and managing model versions throughout their lifecycle.
3. TensorFlow: An open-source framework for creating and deploying machine learning models on GCP.
4. Cloud Shell: A web-based shell for running commands and managing resources using tools like gcloud.
For more information, please refer to the following resources:
1. Official Google Cloud Documentation:
2. Qwiklabs Specific Resources:
3. Additional Resources:
I hope the above information is helpful.
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