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Google Cloud Platform for Machine Learning Essential Training

via LinkedIn Learning

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Overview

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Learn how to design machine learning solutions with Google Cloud Platform.

Syllabus

Introduction

GCP and Machine Learning
What you should know
About using cloud services

1. Vertex AI Studio

Use Vertex AI Model Garden
Design and test language model prompts
Design and test multimodal model prompts
Test image model generative output
Design and test speech generative output
Challenge: Select and test GenAI models
Solution: Select and test GenAI models

2. Vertex AI Notebooks

Understand available services
Use TensorFlow example: MNIST
Use managed and user-managed notebooks
Update notebook instance
Use notebook instances
Challenge: Setup notebook
Solution: Setup notebook

3. Model Development

Understand Vector Search
Use Vector Search
Understand Feature Store
Challenge: Create a Feature Store
Solution: Create a Feature Store

4. Model Deployment

Use the model registry
Register a model in the registry
Review batch and online endpoints
Understand model pipeline templates
Challenge: Run and evaluate a model pipeline job
Solution: Run and evaluate a model pipeline job

Conclusion

Next steps

Taught by

Lynn Langit

Reviews

4.7 rating at LinkedIn Learning based on 20 ratings

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