Learning Vertex AI: MLOps with Google Cloud

Learn how to train, deploy, and manage machine learning models using built-in tools in Vertex AI.

Introduction

• Learning Vertex AI
• What you should know

1. Introduction to MLOps

• MLOps lifecycle: ML development
• MLOps lifecycle: Training
• MLOps lifecycle: Deployment
• Vertex AI walkthrough

2. Feature Engineering

• Vertex AI feature store
• Vertex AI data labeling

3. Training and Hyperparameter

• Vertex AI AutoML
• Vertex AI experiments
• Vertex AI model registry
• Vertex AI training

4. Model Serving and Deployment

• Vertex AI prediction
• Vertex AI TensorBoard
• Vertex AI endpoints

5. Model Monitoring and Management

• Vertex AI model monitoring
• Vertex AI pipelines

6. Deploy Your Project Using Vertex AI

• Challenge: Deploy a project
• Solution: Deploy a project

Conclusion

• Vertex AI vs. other MLOps platforms
• What next?