Learning Vertex AI: MLOps with Google Cloud

Offered By: LinkedIn Learning

Tags

Machine Learning Courses Google Cloud Platform (GCP) Courses AutoML Courses MLOps Courses Vertex AI Courses Feature Engineering Courses Model Deployment Courses Model Training Courses Tensorboard Courses

Course Description

Overview

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

Syllabus

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?

Taught by

Soham Chatterjee and Archana Vaidheeswaran

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