Description

Introduction

Google Vertex AI is a fully managed, end-to-end machine learning (ML) platform built on Google Cloud. It streamlines the entire ML lifecycle by integrating data preparation, training, deployment, and monitoring into a single platform. Vertex AI supports both AutoML for no-code users and custom model training for developers and data scientists, making ML development faster, more accessible, and production-ready.

Prerequisites

• Basic knowledge of machine learning concepts (e.g., models, training, inference)

• Familiarity with Python programming

• Understanding of Google Cloud Platform (GCP) basics

• Optional: Experience with Jupyter Notebooks, TensorFlow, or PyTorch

Table of Contents

1. What is Google Vertex AI?
   1.1 Evolution from AutoML and AI Platform
   1.2 Key Advantages of Vertex AI
   1.3 Use Cases Across Industries

2. Core Components Overview
   2.1 Vertex AI Workbench
   2.2 Training: AutoML & Custom Models
   2.3 Model Registry and Endpoints
   2.4 Pipelines for ML Workflows
   2.5 Feature Store for Reusable Data
   2.6 Vertex AI Prediction and Deployment
   2.7 Model Monitoring and Logging

3. Working with Vertex AI
   3.1 Accessing Vertex AI via GCP Console
   3.2 Creating and Managing Notebooks
   3.3 Running AutoML Model Training
   3.4 Deploying and Testing a Model

4. Integrations and Extensions
   4.1 Connecting with BigQuery and Cloud Storage
   4.2 Using Pre-trained Models and APIs
   4.3 Integrating with Vertex AI Search and GenAI Studio

5. Cost, Security, and Best Practices
   5.1 Understanding Pricing Structures
   5.2 Managing IAM Roles and Permissions
   5.3 Governance, Monitoring, and Best Practices

6. Next Steps
   6.1 Exploring MLOps with Vertex AI Pipelines
   6.2 Certifications and Hands-on Labs
   6.3 Resources for Continued Learning

Conclusion

Vertex AI simplifies and accelerates machine learning workflows by combining Google’s powerful tools in one cohesive platform. It supports users from experimentation to enterprise-scale deployment, making it ideal for both beginners and advanced practitioners.