Vertex AI Training Course

Introduction to Vertex AI and Machine Learning Platforms

• An overview of artificial intelligence and machine learning workflows
• An introduction to Google Cloud Vertex AI
• Understanding the architecture and core components of Vertex AI
• Examining the role of Vertex AI in machine learning development and deployment

Setting Up the Vertex AI Environment

• Configuring a Google Cloud project for Vertex AI
• Comprehending workspaces, resources, and permission structures
• Preparing datasets and development environments
• Navigating Vertex AI tools and interfaces

Machine Learning Fundamentals with Vertex AI

• Exploring supervised learning concepts
• An overview of regression and classification models
• Data preparation for machine learning workflows
• Assessing model performance and accuracy

Natural Language Processing (NLP) with Vertex AI

• An introduction to NLP concepts
• Understanding text-based machine learning applications
• Preparing and processing text data
• Discovering NLP capabilities within Vertex AI

Building and Training Machine Learning Models

• Preparing training code for Vertex AI
• Containerizing machine learning training applications
• Configuring training jobs
• Executing and monitoring model training processes

Deploying Machine Learning Models

• Understanding model deployment workflows
• Creating model endpoints
• Deploying trained models for prediction tasks
• Managing deployed models and associated resources

Monitoring and Troubleshooting Vertex AI Solutions

• Monitoring training and deployment activities
• Identifying common configuration issues
• Troubleshooting model execution problems
• Implementing best practices for reliable ML workflows

Practical Workshop and Course Review

• Constructing a complete machine learning workflow using Vertex AI
• Training and deploying a sample model
• Reviewing key Vertex AI features and capabilities
• Discussing next steps for advanced machine learning development