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 key components of Vertex AI
• Exploring the strategic role of Vertex AI in machine learning development and deployment

Setting Up the Vertex AI Environment

• Configuring a Google Cloud project specifically for Vertex AI
• Understanding workspaces, resource allocation, and permission management
• Preparing datasets and setting up development environments
• Navigating the various Vertex AI tools and user interfaces

Machine Learning Fundamentals with Vertex AI

• Understanding core concepts of supervised learning
• An overview of regression and classification models
• Preparing data effectively for machine learning workflows
• Evaluating model performance and accuracy metrics

Natural Language Processing (NLP) with Vertex AI

• Introduction to essential NLP concepts
• Understanding text-based machine learning applications
• Preparing and processing text data for analysis
• Exploring the advanced NLP capabilities within Vertex AI

Building and Training Machine Learning Models

• Preparing training code compatible with Vertex AI
• Containerizing machine learning training applications
• Configuring optimal training jobs
• Running and monitoring model training processes in real-time

Deploying Machine Learning Models

• Understanding streamlined model deployment workflows
• Creating efficient model endpoints
• Deploying trained models for live predictions
• Managing deployed models and associated resources

Monitoring and Troubleshooting Vertex AI Solutions

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

Practical Workshop and Course Review

• Building a complete end-to-end machine learning workflow using Vertex AI
• Training and deploying a sample model from scratch
• Reviewing key Vertex AI features and capabilities
• Discussing next steps for advanced machine learning development