Vertex AI Training Course

Introduction to Vertex AI and Machine Learning Platforms

• An overview of artificial intelligence and machine learning workflows
• Introduction to Google Cloud Vertex AI
• Exploring the architecture and key components of Vertex AI
• Understanding the role of Vertex AI in both machine learning development and deployment

Setting Up the Vertex AI Environment

• Configuring Google Cloud projects specifically for Vertex AI
• Understanding the management of workspaces, resources, and permissions
• Preparing datasets and establishing development environments
• Navigating the various Vertex AI tools and user interfaces

Machine Learning Fundamentals with Vertex AI

• Comprehending the concepts of supervised learning
• An overview of regression and classification models
• Strategies for preparing data for machine learning workflows
• Techniques for evaluating model performance and accuracy

Natural Language Processing (NLP) with Vertex AI

• Introduction to core NLP concepts
• Understanding text-based machine learning applications
• Methods for preparing and processing text data
• Exploring the specific NLP capabilities available within Vertex AI

Building and Training Machine Learning Models

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

Deploying Machine Learning Models

• Understanding the various model deployment workflows
• Creating effective model endpoints
• Deploying trained models to serve predictions
• Managing deployed models and associated resources

Monitoring and Troubleshooting Vertex AI Solutions

• Monitoring both training and deployment activities
• Identifying and resolving common configuration issues
• Troubleshooting problems related to model execution
• Applying industry 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 in a practical setting
• Reviewing the key features and capabilities of Vertex AI
• Discussing pathways for advanced machine learning development