Vertex AI Training Course

Introduction to Vertex AI and Machine Learning Platforms

• An overview of artificial intelligence and machine learning workflows
• Familiarization with Google Cloud Vertex AI
• An analysis of Vertex AI architecture and its core components
• An examination of Vertex AI’s role in both machine learning development and deployment

Configuring the Vertex AI Environment

• Setting up a Google Cloud project specifically for Vertex AI
• Clarifying the nature of workspaces, resources, and access permissions
• Preparing datasets and establishing suitable development environments
• Navigating the various tools and interfaces within Vertex AI

Machine Learning Fundamentals via Vertex AI

• Exploring the principles of supervised learning
• An introduction to regression and classification models
• Structuring data effectively for machine learning workflows
• Assessing model performance and accuracy metrics

Natural Language Processing (NLP) with Vertex AI

• Foundations of NLP concepts
• Understanding applications of text-based machine learning
• Methods for preparing and processing text data
• Discovering the NLP features and capabilities within Vertex AI

Building and Training Machine Learning Models

• Developing training code compatible with Vertex AI
• Containerizing machine learning training applications for portability
• Configuring specific parameters for training jobs
• Executing and overseeing model training processes

Deploying Machine Learning Models

• Understanding the workflow for model deployment
• Establishing model endpoints
• Deploying trained models to enable real-time predictions
• Oversight and management of deployed models and associated resources

Monitoring and Troubleshooting Vertex AI Solutions

• Observing training and deployment activities for optimal performance
• Recognizing and addressing common configuration challenges
• Resolving issues related to model execution
• Implementing best practices to ensure reliable ML workflows

Practical Workshop and Course Review

• Constructing a complete machine learning workflow using Vertex AI
• Training and deploying a representative sample model
• Reflecting on the key features and capabilities of Vertex AI
• Exploring pathways for advanced machine learning development