Vertex AI Training Course

Introduction to Vertex AI and Machine Learning Platforms

• A comprehensive overview of artificial intelligence and machine learning workflows
• An introduction to Google Cloud Vertex AI
• An analysis of Vertex AI architecture and its key components
• An exploration of Vertex AI's role in both machine learning development and deployment

Establishing the Vertex AI Environment

• Setting up a Google Cloud project specifically for Vertex AI
• Understanding the management of workspaces, resources, and access permissions
• Preparing datasets and setting up development environments
• Navigating the various tools and interfaces available in Vertex AI

Machine Learning Fundamentals with Vertex AI

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

Natural Language Processing (NLP) with Vertex AI

• An introduction to the fundamental concepts of NLP
• Understanding the applications of text-based machine learning
• Techniques for preparing and processing textual data
• An exploration of NLP capabilities integrated within Vertex AI

Building and Training Machine Learning Models

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

Deploying Machine Learning Models

• Understanding the standard workflows for model deployment
• The process of creating model endpoints
• Deploying trained models to enable real-time predictions
• Managing deployed models and associated resources

Monitoring and Troubleshooting Vertex AI Solutions

• Overseeing training and deployment activities in real-time
• Identifying and resolving common configuration issues
• Troubleshooting potential model execution problems
• Implementing best practices to ensure reliable ML workflows

Practical Workshop and Course Review

• Constructing a complete end-to-end machine learning workflow using Vertex AI
• Training and deploying a sample model to demonstrate practical skills
• Reviewing the key features and capabilities of Vertex AI
• Discussing future steps for advanced machine learning development