Vertex AI Training Course

Introduction to Vertex AI and Machine Learning Platforms

• Overview of artificial intelligence and machine learning workflows.
• Introduction to the Google Cloud Vertex AI platform.
• Understanding the architecture and key components of Vertex AI.
• Exploring how Vertex AI supports machine learning development and deployment.

Setting Up the Vertex AI Environment

• Configuring a Google Cloud project specifically for Vertex AI.
• Understanding the structure of workspaces, resources, and permission models.
• Preparing datasets and setting up development environments.
• Navigating the various tools and interfaces within Vertex AI.

Machine Learning Fundamentals with Vertex AI

• Exploring the core concepts of supervised learning.
• An overview of regression and classification model types.
• Techniques for preparing data for machine learning workflows.
• Methods for evaluating model performance and accuracy.

Natural Language Processing (NLP) with Vertex AI

• Introduction to fundamental NLP concepts.
• Understanding applications of text-based machine learning.
• Strategies for preparing and processing text data.
• Exploring the specific NLP capabilities offered by Vertex AI.

Building and Training Machine Learning Models

• Preparing training code for execution on Vertex AI.
• Containerizing machine learning training applications.
• Configuring specific training jobs.
• Running and actively monitoring model training processes.

Deploying Machine Learning Models

• Understanding the end-to-end model deployment workflow.
• Creating and managing model endpoints.
• Deploying trained models to serve predictions.
• Managing deployed models and associated resources.

Monitoring and Troubleshooting Vertex AI Solutions

• Monitoring activities related to training and deployment.
• Identifying 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 end-to-end.
• Reviewing key features and capabilities of Vertex AI.
• Discussing next steps for advanced machine learning development.