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Course Outline

Introduction to Vertex AI and Machine Learning Platforms

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

Setting Up the Vertex AI Environment

  • Configuring a Google Cloud project for Vertex AI
  • Understanding workspaces, resources, and permissions
  • Preparing datasets and development environments
  • Navigating Vertex AI tools and interfaces

Machine Learning Fundamentals with Vertex AI

  • Understanding supervised learning concepts
  • Overview of regression and classification models
  • Preparing data for machine learning workflows
  • Evaluating model performance and accuracy

Natural Language Processing (NLP) with Vertex AI

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

Building and Training Machine Learning Models

  • Preparing training code for Vertex AI
  • Containerizing machine learning training applications
  • Configuring training jobs
  • Running and monitoring model training processes

Deploying Machine Learning Models

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

Monitoring and Troubleshooting Vertex AI Solutions

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

Practical Workshop and Course Review

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

Requirements

  • Knowledge of machine learning

Audience

  • Software engineers
  • Machine learning enthusiasts
 7 Hours

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