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Course Outline

Introduction to Vertex AI and Machine Learning Platforms

  • Survey of artificial intelligence and machine learning workflows
  • Familiarization with Google Cloud Vertex AI
  • Comprehending the architecture and core components of Vertex AI
  • Examining the contribution of Vertex AI to machine learning development and deployment

Establishing the Vertex AI Environment

  • Setting up a Google Cloud project for Vertex AI
  • Comprehending workspaces, resource allocation, and permission structures
  • Arranging datasets and development environments
  • Getting acquainted with Vertex AI tools and user interfaces

Machine Learning Fundamentals via Vertex AI

  • Grasping the concepts of supervised learning
  • Overview of regression and classification models
  • Readying data for integration into machine learning workflows
  • Assessing model performance and accuracy

Natural Language Processing (NLP) within Vertex AI

  • Introduction to core NLP principles
  • Understanding text-based machine learning applications
  • Preparation and processing of text data
  • Exploring the NLP features available in Vertex AI

Developing and Training Machine Learning Models

  • Preparing training code specifically for Vertex AI
  • Containerizing machine learning training applications
  • Setting up training jobs
  • Executing and overseeing model training processes

Deployment of Machine Learning Models

  • Understanding the workflow for model deployment
  • Creation of model endpoints
  • Deploying trained models to generate predictions
  • Administration of deployed models and associated resources

Monitoring and Troubleshooting Vertex AI Solutions

  • Observing training and deployment activities
  • Pinpointing frequent configuration challenges
  • Resolving issues related to model execution
  • Implementing best practices for dependable ML workflows

Practical Workshop and Course Summary

  • Constructing an end-to-end machine learning workflow using Vertex AI
  • Training and deploying a sample model
  • Revisiting the primary features and capabilities of Vertex AI
  • Discussing future steps for advanced machine learning development

Requirements

  • Familiarity with machine learning concepts

Target Audience

  • Software engineers
  • Enthusiasts of machine learning
 7 Hours

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