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Course Outline

Introduction to Google Vertex AI

  • Overview of Google Vertex AI capabilities and functionality
  • Key features and advantages for artificial intelligence model development
  • Understanding the Vertex AI operational workflow

Establishing Google Vertex AI

  • Creating a Google Cloud account and initializing Vertex AI services
  • Configuring the operating environment and managing computational resources
  • Exploring the Vertex AI interface and available tools

Developing Artificial Intelligence Models with Vertex AI

  • Data preparation and preprocessing methodologies
  • Training custom artificial intelligence models using Vertex AI
  • Evaluating model performance metrics and accuracy

Deploying and Managing Artificial Intelligence Models

  • Deployment strategies for artificial intelligence models on the Google Cloud Platform
  • Monitoring and maintaining deployed model infrastructure
  • Scaling artificial intelligence solutions to meet operational demand

Advanced Features and Optimization

  • Utilizing Vertex AI advanced tools and services for government applications
  • Optimizing model performance for specific operational use cases
  • Implementing best practices for model development and deployment

Real-World Applications and Case Studies

  • Exploring use cases of Vertex AI across various industries
  • Case studies demonstrating successful artificial intelligence implementations
  • Discussion on challenges encountered and lessons learned

Summary and Next Steps

Requirements

  • Foundational knowledge of artificial intelligence and machine learning principles
  • Proficiency in programming languages, with Python as the preferred option
  • Operational experience with cloud infrastructure, specifically Google Cloud Platform

Audience

  • Software engineers
  • Analytics specialists
  • Technology practitioners
 14 Hours

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