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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 the architecture and core components of Vertex AI.
  • Exploring the role of Vertex AI in developing and deploying machine learning solutions.

Setting Up the Vertex AI Environment

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

Machine Learning Fundamentals with Vertex AI

  • Understanding concepts of supervised learning.
  • 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 prediction tasks.
  • Managing deployed models and associated resources.

Monitoring and Troubleshooting Vertex AI Solutions

  • Monitoring training and deployment activities.
  • Identifying common configuration issues.
  • Troubleshooting problems related to model execution.
  • Applying best practices for reliable machine learning workflows.

Practical Workshop and Course Review

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

Requirements

  • Foundational knowledge of machine learning

Audience

  • Software engineers
  • Enthusiasts of machine learning
 7 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 1300 € + VAT*

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