Google Vertex AI is a machine learning platform that lets you train and deploy ML models and AI applications, and customize large language models for use in your AI-powered applications. Vertex AI combines data engineering, data science, and ML engineering workflows, enabling your teams to collaborate using a common toolset and scale your applications using the benefits of Google Cloud.
To get started with Vertex AI, go to https://console.cloud.google.com/vertex-ai and create a login, or login with your Google account.
There are different ways to learn Google Vertex AI, depending on your level of expertise and learning goals. Some of the best resources are:
- The official Vertex AI documentation, which provides tutorials, guides, and reference materials for various features and functionalities of Vertex AI.
- The Coursera course “Introduction to Vertex AI”, which covers the basics of Vertex AI, such as how to create datasets, train models, get predictions, and use MLOps tools.
- The Google Cloud Skills Boost program, which offers hands-on labs and learning paths for Vertex AI, such as how to use Vertex AI Studio, Generative AI, and Model Garden.
Introduction to Vertex AI: https://cloud.google.com/vertex-ai/docs/start/introduction-unified-platform
New to ML: Learning path on Vertex AI: https://cloud.google.com/blog/topics/developers-practitioners/new-ml-learning-path-vertex-ai
Train and use your own models: https://cloud.google.com/vertex-ai/docs/training-overview
Coursera: https://www.coursera.org/learn/introduction-to-vertex-ai
