About Vertex AI

Vertex AI is a comprehensive suite of machine learning tools provided by Google Cloud that allows users to build, deploy, and scale ML models faster and more efficiently. It offers a unified platform for both pre-trained and custom models, enabling users to accelerate their machine learning projects.

Here are four key features of Vertex AI

  1. One AI platform, every ML tool you need: Vertex AI offers a wide variety of APIs, foundation models, and open source models through Model Garden. It allows users to kick off a variety of workflows including using models directly, tuning models in Generative AI Studio, or deploying models to a data science notebook.
  2. End-to-end MLOps: Vertex AI provides purpose-built tools for data scientists and ML engineers to automate, standardize, and manage ML projects throughout the entire development life cycle. It allows users to easily train, test, monitor, deploy, and govern ML models at scale.
  3. Data and AI integration: Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. Users can create and execute machine learning models in BigQuery using standard SQL queries or export datasets from BigQuery directly into Vertex AI Workbench and run their models from there.
  4. Low-code and no-code tooling: Vertex AI offers low-code tooling and up-training capabilities so practitioners with a wide variety of expertise can leverage machine learning workloads. With Generative AI Studio, developers can tune and deploy foundation models for their use cases via a simple UI. Developers can also easily call upon pre-trained models to quickly solve real-world problems.