Continuous Deployment can be a roadblock in the MLOps lifecycle, often requiring custom pipelines and complex configurations. Solution? The new integrations of Google Cloud Deploy and Vertex AI revolutionizes machine learning (ML) deployment by automating the entire process, and makes it easy to roll back through idempotent releases. The groundbreaking integration of Cloud Deploy and Vertex AI lets you test, validate, and deploy your ML models in minutes, without writing a single line of code.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Evaluating the quality of a model’s responses relative to other models is a top challenge in deployment. Vertex AI makes this easier with new evaluation capabilities that help you assign a score to the quality of a model response. In this session, you will learn how to use evaluation tooling, best practices to set up your task-based evaluation framework, and how to use explanations to build trust in your evaluation.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.