Orchestrate ML Workflows with Vertex AI Pipelines

About this course

Discover how to orchestrate ML workflows on Google Cloud. Explore the business drivers for orchestration and the technical architecture of Vertex AI Pipelines. Learn to create MLOps pipelines using a flexible, hybrid approach: utilize the no-code Template Gallery or construct custom workflows with the Kubeflow Pipelines (KFP) SDK and Google's pre-built components. Finally, accelerate your workflows using the Data Science Agent—an AI-powered collaborator that automates pipeline code generation.

What you will learn

• Explain the use cases that drive the adoption of ML Orchestration.
• Describe how Vertex AI drives MLOps automation, reproducibility, and scaling.
• Implement production-grade pipelines using Vertex AI’s no-code Template Gallery.
• Build hybrid pipeline workflows with Kubeflow and pre-built GCP components.