Vertex AI Pipelines + Cloud Build: CI/CD for ML on GCP with Terraform 🔁

📰 Dev.to · Suhas Mallesh

Learn to automate ML workflows with Vertex AI Pipelines and Cloud Build on GCP using Terraform for scalable CI/CD

intermediate Published 24 Apr 2026
Action Steps
  1. Create a Vertex AI Pipelines project using Terraform to define infrastructure as code
  2. Configure Cloud Build to automate ML workflow triggers
  3. Define an ML DAG using Vertex AI Pipelines to orchestrate model training and deployment
  4. Use Terraform to manage and version control Cloud Build and Vertex AI Pipelines configurations
  5. Test and deploy the automated ML workflow using Cloud Build and Vertex AI Pipelines
Who Needs to Know This

Data scientists and ML engineers can benefit from this workflow to streamline their ML pipelines, while DevOps teams can use Terraform to manage infrastructure as code

Key Insight

💡 Vertex AI Pipelines and Cloud Build can be used together to automate ML workflows and improve scalability

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🚀 Automate ML workflows with Vertex AI Pipelines + Cloud Build on GCP using Terraform! #MLOps #GCP
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