Selected Template
ML E2E Pipeline
A tool that builds end2end ML pipelines using cross-domain knowledge that many data scientists do not have.
It is a perfect suite for data science projects with its built-in CI/CD configuration either for standard tasks or multiple tools. This pipeline utility functions are here to define resource needs for your pipeline operators.
This Blueprints contains an End2End pipeline featuring data versioning, model validation, CI/CD, model deployment, and model testing.
Benefits of ML E2E Pipeline through the Aliz Intelligence Platform
Quick start on GCP with a ready-to-use code and project
Track models with Managed Experiment Tracking and Model Registry service
Publish models securely on Platform infrastructure
IAM: manage roles and permissions on user and domain level, or access with service account
Manage multiple environments (dev, testing, staging, etc.), trace activity and changes
Handle blueprint versions
Automatic PR update on new version (security patch)
Least privilege principle security (list of needed permissions to be able to provision it per blueprint)
About the solution
What are the benefits of ML E2E Pipeline?
Compliance and transparency
The ML E2E blueprint includes industry best practices in the form of ready-to-use codes or templates delivered to you, on your infrastructure, through seamless deployment for sustainable quality.
Composable business
The platform allows you to standardize workflows. Developing the models with maximum efficiency will not interfere with integration and will manage the risk of a lower ROI due to productizing and integration.
Effortless quality assurance
Applying best practices in production requires continual improvement and support. Leveraging on the blueprint repository of Aliz Intelligence Platform ensures that the technology is always up to date.
What’s under the hood?
Things you don't need to care about.
CI/CD
The ML E2E blueprint template does most of the work for you. Customize the template, using out-of-the-box tests, formatting, linting, static type checking, and CI/CD pipelines.
From experimentation to deployment
Our ML E2E project blueprint covers everything starting from the experimentation stage moving right through pipelines to model deployment.
API and serving
Fully integrated with AIP’s experiment management, pipeline, and model-serving tools, the ML E2E blueprint provides a seamless experience.