Getting Started

Welcome to Michelangelo AI! Whether you're evaluating the platform or ready to build your first ML pipeline, you're in the right place.

Choose your path

I want to understand what Michelangelo AI does

Start here if you're evaluating the platform or want to learn the key concepts before diving in. Takes about 15 minutes.

• Overview — What Michelangelo AI is, how it works, and how familiar ML tools map to it
• Core Concepts and Key Terms — Projects, workflows, tasks, and the key terms you'll encounter

I want to set up and start building

Ready to get hands-on? Follow these guides in order. You'll have a working local environment in about 20 minutes.

1. Sandbox Setup — Set up a local Michelangelo AI cluster with all services running (~20 min)
2. Getting Started with Pipelines — Build and run your first ML pipeline (~30 min)
3. Browse Examples — 9 end-to-end workflows: XGBoost, BERT, GPT fine-tuning, batch inference, and more

Reference

• Sandbox Ports and Endpoints — Service ports and URLs for your local sandbox
• Python IDE Setup — Configure VS Code, Cursor, or PyCharm for the Michelangelo AI SDK

For contributors

Building on Michelangelo AI's core platform? These guides cover the contributor development workflow:

• Go and Bazel Setup — IDE setup for Go backend development
• Custom Docker Images — Build and test images from feature branches