1
Launch a Pipeline
Start a first data pipeline quickly using the free trial available on the Mage AI platform.
2
Create a Project
Set up a project that acts like a GitHub repository to organize your pipeline code.
3
Build Pipeline Blocks
Develop pipeline blocks using Python, SQL, or R code and define dependencies between them.
4
Add Data Integrations
Connect data sources and destinations using pre-built or custom connectors to sync data.
5
Schedule and Monitor
Use the user interface to schedule pipeline runs and monitor performance with dashboards and alerts.