Real-world examples
Build projects that reflect your actual workflows and production use cases.
Learn how to leverage Dagster and build scalable, production-ready data platforms with ease.
Enroll in Dagster UniversityDagster University provides a structured, hands-on learning path that helps users build intuition around asset-based orchestration.
It bridges the gap between conceptual understanding and real-world implementation, accelerating onboarding and deepening long-term proficiency.
Explore courses covering everything from Dagster fundamentals to best practices for integrating with popular tools.
Enroll in Dagster University
In this course, learn the basics of Dagster, including how to represent a data pipeline as the data assets it produces and orchestrate a pipeline with Dagster.

Learn how to build Dagster applications faster using AI-driven workflows. You'll use Dagster's AI tools and skills to scaffold pipelines, write quality code, and ship data products with confidence while still learning the fundamentals.

Learn how to integrate and orchestrate dbt projects with Dagster. You'll load dbt models into Dagster as assets, build dependencies, and ready your project for production deployment.

In this course, learn best practices for testing, including unit tests, mocks, integration tests and applying them to Dagster.

Learn how to ingest data to power your assets. You’ll build custom pipelines and see how to use Embedded ETL and Dagster Components to build out your data platform.
Build projects that reflect your actual workflows and production use cases.
Get up to speed quickly with guided, hands-on-lessons that reinforce core Dagster concepts.
Go beyond the basics by learning how Dagster’s asset model improves data engineering.
Adopt patterns and techniques that reflect Dagster’s design philosophy—right from the start.
Advance your skills on your terms with flexible modules for both solo learners and teams.
“The dedication and effort the team put into creating comprehensive content are evident. Every module resonates with quality, making it an enriching learning experience. Highly recommended for anyone diving into Dagster.”