> For the complete documentation index, see [llms.txt](https://docs.zenml.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zenml.io/user-guides/tutorial.md).

# Tutorials

- [Managing scheduled pipelines](https://docs.zenml.io/user-guides/tutorial/managing-scheduled-pipelines.md): A step-by-step tutorial on how to create, update, and delete scheduled   pipelines in ZenML
- [Trigger pipelines from external systems](https://docs.zenml.io/user-guides/tutorial/trigger-pipelines-from-external-systems.md): A step-by-step tutorial on effectively triggering your ZenML pipelines from external systems
- [Hyper-parameter tuning](https://docs.zenml.io/user-guides/tutorial/hyper-parameter-tuning.md): Running a hyperparameter tuning trial with ZenML.
- [Inspecting past pipeline runs](https://docs.zenml.io/user-guides/tutorial/fetching-pipelines.md): Inspecting a finished pipeline run and its outputs.
- [Replaying runs and steps](https://docs.zenml.io/user-guides/tutorial/replaying-runs-steps.md): Re-run pipelines or individual steps using artifacts from a previous execution.
- [Train with GPUs](https://docs.zenml.io/user-guides/tutorial/distributed-training.md): Train ZenML pipelines on GPUs and scale out with 🤗 Accelerate.
- [Running notebooks remotely](https://docs.zenml.io/user-guides/tutorial/run-remote-notebooks.md): Leveraging Jupyter notebooks with ZenML.
- [Managing machine learning datasets](https://docs.zenml.io/user-guides/tutorial/datasets.md): Model datasets using simple abstractions.
- [Handling big data](https://docs.zenml.io/user-guides/tutorial/manage-big-data.md): Learn about how to manage big data with ZenML.


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