kubeflow
/
pipelines
mirror of https://github.com/kubeflow/pipelines.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

chore: correct broken links in README.md (#11896) 

* Update README.md

Signed-off-by: Shekhar Prasad Rajak <5774448+Shekharrajak@users.noreply.github.com>

* Part 3 link reverted

Co-authored-by: Helber Belmiro <helber.belmiro@gmail.com>
Signed-off-by: Shekhar Prasad Rajak <5774448+Shekharrajak@users.noreply.github.com>

---------

Signed-off-by: Shekhar Prasad Rajak <5774448+Shekharrajak@users.noreply.github.com>
Co-authored-by: Helber Belmiro <helber.belmiro@gmail.com>
This commit is contained in:
Shekhar Prasad Rajak 2025-05-09 20:29:41 +05:30 committed by GitHub
parent e276474f97
commit 18bed6c70d
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
README.md
View File

@ -62,8 +62,8 @@ Details about the KFP Architecture can be found at [Architecture.md](docs/Archit
* [Getting started with Kubeflow Pipelines](https://cloud.google.com/blog/products/ai-machine-learning/getting-started-kubeflow-pipelines) (By Amy Unruh)
* How to create and deploy a Kubeflow Machine Learning Pipeline (By Lak Lakshmanan)
* [Part 1: How to create and deploy a Kubeflow Machine Learning Pipeline](https://towardsdatascience.com/how-to-create-and-deploy-a-kubeflow-machine-learning-pipeline-part-1-efea7a4b650f)
* [Part 2: How to deploy Jupyter notebooks as components of a Kubeflow ML pipeline](https://towardsdatascience.com/how-to-deploy-jupyter-notebooks-as-components-of-a-kubeflow-ml-pipeline-part-2-b1df77f4e5b3)
* [Part 1: How to create and deploy a Kubeflow Machine Learning Pipeline](https://medium.com/data-science/how-to-create-and-deploy-a-kubeflow-machine-learning-pipeline-part-1-efea7a4b650f)
* [Part 2: How to deploy Jupyter notebooks as components of a Kubeflow ML pipeline](https://medium.com/data-science/how-to-deploy-jupyter-notebooks-as-components-of-a-kubeflow-ml-pipeline-part-2-b1df77f4e5b3)
* [Part 3: How to carry out CI/CD in Machine Learning (“MLOps”) using Kubeflow ML pipelines](https://medium.com/google-cloud/how-to-carry-out-ci-cd-in-machine-learning-mlops-using-kubeflow-ml-pipelines-part-3-bdaf68082112)
## Acknowledgments