Merge pull request #97 from arangoml/colab-link

Added APC colab notebook link.

README.md

@@ -3,7 +3,7 @@
 ArangoML Pipeline is a common and extensible Metadata Layer for Machine Learning Pipelines which allows Data Scientists and [DataOps](https://en.wikipedia.org/wiki/DataOps) to manage all information related to their ML pipeline in one place.
 
 **News:**
-[ArangoML Pipeline Cloud](https://www.arangodb.com/2020/01/arangoml-pipeline-cloud-manage-machine-learning-metadata/) is offering a no-setup, free-to-try managed service for ArangpML Pipeline.
+[ArangoML Pipeline Cloud](https://www.arangodb.com/2020/01/arangoml-pipeline-cloud-manage-machine-learning-metadata/) is offering a no-setup, free-to-try managed service for ArangpML Pipeline. A [ArangoML Pipeline Cloud  tutorial](https://colab.research.google.com/github/arangoml/arangopipe/blob/master/examples/Arangopipe_with_TensorFlow_Beginner_Guide.ipynb#) is also available without any installation or Signup: 
 
 ## Introduction
 When productizing Machine Learning Pipelines (e.g., [TensorFlow Extended](https://www.tensorflow.org/tfx/guide) or [Kubeflow](https://www.kubeflow.org/))