docs: Update references to containers and notebook samples. (#890)

fixes #838 #678

Author: sasha-gitg

README.rst

@@ -80,7 +80,7 @@ Overview
 ~~~~~~~~
 This section provides a brief overview of the Vertex SDK for Python. You can also reference the notebooks in `vertex-ai-samples`_ for examples.
 
-.. _vertex-ai-samples: https://github.com/GoogleCloudPlatform/ai-platform-samples/tree/master/ai-platform-unified/notebooks/unofficial/sdk
+.. _vertex-ai-samples: https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/notebooks/community/sdk
 
 Importing
 ^^^^^^^^^
@@ -201,9 +201,9 @@ It must write the model artifact to the environment variable populated by the tr
   job = aiplatform.CustomTrainingJob(
       display_name="my-training-job",
       script_path="training_script.py",
-      container_uri="gcr.io/cloud-aiplatform/training/tf-cpu.2-2:latest",
+      container_uri="us-docker.pkg.dev/vertex-ai/training/tf-cpu.2-2:latest",
       requirements=["gcsfs==0.7.1"],
-      model_serving_container_image_uri="gcr.io/cloud-aiplatform/prediction/tf2-cpu.2-2:latest",
+      model_serving_container_image_uri="us-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.2-2:latest",
   )
 
   model = job.run(my_dataset,
@@ -266,7 +266,7 @@ To upload a model:
   model = aiplatform.Model.upload(
       display_name='my-model',
       artifact_uri="gs://python/to/my/model/dir",
-      serving_container_image_uri="gcr.io/cloud-aiplatform/prediction/tf2-cpu.2-2:latest",
+      serving_container_image_uri="us-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.2-2:latest",
   )
 
 To get a model: