diff --git a/examples/vertex_mlops_enterprise/build/pipeline-deployment-tfx.yaml.TEMPLATE b/examples/vertex_mlops_enterprise/build/pipeline-deployment-tfx.yaml.TEMPLATE
index 7e55ed484f9..02f94833ce1 100644
--- a/examples/vertex_mlops_enterprise/build/pipeline-deployment-tfx.yaml.TEMPLATE
+++ b/examples/vertex_mlops_enterprise/build/pipeline-deployment-tfx.yaml.TEMPLATE
@@ -115,8 +115,8 @@ steps:
   
   
 # Upload compiled pipeline to GCS.
-- name: 'gcr.io/cloud-builders/gsutil'
-  args: ['cp', '$_PIPELINE_NAME.json', '$_PIPELINES_STORE']
+- name: 'gcr.io/cloud-builders/gcloud'
+  args: ['storage', 'cp', '$_PIPELINE_NAME.json', '$_PIPELINES_STORE']
   dir: '$_WORKDIR'
   id:  'Upload Pipeline to GCS'
   waitFor: ['Compile Pipeline']
diff --git a/examples/vertex_mlops_enterprise/doc/03-MLOPS.md b/examples/vertex_mlops_enterprise/doc/03-MLOPS.md
index c6db45dc094..84cb37ce851 100644
--- a/examples/vertex_mlops_enterprise/doc/03-MLOPS.md
+++ b/examples/vertex_mlops_enterprise/doc/03-MLOPS.md
@@ -31,7 +31,7 @@ BUCKET=gs://$PROJECT/data/credit_cards*
 #Extract & Load
 bq extract --project_id $PROJECT --destination_format PARQUET $SRC_TABLE  $BUCKET
 bq load    --project_id $PROJECT --source_format=PARQUET --replace=true $DST_TABLE $BUCKET 
-gsutil rm $BUCKET
+gcloud storage rm $BUCKET
 ```
 
 As next steps, we will create the base table we will use for the ML process:
diff --git a/examples/vertex_mlops_enterprise/doc/create_tables.sh b/examples/vertex_mlops_enterprise/doc/create_tables.sh
index 1af9f3e1b01..061bcef9123 100644
--- a/examples/vertex_mlops_enterprise/doc/create_tables.sh
+++ b/examples/vertex_mlops_enterprise/doc/create_tables.sh
@@ -28,7 +28,7 @@ ENDPOINT="$REGION-aiplatform.googleapis.com"
 #Extract & Load
 bq extract --project_id "$PROJECT" --destination_format PARQUET "$SRC_TABLE"  "$BUCKET"
 bq load    --project_id "$PROJECT" --source_format=PARQUET --replace=true "$DST_TABLE" "$BUCKET" 
-gsutil rm "$BUCKET"
+gcloud storage rm "$BUCKET"
 
 
 sql_script="CREATE OR REPLACE TABLE \`${PROJECT}.${BQ_DATASET_NAME}.${ML_TABLE}\`