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feast-dev · Aug 30, 2021 · 5857a55 · 5857a55
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diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md
@@ -27,8 +27,8 @@
 ## Tutorials
 
 * [Overview](tutorials/tutorials-overview.md)
-* [Driver Ranking](tutorials/driver-ranking-with-feast.md)
-* [Fraud Detection](tutorials/fraud-detection.md)
+* [Driver ranking](tutorials/driver-ranking-with-feast.md)
+* [Fraud detection on GCP](tutorials/fraud-detection.md)
 
 ## How-to Guides
 

diff --git a/docs/tutorials/driver-ranking-with-feast.md b/docs/tutorials/driver-ranking-with-feast.md
@@ -5,7 +5,7 @@ description: >-
   ingested into Feast.
 ---
 
-# Driver Ranking
+# Driver ranking
 
 In this example you'll learn how to use some of the key functionality in Feast. The tutorial runs in both local mode and on the Google Cloud Platform \(GCP\). For GCP, you must have access to a GCP project already, including read and write permissions to BigQuery.
 

diff --git a/docs/tutorials/fraud-detection.md b/docs/tutorials/fraud-detection.md
@@ -5,7 +5,7 @@ description: >-
   transaction made by a user is fraudulent.
 ---
 
-# Fraud Detection
+# Fraud detection on GCP
 
 Throughout this tutorial, we’ll walk through the creation of a production-ready fraud prediction system. A prediction is made in real-time as the user makes the transaction, so we need to be able to generate a prediction at low latency.