agupta01 commented on code in PR #45726:
URL: https://github.com/apache/airflow/pull/45726#discussion_r1974472375


##########
providers/amazon/docs/operators/sagemakerunifiedstudio.rst:
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@@ -0,0 +1,61 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+    or more contributor license agreements.  See the NOTICE file
+    distributed with this work for additional information
+    regarding copyright ownership.  The ASF licenses this file
+    to you under the Apache License, Version 2.0 (the
+    "License"); you may not use this file except in compliance
+    with the License.  You may obtain a copy of the License at
+
+ ..   http://www.apache.org/licenses/LICENSE-2.0
+
+ .. Unless required by applicable law or agreed to in writing,
+    software distributed under the License is distributed on an
+    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+    KIND, either express or implied.  See the License for the
+    specific language governing permissions and limitations
+    under the License.
+
+===============================
+Amazon SageMaker Unified Studio
+===============================
+
+`Amazon SageMaker Unified Studio 
<https://docs.aws.amazon.com/sagemaker-unified-studio>`__ is a unified 
development experience that
+brings together AWS data, analytics, artificial intelligence (AI), and machine 
learning (ML) services.
+It provides a place to build, deploy, execute, and monitor end-to-end 
workflows from a single interface.
+This helps drive collaboration across teams and facilitate agile development.
+
+Airflow provides operators to orchestrate Notebooks, Querybooks, and Visual 
ETL jobs within SageMaker Unified Studio Workflows.
+
+Prerequisite Tasks
+------------------
+
+To use these operators, you must do a few things:
+
+  * Create a SageMaker Unified Studio domain.
+  * Within your domain, create a project with the "Data analytics and AI-ML 
model development" project profile.

Review Comment:
   Fixed



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