diff --git a/airflow/providers/amazon/aws/example_dags/example_batch.py b/airflow/providers/amazon/aws/example_dags/example_batch.py
new file mode 100644
index 0000000000000..959e4de52d300
--- /dev/null
+++ b/airflow/providers/amazon/aws/example_dags/example_batch.py
@@ -0,0 +1,66 @@
+# 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.
+from datetime import datetime
+from json import loads
+from os import environ
+
+from airflow import DAG
+from airflow.providers.amazon.aws.operators.batch import BatchOperator
+from airflow.providers.amazon.aws.sensors.batch import BatchSensor
+
+# The inputs below are required for the submit batch example DAG.
+JOB_NAME = environ.get('BATCH_JOB_NAME', 'example_job_name')
+JOB_DEFINITION = environ.get('BATCH_JOB_DEFINITION', 'example_job_definition')
+JOB_QUEUE = environ.get('BATCH_JOB_QUEUE', 'example_job_queue')
+JOB_OVERRIDES = loads(environ.get('BATCH_JOB_OVERRIDES', '{}'))
+
+# An existing (externally triggered) job id is required for the sensor example DAG.
+JOB_ID = environ.get('BATCH_JOB_ID', '00000000-0000-0000-0000-000000000000')
+
+
+with DAG(
+    dag_id='example_batch_submit_job',
+    schedule_interval=None,
+    start_date=datetime(2021, 1, 1),
+    tags=['example'],
+    catchup=False,
+) as submit_dag:
+
+    # [START howto_operator_batch]
+    submit_batch_job = BatchOperator(
+        task_id='submit_batch_job',
+        job_name=JOB_NAME,
+        job_queue=JOB_QUEUE,
+        job_definition=JOB_DEFINITION,
+        overrides=JOB_OVERRIDES,
+    )
+    # [END howto_operator_batch]
+
+with DAG(
+    dag_id='example_batch_wait_for_job_sensor',
+    schedule_interval=None,
+    start_date=datetime(2021, 1, 1),
+    tags=['example'],
+    catchup=False,
+) as sensor_dag:
+
+    # [START howto_sensor_batch]
+    wait_for_batch_job = BatchSensor(
+        task_id='wait_for_batch_job',
+        job_id=JOB_ID,
+    )
+    # [END howto_sensor_batch]
diff --git a/airflow/providers/amazon/aws/operators/batch.py b/airflow/providers/amazon/aws/operators/batch.py
index 06fb244bf6bb3..fcd925f9ae32e 100644
--- a/airflow/providers/amazon/aws/operators/batch.py
+++ b/airflow/providers/amazon/aws/operators/batch.py
@@ -1,4 +1,3 @@
-#
 # 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
@@ -41,6 +40,10 @@ class BatchOperator(BaseOperator):
     """
     Execute a job on AWS Batch
 
+    .. seealso::
+        For more information on how to use this operator, take a look at the guide:
+        :ref:`howto/operator:BatchOperator`
+
     :param job_name: the name for the job that will run on AWS Batch (templated)
 
     :param job_definition: the job definition name on AWS Batch
diff --git a/airflow/providers/amazon/aws/sensors/batch.py b/airflow/providers/amazon/aws/sensors/batch.py
index a6ca51ab22fb1..faab424e314fa 100644
--- a/airflow/providers/amazon/aws/sensors/batch.py
+++ b/airflow/providers/amazon/aws/sensors/batch.py
@@ -30,6 +30,10 @@ class BatchSensor(BaseSensorOperator):
     Asks for the state of the Batch Job execution until it reaches a failure state or success state.
     If the job fails, the task will fail.
 
+    .. seealso::
+        For more information on how to use this sensor, take a look at the guide:
+        :ref:`howto/sensor:BatchSensor`
+
     :param job_id: Batch job_id to check the state for
     :param aws_conn_id: aws connection to use, defaults to 'aws_default'
     """
diff --git a/airflow/providers/amazon/provider.yaml b/airflow/providers/amazon/provider.yaml
index 678e037c427b3..3c601294f9963 100644
--- a/airflow/providers/amazon/provider.yaml
+++ b/airflow/providers/amazon/provider.yaml
@@ -161,6 +161,8 @@ integrations:
   - integration-name: AWS Batch
     external-doc-url: https://aws.amazon.com/batch/
     logo: /integration-logos/aws/AWS-Batch_light-bg@4x.png
+    how-to-guide:
+      - /docs/apache-airflow-providers-amazon/operators/batch.rst
     tags: [aws]
   - integration-name: AWS DataSync
     external-doc-url: https://aws.amazon.com/datasync/
diff --git a/docs/apache-airflow-providers-amazon/operators/batch.rst b/docs/apache-airflow-providers-amazon/operators/batch.rst
new file mode 100644
index 0000000000000..87d371b8c8a49
--- /dev/null
+++ b/docs/apache-airflow-providers-amazon/operators/batch.rst
@@ -0,0 +1,65 @@
+ .. 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.
+
+
+AWS Batch Operators
+===================
+
+`AWS Batch <https://aws.amazon.com/batch/>`__ enables you to run batch computing workloads on the AWS Cloud.
+Batch computing is a common way for developers, scientists, and engineers to access large amounts of compute
+resources. AWS Batch removes the undifferentiated heavy lifting of configuring and managing the required
+infrastructure.
+
+Prerequisite Tasks
+------------------
+
+.. include:: _partials/prerequisite_tasks.rst
+
+.. _howto/sensor:BatchSensor:
+
+AWS Batch Sensor
+""""""""""""""""
+
+To wait on the state of an AWS Batch Job until it reaches a terminal state you can
+use :class:`~airflow.providers.amazon.aws.sensors.batch.BatchSensor`.
+
+.. exampleinclude:: /../../airflow/providers/amazon/aws/example_dags/example_batch.py
+    :language: python
+    :dedent: 4
+    :start-after: [START howto_sensor_batch]
+    :end-before: [END howto_sensor_batch]
+
+.. _howto/operator:BatchOperator:
+
+AWS Batch Operator
+""""""""""""""""""
+
+To submit a new AWS Batch Job and monitor it until it reaches a terminal state you can
+use :class:`~airflow.providers.amazon.aws.operators.batch.BatchOperator`.
+
+.. exampleinclude:: /../../airflow/providers/amazon/aws/example_dags/example_batch.py
+    :language: python
+    :dedent: 4
+    :start-after: [START howto_operator_batch]
+    :end-before: [END howto_operator_batch]
+
+Reference
+---------
+
+For further information, look at:
+
+* `Boto3 Library Documentation for Batch <https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/batch.html>`__