ferruzzi commented on code in PR #38693:
URL: https://github.com/apache/airflow/pull/38693#discussion_r1554216885


##########
airflow/providers/amazon/aws/operators/bedrock.py:
##########
@@ -91,3 +96,155 @@ def execute(self, context: Context) -> dict[str, str | int]:
         self.log.info("Bedrock %s prompt: %s", self.model_id, self.input_data)
         self.log.info("Bedrock model response: %s", response_body)
         return response_body
+
+
+class BedrockCustomizeModelOperator(AwsBaseOperator[BedrockHook]):
+    """
+    Create a fine-tuning job to customize a base model.
+
+    .. seealso::
+        For more information on how to use this operator, take a look at the 
guide:
+        :ref:`howto/operator:BedrockCustomizeModelOperator`
+
+    :param job_name: A unique name for the fine-tuning job.
+    :param custom_model_name: A name for the custom model being created.
+    :param role_arn: The Amazon Resource Name (ARN) of an IAM role that Amazon 
Bedrock can assume
+        to perform tasks on your behalf.
+    :param base_model_id: Name of the base model.
+    :param training_data_uri: The S3 URI where the training data is stored.
+    :param output_data_uri: The S3 URI where the output data is stored.
+    :param hyperparameters: Parameters related to tuning the model.
+    :param check_if_job_exists: If set to true, operator will check whether a 
model customization
+        job already exists for the name in the config. (Default: True)
+    :param action_if_job_exists: Behavior if the job name already exists. 
Options are "timestamp" (default),

Review Comment:
   Alright, I decided to tweak this.  Let's leave this comment open as a 
failsafe against merging for now.



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