diff --git a/src/zenml/integrations/aws/orchestrators/sagemaker_orchestrator.py b/src/zenml/integrations/aws/orchestrators/sagemaker_orchestrator.py
index ffccd70daa..dfb748c001 100644
--- a/src/zenml/integrations/aws/orchestrators/sagemaker_orchestrator.py
+++ b/src/zenml/integrations/aws/orchestrators/sagemaker_orchestrator.py
@@ -478,7 +478,9 @@ def prepare_or_run_pipeline(
         )
 
         # Yield metadata based on the generated execution object
-        yield from self.compute_metadata(execution=execution)
+        yield from self.compute_metadata(
+            execution=execution, settings=settings
+        )
 
         # mainly for testing purposes, we wait for the pipeline to finish
         if settings.synchronous:
@@ -577,12 +579,15 @@ def fetch_status(self, run: "PipelineRunResponse") -> ExecutionStatus:
             raise ValueError("Unknown status for the pipeline execution.")
 
     def compute_metadata(
-        self, execution: Any
+        self,
+        execution: Any,
+        settings: SagemakerOrchestratorSettings,
     ) -> Iterator[Dict[str, MetadataType]]:
         """Generate run metadata based on the generated Sagemaker Execution.
 
         Args:
             execution: The corresponding _PipelineExecution object.
+            settings: The Sagemaker orchestrator settings.
 
         Yields:
             A dictionary of metadata related to the pipeline run.
@@ -599,7 +604,9 @@ def compute_metadata(
             metadata[METADATA_ORCHESTRATOR_URL] = Uri(orchestrator_url)
 
         # URL to the corresponding CloudWatch page
-        if logs_url := self._compute_orchestrator_logs_url(execution):
+        if logs_url := self._compute_orchestrator_logs_url(
+            execution, settings
+        ):
             metadata[METADATA_ORCHESTRATOR_LOGS_URL] = Uri(logs_url)
 
         yield metadata
@@ -643,11 +650,13 @@ def _compute_orchestrator_url(
     @staticmethod
     def _compute_orchestrator_logs_url(
         pipeline_execution: Any,
+        settings: SagemakerOrchestratorSettings,
     ) -> Optional[str]:
         """Generate the CloudWatch URL upon pipeline execution.
 
         Args:
             pipeline_execution: The corresponding _PipelineExecution object.
+            settings: The Sagemaker orchestrator settings.
 
         Returns:
             the URL querying the pipeline logs in CloudWatch on AWS.
@@ -657,10 +666,16 @@ def _compute_orchestrator_logs_url(
                 pipeline_execution.arn
             )
 
+            use_training_jobs = True
+            if settings.use_training_step is not None:
+                use_training_jobs = settings.use_training_step
+
+            job_type = "Training" if use_training_jobs else "Processing"
+
             return (
                 f"https://{region_name}.console.aws.amazon.com/"
                 f"cloudwatch/home?region={region_name}#logsV2:log-groups/log-group"
-                f"/$252Faws$252Fsagemaker$252FTrainingJobs$3FlogStreamNameFilter"
+                f"/$252Faws$252Fsagemaker$252F{job_type}Jobs$3FlogStreamNameFilter"
                 f"$3Dpipelines-{execution_id}-"
             )
         except Exception as e: