Add a sequence diagram to show the pipeline you'll construct

docs/v3/tutorials/ml.mdx

@@ -5,6 +5,27 @@ description: Use S3 webhooks to trigger an ML training flow on SageMaker
 
 In the [Extract data from websites](/v3/tutorials/scraping) tutorial, you learned how to handle data dependencies and ingest large amounts of data.
 Now, you'll learn how to train a machine learning model using your data.
+Here's the pipeline that you'll construct:
+
+```mermaid
+sequenceDiagram
+    actor Data Engineer
+    Data Engineer->>AWS: Upload training data to S3 Bucket
+    AWS->>AWS: Trigger EventBridge rule
+    Note over AWS,Prefect Cloud: Start model training
+    AWS->>Prefect Cloud: Send event to webhook
+    Prefect Cloud->>Prefect Cloud: Trigger automation
+    Prefect Cloud->>Prefect Cloud: Run deployment
+    Prefect Cloud->>AWS: Train model with Sagemaker
+    AWS->>AWS: Save fitted model to S3 Bucket
+    AWS->>AWS: Trigger EventBridge rule
+    Data Engineer-->>Prefect Cloud: View model performance in logs
+    Note over AWS,Prefect Cloud: Start model inference
+    AWS->>Prefect Cloud: Send event to webhook
+    Prefect Cloud->>Prefect Cloud: Trigger automation
+    Prefect Cloud->>Prefect Cloud: Run deployment
+    Data Engineer-->>Prefect Cloud: View predictions in logs
+```
 
 ## Prerequisites