small fixes

docs/courses/mlops/jobs-and-services.md

@@ -170,6 +170,18 @@ subprocess.check_output(["aws", "s3", "cp", f"s3://madewithml/{github_username}/
 # Entrypoint
 run_id = [line.strip() for line in open("run_id.txt")][0]
 entrypoint = ModelDeployment.bind(run_id=run_id, threshold=0.9)
+
+# Inference
+data = {"query": "What is the default batch size for map_batches?"}
+response = requests.post("http://127.0.0.1:8000/query", json=data)
+print(response.json())
+
+
+# Inference
+data = {"query": "What is the default batch size for map_batches?"}
+response = requests.post("http://127.0.0.1:8000/query", json=data)
+print(response.json())
+
 ```
 
 In this script, we first pull our previously saved artifacts from our S3 bucket to our local storage and then define the entrypoint for our model.

docs/templates/instructor.md

@@ -18,7 +18,7 @@
 </p>
 
 <p>
-    While this was an amazing experience, it was also a humbling one because there were obstacles around <strong>scale</strong>, <strong>integrations</strong> and <strong>productionization</strong> that I that I didn’t have great solutions for. So, I decided to join a team that has been addressing these precise obstacles with some of the <a href="https://www.anyscale.com/user-stories" target="_blank">best ML teams</a> in the world and has an even bigger vision I could stand behind. So I'm excited to announce that Made With ML is now part of <a href="https://www.anyscale.com/" target="_blank">Anyscale</a> to accelerate the path towards production ML.
+    While this was an amazing experience, it was also a humbling one because there were obstacles around <strong>scale</strong>, <strong>integrations</strong> and <strong>productionization</strong> that I didn’t have great solutions for. So, I decided to join a team that has been addressing these precise obstacles with some of the <a href="https://www.anyscale.com/user-stories" target="_blank">best ML teams</a> in the world and has an even bigger vision I could stand behind. So I'm excited to announce that Made With ML is now part of <a href="https://www.anyscale.com/" target="_blank">Anyscale</a> to accelerate the path towards production ML.
 </p>
 
 <div class="mt-4 px-3 py-3" style="background-color: #f5f9fd; text-align: center;">