diff --git a/notebooks/deep_learning/default.yaml b/notebooks/deep_learning/prod.yaml
similarity index 97%
rename from notebooks/deep_learning/default.yaml
rename to notebooks/deep_learning/prod.yaml
index 9d893ec34..97b5a2d57 100644
--- a/notebooks/deep_learning/default.yaml
+++ b/notebooks/deep_learning/prod.yaml
@@ -1,6 +1,6 @@
 # Rendered ipynb files and kernel metadata json files for this config will be saved at notebooks/<track>/<tag>/
 tag: prod
-public: false
+public: true
 # If true, then exercise kernels synced to kaggle will have internet enabled and will begin
 # with a cell that pip installs the current learntools branch. (Useful for testing 
 # notebooks on Kernels without requiring image docker deploy for every learntools change)
@@ -20,4 +20,4 @@ testing: false
 # should keep their original slugs under author B's namespace. But if author A wants to push
 # new testing versions of the notebook, they can set author: author_A in testing.yaml to generate
 # new versions of the kernels under their own username.
-author: ryanholbrook
+author: dansbecker
diff --git a/notebooks/deep_learning/track_meta.py b/notebooks/deep_learning/track_meta.py
index 942f30a94..815358cf3 100644
--- a/notebooks/deep_learning/track_meta.py
+++ b/notebooks/deep_learning/track_meta.py
@@ -1,7 +1,7 @@
 track = dict(
     author_username='dansbecker',
-    course_name='Deep Learning',
-    course_url='https://www.kaggle.com/learn/deep-learning',
+    course_name='Deep Learning for Computer Vision',
+    course_url='https://www.kaggle.com/learn/deep-learning-for-computer-vision',
     course_forum_url='https://www.kaggle.com/learn-forum/161321'
 )