diff --git a/language/cloud-client/v1/requirements.txt b/language/cloud-client/v1/requirements.txt
index 2cbc37eb15b1..7029093e9515 100644
--- a/language/cloud-client/v1/requirements.txt
+++ b/language/cloud-client/v1/requirements.txt
@@ -1 +1 @@
-google-cloud-language==1.0.2
+google-cloud-language==1.1.0
diff --git a/language/cloud-client/v1/snippets.py b/language/cloud-client/v1/snippets.py
index a41c7cb3ccc6..826c28c54f1a 100644
--- a/language/cloud-client/v1/snippets.py
+++ b/language/cloud-client/v1/snippets.py
@@ -95,14 +95,11 @@ def entities_text(text):
     #   document.type == enums.Document.Type.HTML
     entities = client.analyze_entities(document).entities
 
-    # entity types from enums.Entity.Type
-    entity_type = ('UNKNOWN', 'PERSON', 'LOCATION', 'ORGANIZATION',
-                   'EVENT', 'WORK_OF_ART', 'CONSUMER_GOOD', 'OTHER')
-
     for entity in entities:
+        entity_type = enums.Entity.Type(entity.type)
         print('=' * 20)
         print(u'{:<16}: {}'.format('name', entity.name))
-        print(u'{:<16}: {}'.format('type', entity_type[entity.type]))
+        print(u'{:<16}: {}'.format('type', entity_type.name))
         print(u'{:<16}: {}'.format('metadata', entity.metadata))
         print(u'{:<16}: {}'.format('salience', entity.salience))
         print(u'{:<16}: {}'.format('wikipedia_url',
@@ -125,14 +122,11 @@ def entities_file(gcs_uri):
     #   document.type == enums.Document.Type.HTML
     entities = client.analyze_entities(document).entities
 
-    # entity types from enums.Entity.Type
-    entity_type = ('UNKNOWN', 'PERSON', 'LOCATION', 'ORGANIZATION',
-                   'EVENT', 'WORK_OF_ART', 'CONSUMER_GOOD', 'OTHER')
-
     for entity in entities:
+        entity_type = enums.Entity.Type(entity.type)
         print('=' * 20)
         print(u'{:<16}: {}'.format('name', entity.name))
-        print(u'{:<16}: {}'.format('type', entity_type[entity.type]))
+        print(u'{:<16}: {}'.format('type', entity_type.name))
         print(u'{:<16}: {}'.format('metadata', entity.metadata))
         print(u'{:<16}: {}'.format('salience', entity.salience))
         print(u'{:<16}: {}'.format('wikipedia_url',
@@ -158,12 +152,9 @@ def syntax_text(text):
     #   document.type == enums.Document.Type.HTML
     tokens = client.analyze_syntax(document).tokens
 
-    # part-of-speech tags from enums.PartOfSpeech.Tag
-    pos_tag = ('UNKNOWN', 'ADJ', 'ADP', 'ADV', 'CONJ', 'DET', 'NOUN', 'NUM',
-               'PRON', 'PRT', 'PUNCT', 'VERB', 'X', 'AFFIX')
-
     for token in tokens:
-        print(u'{}: {}'.format(pos_tag[token.part_of_speech.tag],
+        part_of_speech_tag = enums.PartOfSpeech.Tag(token.part_of_speech.tag)
+        print(u'{}: {}'.format(part_of_speech_tag.name,
                                token.text.content))
     # [END language_python_migration_syntax_text]
 # [END language_syntax_text]
@@ -183,12 +174,9 @@ def syntax_file(gcs_uri):
     #   document.type == enums.Document.Type.HTML
     tokens = client.analyze_syntax(document).tokens
 
-    # part-of-speech tags from enums.PartOfSpeech.Tag
-    pos_tag = ('UNKNOWN', 'ADJ', 'ADP', 'ADV', 'CONJ', 'DET', 'NOUN', 'NUM',
-               'PRON', 'PRT', 'PUNCT', 'VERB', 'X', 'AFFIX')
-
     for token in tokens:
-        print(u'{}: {}'.format(pos_tag[token.part_of_speech.tag],
+        part_of_speech_tag = enums.PartOfSpeech.Tag(token.part_of_speech.tag)
+        print(u'{}: {}'.format(part_of_speech_tag.name,
                                token.text.content))
 # [END language_syntax_gcs]
 
diff --git a/texttospeech/cloud-client/list_voices.py b/texttospeech/cloud-client/list_voices.py
index 3f43499c6742..a2da5a178528 100644
--- a/texttospeech/cloud-client/list_voices.py
+++ b/texttospeech/cloud-client/list_voices.py
@@ -25,6 +25,7 @@
 def list_voices():
     """Lists the available voices."""
     from google.cloud import texttospeech
+    from google.cloud.texttospeech import enums
     client = texttospeech.TextToSpeechClient()
 
     # Performs the list voices request
@@ -38,13 +39,10 @@ def list_voices():
         for language_code in voice.language_codes:
             print('Supported language: {}'.format(language_code))
 
-        # SSML Voice Gender values from google.cloud.texttospeech.enums
-        ssml_voice_genders = ['SSML_VOICE_GENDER_UNSPECIFIED', 'MALE',
-                              'FEMALE', 'NEUTRAL']
+        ssml_gender = enums.SsmlVoiceGender(voice.ssml_gender)
 
         # Display the SSML Voice Gender
-        print('SSML Voice Gender: {}'.format(
-            ssml_voice_genders[voice.ssml_gender]))
+        print('SSML Voice Gender: {}'.format(ssml_gender.name))
 
         # Display the natural sample rate hertz for this voice. Example: 24000
         print('Natural Sample Rate Hertz: {}\n'.format(
diff --git a/video/cloud-client/analyze/analyze.py b/video/cloud-client/analyze/analyze.py
index 1905c0e712f7..5a13d01c823e 100644
--- a/video/cloud-client/analyze/analyze.py
+++ b/video/cloud-client/analyze/analyze.py
@@ -30,6 +30,7 @@
 import io
 
 from google.cloud import videointelligence
+from google.cloud.videointelligence import enums
 
 
 def analyze_explicit_content(path):
@@ -44,15 +45,12 @@ def analyze_explicit_content(path):
     result = operation.result(timeout=90)
     print('\nFinished processing.')
 
-    likely_string = ("Unknown", "Very unlikely", "Unlikely", "Possible",
-                     "Likely", "Very likely")
-
     # first result is retrieved because a single video was processed
     for frame in result.annotation_results[0].explicit_annotation.frames:
+        likelihood = enums.Likelihood(frame.pornography_likelihood)
         frame_time = frame.time_offset.seconds + frame.time_offset.nanos / 1e9
         print('Time: {}s'.format(frame_time))
-        print('\tpornography: {}'.format(
-            likely_string[frame.pornography_likelihood]))
+        print('\tpornography: {}'.format(likelihood.name))
     # [END video_analyze_explicit_content]