diff --git a/ml/cloud_shell_tutorials/cloud-nl-intro/tutorial.md b/ml/cloud_shell_tutorials/cloud-nl-intro/tutorial.md
index ccc2665..5415c2f 100644
--- a/ml/cloud_shell_tutorials/cloud-nl-intro/tutorial.md
+++ b/ml/cloud_shell_tutorials/cloud-nl-intro/tutorial.md
@@ -1,15 +1,5 @@
 # Entity and Sentiment Analysis with the Natural Language API
 
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-## GSP038
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-![Rs8rJ9Ct1Xr7k8129HkD7h-HcMD5ttJX6NXaw70TwbqCbkh5S0Y1lr-AfND_9grwzgGxvMkmAjgziGRJ_qoqMKfwKG88fg7_IYXwxcQ-H6e_fkLTQ_ypbP4x-pMT9YzAuUb5clXc](https://lh3.googleusercontent.com/Rs8rJ9Ct1Xr7k8129HkD7h-HcMD5ttJX6NXaw70TwbqCbkh5S0Y1lr-AfND_9grwzgGxvMkmAjgziGRJ_qoqMKfwKG88fg7_IYXwxcQ-H6e_fkLTQ_ypbP4x-pMT9YzAuUb5clXc)
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 ## Overview
 
 The Cloud Natural Language API lets you extract entities from text, perform sentiment and syntactic analysis, and classify text into categories.
@@ -22,6 +12,8 @@ What you'll learn:
 * Performing linguistic analysis on text with the Natural Language API
 * Creating a Natural Language API request in a different language
 
+![Natural Language API logo](https://storage.googleapis.com/aju-dev-demos-codelabs/images/NaturalLanguage_Retina_sm.png)
+
 **Time to complete**: About 30 minutes
 
 Click the **Continue** button to move to the next step.
@@ -36,15 +28,15 @@ To create an API key, navigate to:
 
 **APIs & services > Credentials**:
 
-![apis_and_services](https://storage.googleapis.com/aju-dev-demos-codelabs/apis_and_services.png)
+![apis_and_services](https://storage.googleapis.com/aju-dev-demos-codelabs/images/apis_and_services.png)
 
 Then click __Create credentials__:
 
-![create_credentials1](https://storage.googleapis.com/aju-dev-demos-codelabs/create_credentials1.png)
+![create_credentials1](https://storage.googleapis.com/aju-dev-demos-codelabs/images/create_credentials1.png)
 
 In the drop-down menu, select __API key__:
 
-![create_credentials2](https://storage.googleapis.com/aju-dev-demos-codelabs/create_credentials2.png)
+![create_credentials2](https://storage.googleapis.com/aju-dev-demos-codelabs/images/create_credentials2.png)
 
 Next, copy the key you just generated. Click __Close__.
 
@@ -379,7 +371,7 @@ Let's break down the response:
 * `partOfSpeech` tells us that "Joanne" is a noun.
 * `dependencyEdge` includes data that you can use to create a  [dependency parse tree](https://en.wikipedia.org/wiki/Parse_tree#Dependency-based_parse_trees) of the text. Essentially, this is a diagram showing how words in a sentence relate to each other. A dependency parse tree for the sentence above would look like this:
 
-![1fb62ed60618e914.png](img/1fb62ed60618e914.png)
+![parse tree](https://storage.googleapis.com/aju-dev-demos-codelabs/images/parse_tree.png)
 
 * `headTokenIndex` is the index of the token that has an arc pointing at "Joanne". We can think of each token in the sentence as a word in an array.
 * `headTokenIndex` of 1 for "Joanne" refers to the word "Rowling," which it is connected to in the tree. The label `NN` (short for noun compound modifier) describes the word's role in the sentence. "Joanne" modifies "Rowling," the subject of the sentence.
@@ -478,8 +470,6 @@ You've learned how to perform text analysis with the Cloud Natural Language API
 * Performing linguistic analysis on text to create dependency parse trees
 * Creating a Natural Language API request in Japanese
 
-![38616f8aa634e047.png](img/38616f8aa634e047.png)
-
 #### Some next steps
 
 * Sign up for the full  [Coursera Course on Machine Learning](https://www.coursera.org/learn/serverless-machine-learning-gcp/)