API walkthrough notebook links (#763)

Author: Paul-Cornell

api-reference/workflow/overview.mdx

@@ -3,7 +3,8 @@ title: Overview
 ---
 
 <Tip>
-    To start using the Unstructured Workflow Endpoint right away, skip ahead to the [quickstart](#quickstart), 
+    To start using the Unstructured Workflow Endpoint right away, skip ahead to the [quickstart](#quickstart) or 
+    [walkthrough](#walkthrough), 
     which uses the Unstructured Python SDK from a remote hosted Google Colab notebook.
 </Tip>
 
@@ -22,7 +23,7 @@ scenarios as well as for documentation, reporting, and recovery needs.
 
 Choose one of the following options to get started with the Unstructured Workflow Endpoint:
 
-- Follow the [quickstart](#quickstart), which uses the Unstructured Python SDK from a remote hosted Google Colab notebook.
+- Follow the [quickstart](#quickstart) or [walkthrough](#walkthrough), which uses the Unstructured Python SDK from a remote hosted Google Colab notebook.
 - Start using the [Unstructred Python SDK](#unstructured-python-sdk).
 - Start using a [REST](#rest-endpoints) client, such as `curl` or Postman.
 
@@ -32,6 +33,12 @@ import SharedPlatformAPI from '/snippets/quickstarts/platform-api.mdx';
 
 <SharedPlatformAPI />
 
+## Walkthrough
+
+import WorkflowAPIWalkthrough from '/snippets/quickstarts/walkthrough-api.mdx';
+
+<WorkflowAPIWalkthrough />
+
 ## Unstructured Python SDK
 
 Watch the following 4-minute video to learn how to use the Python SDK to call the Unstructured Workflow Endpoint to 

examplecode/notebooks.mdx

@@ -6,6 +6,13 @@ description: "Notebooks contain complete working sample code for end-to-end solu
 ---
 
 <CardGroup cols={2}>
+   <Card title="Unstructured API Walkthrough" href="https://colab.research.google.com/github/Unstructured-IO/notebooks/blob/main/notebooks/Unstructured_API_Walkthrough.ipynb">
+    <br/>
+       This walkthrough provides you with deep, hands-on experience with the Unstructured API. As you follow along, you will learn how to use many of the Unstructured API's features for partitioning, enriching, chunking, and embedding.
+    <br/>
+       ``Unstructured API`` ``Workflows`` ``Workflow Endpoint`` ``Local File``
+    <br/>
+   </Card>
    <Card title="Everything (from) Everywhere All at Once" href="https://colab.research.google.com/github/Unstructured-IO/notebooks/blob/main/notebooks/RAG_From_Multiple_Data_Sources_FileTypes.ipynb">
     <br/>
        Set up an AI assistant that answers questions by querying your company's scattered data. Retrieve context from contracts in Azure, sales decks in OneDrive, and emails in Outlook through a single RAG pipeline.

snippets/quickstarts/walkthrough-api.mdx

@@ -0,0 +1,5 @@
+This walkthrough uses the Unstructured Python SDK to provide you with deep, hands-on experience with Unstructured end-to-end. 
+As you follow along, you will learn how to use many of the Unstructured Workflow Endpoint's features for partitioning, enriching, chunking, and embedding. 
+The Python code for this walkthough is in a remote hosted Google Colab notebook. Data is processed on Unstructured-hosted compute resources.
+
+To run this walkthrough, open the [notebook](https://colab.research.google.com/github/Unstructured-IO/notebooks/blob/main/notebooks/Unstructured_API_Walkthrough.ipynb) and begin following the notebook's on-screen instructions.