mlflow · BenWilson2 · Jan 12, 2024 · Jan 9, 2024 · Jan 9, 2024 · Jan 11, 2024
diff --git a/docs/source/_static/images/tutorials/introductory/autologging-intro.png b/docs/source/_static/images/tutorials/introductory/autologging-intro.png
diff --git a/docs/source/_static/images/tutorials/introductory/intro-run-comparison.png b/docs/source/_static/images/tutorials/introductory/intro-run-comparison.png
diff --git a/docs/source/_static/images/tutorials/introductory/tracking-basics.png b/docs/source/_static/images/tutorials/introductory/tracking-basics.png
diff --git a/docs/source/getting-started/index.rst b/docs/source/getting-started/index.rst
diff --git a/docs/source/getting-started/logging-first-model/index.rst b/docs/source/getting-started/logging-first-model/index.rst
@@ -20,4 +20,22 @@ The topics in this tutorial cover:
 * Learning how to **log** metrics, parameters, and a model artifact to a run
 * Viewing our Experiment and our first run within the **MLflow UI**
 
-To get started with the tutorial, click NEXT below.
+To get started with the tutorial, click NEXT below or navigate to the section that you're interested in:
+
+.. toctree::
+    :maxdepth: 1
+
+    step1-tracking-server
+    step2-mlflow-client
+    step3-create-experiment
+    step4-experiment-search
+    step5-synthetic-data
+    step6-logging-a-run
+    notebooks/index
+
+If you would instead like to download a notebook-based version of this guide and follow along locally, you can download the notebook from the link below. 
+
+.. raw:: html
+
+    <a href="https://raw.githubusercontent.com/mlflow/mlflow/master/docs/source/getting-started/logging-first-model/notebooks/logging-first-model.ipynb" class="notebook-download-btn">
+        <i class="fas fa-download"></i>Download the Notebook</a><br/>
diff --git a/docs/source/getting-started/quickstart-1/index.rst b/docs/source/getting-started/quickstart-1/index.rst
diff --git a/docs/source/getting-started/quickstart-2/index.rst b/docs/source/getting-started/quickstart-2/index.rst
@@ -26,8 +26,8 @@ you will create a Docker container image suitable for deployment to a cloud plat
 Set up
 ------
 
-- Install MLflow. See the :ref:`introductory quickstart <quickstart-1>` for instructions
-- Run the tracking server: ``mlflow ui --port 5000``
+For a comprehensive guide on getting an MLflow environment setup that will give you options on how to configure MLflow tracking 
+capabilities, you can `read the guide here <../running-notebooks/index.html>`_.
 
 Run a hyperparameter sweep
 --------------------------

diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -46,7 +46,7 @@ Getting Started Guides and Quickstarts
                 </a>
             </div>
             <div class="simple-card">
-                <a href="getting-started/quickstart-1/index.html" >
+                <a href="tracking/autolog.html" >
                     <div class="header">
                         Autologging Quickstart
                     </div>

diff --git a/docs/source/tracking/backend-stores.rst b/docs/source/tracking/backend-stores.rst
@@ -39,7 +39,7 @@ MLflow supports the following types of tracking URI for backend stores:
 - HTTP server (specified as ``https://my-server:5000``), which is a server hosting an :ref:`MLflow tracking server <tracking_server>`.
 - Databricks workspace (specified as ``databricks`` or as ``databricks://<profileName>``, a `Databricks CLI profile <https://github.com/databricks/databricks-cli#installation>`_).
   Refer to Access the MLflow tracking server from outside Databricks `[AWS] <http://docs.databricks.com/applications/mlflow/access-hosted-tracking-server.html>`_
-  `[Azure] <http://docs.microsoft.com/azure/databricks/applications/mlflow/access-hosted-tracking-server>`_, or :ref:`the quickstart <quickstart_tracking_server>` to
+  `[Azure] <http://docs.microsoft.com/azure/databricks/applications/mlflow/access-hosted-tracking-server>`_, or `the quickstart <../getting-started/intro-quickstart/index.html>`_ to
   easily get started with hosted MLflow on Databricks Community Edition.
 
 .. important::