diff --git a/tutorial/_toc.yml b/tutorial/_toc.yml
index c7085e2..ddfc9a6 100644
--- a/tutorial/_toc.yml
+++ b/tutorial/_toc.yml
@@ -54,8 +54,6 @@ parts:
     title: Advanced OpenEO (UDF)
   - file: part3/advanced_ufunc
     title: Advanced OpenEO (Ufunc)
-  - file: part3/advanced_workflow
-    title: Advanced OpenEO (Workflow)
 
 - caption: Beyond the workshop
   chapters:
diff --git a/tutorial/part3/advanced_udf.ipynb b/tutorial/part3/advanced_udf.ipynb
index 0813eb4..c40cd6b 100644
--- a/tutorial/part3/advanced_udf.ipynb
+++ b/tutorial/part3/advanced_udf.ipynb
@@ -3,7 +3,32 @@
   {
    "cell_type": "markdown",
    "source": [
-    "# OpenEO - User Defined Functions"
+    "# OpenEO - User Defined Functions\n",
+    "\n",
+    "\n",
+    "The openEO user defined functions (UDF's), provide a way to run Pangeo code as part of a larger openEO workflow.\n",
+    "This allows you to get the best of both worlds.\n",
+    "\n",
+    "To understand user defined functions, it is recommended to start here:\n",
+    "\n",
+    "https://open-eo.github.io/openeo-python-client/udf.html\n",
+    "\n",
+    "## Case 1 UDF with machine learning\n",
+    "\n",
+    "Applying deep learning models is one of the most common reason to use UDF's.\n",
+    "\n",
+    "https://github.com/openEOPlatform/parcel-delineation/blob/main/Parcel%20delineation.ipynb\n",
+    "\n",
+    "# Sampling EO data\n",
+    "\n",
+    "When calibrating a model, you often want to work on sample datasets that is representative for the full dataset, without actually having to download petabytes of data.\n",
+    "\n",
+    "Therefore, many users sample EO datasets at various point or polygon locations, which then generates a local archive of netCDF files that can be used\n",
+    "to calibrate a model.\n",
+    "\n",
+    "The local openEO processing support allows to start from samples that are pretty much 'raw' data, so that you also have the ability to change your preprocessing pipeline.\n",
+    "\n",
+    "https://open-eo.github.io/openeo-python-client/cookbook/sampling.html"
    ],
    "metadata": {
     "collapsed": false
diff --git a/tutorial/part3/advanced_workflow.ipynb b/tutorial/part3/advanced_workflow.ipynb
deleted file mode 100644
index 10759ab..0000000
--- a/tutorial/part3/advanced_workflow.ipynb
+++ /dev/null
@@ -1,61 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": false
-   },
-   "source": [
-    "# OpenEO - Advanced Workflows"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n",
-    "\n",
-    "The openEO user defined functions (UDF's), provide a way to run Pangeo code as part of a larger openEO workflow.\n",
-    "This allows you to get the best of both worlds.\n",
-    "\n",
-    "# Case 1 UDF with machine learning\n",
-    "\n",
-    "Applying deep learning models is one of the most common reason to use UDF's.\n",
-    "\n",
-    "https://github.com/openEOPlatform/parcel-delineation/blob/main/Parcel%20delineation.ipynb\n",
-    "\n",
-    "# Sampling EO data\n",
-    "\n",
-    "When calibrating a model, you often want to work on sample datasets that is representative for the full dataset, without actually having to download petabytes of data.\n",
-    "\n",
-    "Therefore, many users sample EO datasets at various point or polygon locations, which then generates a local archive of netCDF files that can be used\n",
-    "to calibrate a model.\n",
-    "\n",
-    "The local openEO processing support allows to start from samples that are pretty much 'raw' data, so that you also have the ability to change your preprocessing pipeline.\n",
-    "\n",
-    "https://open-eo.github.io/openeo-python-client/cookbook/sampling.html\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}