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diff --git a/modules/chapter1/images/draw.io/deploy_meaning.drawio b/modules/chapter1/images/draw.io/deploy_meaning.drawio
new file mode 100644
index 0000000..9cb97dd
--- /dev/null
+++ b/modules/chapter1/images/draw.io/deploy_meaning.drawio
@@ -0,0 +1 @@
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diff --git a/modules/chapter1/pages/index.adoc b/modules/chapter1/pages/index.adoc
index 476fc0f..5182397 100644
--- a/modules/chapter1/pages/index.adoc
+++ b/modules/chapter1/pages/index.adoc
@@ -1,3 +1,19 @@
-= Chapter 1
+= Model Serving in RHODS
 
-This is the home page of _Chapter_ 1 in the *hello* quick course...
\ No newline at end of file
+In this chapter, we will describe the concepts and terminology around model serving on RHODS.
+
+Machine learning models must be deployed in a production environment to process real-time data and handle the problem they were designed to solve.
+
+Deploying a model in a production environment means that the model that has been trained, and exported to a model file format, needs to be imported in a runtime engine, and exposed for applications to consume.
+
+Consume from a model, means that software applications will use a communication method, often REST/HTTP to send a prompt request to a server, such server will fire a request to the model and provide a response. It is evident that the server processing the request, and providing a response based on the model needs to have access to such model.
+
+image::deploy_meaning.drawio.svg[]
+
+Here are some of the concepts that we will explain in this chapter:
+
+. Model Server
+. Serving Runtime
+. Model server authentication
+. GPU Support for model serving
+. Model serving formats
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