diff --git a/_deployments/developer_deployment.markdown b/_deployments/developer_deployment.markdown
index 6c2969e..dd9e37b 100644
--- a/_deployments/developer_deployment.markdown
+++ b/_deployments/developer_deployment.markdown
@@ -84,4 +84,5 @@ $ oc create -k clusters/overlays/aws
 1. [Run tekton pipeline](../../deployments/run_tekton_pipeline) - The Tekton pipeline is used to build the container image for the application.
 2. [Configure rhods](../../deployments/configure_rhods) - The Red Hat OpenShift Data Science environment is used to train the AI model.
 3. [Run rhods Notebooks](../../deployments/run_rhods_notebooks) - Run notebooks to train the AI model. 
+
 [Back to Homepage](/)
\ No newline at end of file
diff --git a/index.markdown b/index.markdown
index b42aea4..8183163 100644
--- a/index.markdown
+++ b/index.markdown
@@ -16,15 +16,14 @@ Revolutionizing the quality control process in the food industry with cutting-ed
 Using state-of-the-art computer vision and AI technology, we've developed a system that accurately detects defects in nuts, ensuring quality and safety in food production.
 
 <!-- Model Creation with OpenShift AI -->
-### Model Creation with OpenShift AI
-We utilize Red Hat OpenShift Data Science for training our AI models. [Learn More](/model-creation)
 
 <!-- Jupyter Lab Overview -->
 ### Configure Red Hat OpenShift Data Science
 Explore how we configure Red Hat OpenShift Data Science for our AI model training. [Read More](deployments/configure_rhods)
 
 ### Jupyter Lab for Model Training
-Download our Jupyter Lab notebook and explore how we train our AI models. [Download Notebook](deployments/run_rhods_notebooks)
+Download our Jupyter Lab notebook and explore how we train our AI models.
+[Run notebook and deploy Pipeline](deployments/run_rhods_notebooks)
 
 <!-- Workload Container & Microshift Deployment -->
 ### Deployment and Orchestration