diff --git a/.pipelines/diabetes_regression-ci.yml b/.pipelines/diabetes_regression-ci.yml
index 5a539af0..9aee79c1 100644
--- a/.pipelines/diabetes_regression-ci.yml
+++ b/.pipelines/diabetes_regression-ci.yml
@@ -20,7 +20,10 @@ trigger:
 variables:
 - template: diabetes_regression-variables-template.yml
 - group: devopsforai-aml-vg
+  # Source Config
+  # The directory containing the scripts for training, evaluating, and registering the model
 
+    
 pool:
   vmImage: ubuntu-latest
 
diff --git a/.pipelines/diabetes_regression-variables-template.yml b/.pipelines/diabetes_regression-variables-template.yml
index 502753fb..bbcaceee 100644
--- a/.pipelines/diabetes_regression-variables-template.yml
+++ b/.pipelines/diabetes_regression-variables-template.yml
@@ -7,6 +7,9 @@ variables:
     # The path to the model training script under SOURCES_DIR_TRAIN
   - name: TRAIN_SCRIPT_PATH
     value: training/train_aml.py
+    #workspace connection 
+  - name: WORKSPACE_SVC_CONNECTION
+    value: 'edapmlops_aml'
     # The path to the model evaluation script under SOURCES_DIR_TRAIN
   - name: EVALUATE_SCRIPT_PATH
     value: evaluate/evaluate_model.py
@@ -20,7 +23,7 @@ variables:
 
   # Azure ML Variables
   - name: EXPERIMENT_NAME
-    value: mlopspython
+    value: mlops_devops_train
   - name: DATASET_NAME
     value: diabetes_ds
   # Uncomment DATASTORE_NAME if you have configured non default datastore to point to your data
@@ -31,7 +34,7 @@ variables:
   - name: TRAINING_PIPELINE_NAME
     value: "diabetes-Training-Pipeline"
   - name: MODEL_NAME
-    value: diabetes_regression_model.pkl
+    value: diabetes_regression_model_demo.pkl
 
   # AML Compute Cluster Config
   - name: AML_ENV_NAME
@@ -126,4 +129,4 @@ variables:
   # Scoring pipeline name
   - name: SCORING_PIPELINE_NAME
     value: "diabetes-scoring-pipeline"
-    
\ No newline at end of file
+