diff --git a/.pipelines/Model-Train-Register-CI.yml b/.pipelines/Model-Train-Register-CI.yml
new file mode 100644
index 00000000..5a539af0
--- /dev/null
+++ b/.pipelines/Model-Train-Register-CI.yml
@@ -0,0 +1,97 @@
+# Continuous Integration (CI) pipeline that orchestrates the training, evaluation, and registration of the diabetes_regression model.
+
+resources:
+  containers:
+  - container: mlops
+    image: mcr.microsoft.com/mlops/python:latest
+
+pr: none
+trigger:
+  branches:
+    include:
+    - master
+  paths:
+    include:
+    - diabetes_regression/
+    - ml_service/pipelines/diabetes_regression_build_train_pipeline.py
+    - ml_service/pipelines/diabetes_regression_build_train_pipeline_with_r.py
+    - ml_service/pipelines/diabetes_regression_build_train_pipeline_with_r_on_dbricks.py
+
+variables:
+- template: diabetes_regression-variables-template.yml
+- group: devopsforai-aml-vg
+
+pool:
+  vmImage: ubuntu-latest
+
+stages:
+- stage: 'Model_CI'
+  displayName: 'Model CI'
+  jobs:
+  - job: "Model_CI_Pipeline"
+    displayName: "Model CI Pipeline"
+    container: mlops
+    timeoutInMinutes: 0
+    steps:
+    - template: code-quality-template.yml
+    - task: AzureCLI@1
+      inputs:
+        azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
+        scriptLocation: inlineScript
+        workingDirectory: $(Build.SourcesDirectory)
+        inlineScript: |
+          set -e # fail on error
+          export SUBSCRIPTION_ID=$(az account show --query id -o tsv)
+          # Invoke the Python building and publishing a training pipeline
+          python -m ml_service.pipelines.diabetes_regression_build_train_pipeline
+      displayName: 'Publish Azure Machine Learning Pipeline'
+
+- stage: 'Trigger_AML_Pipeline'
+  displayName: 'Train and evaluate model'
+  condition: succeeded()
+  variables:
+    BUILD_URI: '$(SYSTEM.COLLECTIONURI)$(SYSTEM.TEAMPROJECT)/_build/results?buildId=$(BUILD.BUILDID)'
+  jobs:
+  - job: "Get_Pipeline_ID"
+    condition: and(succeeded(), eq(coalesce(variables['auto-trigger-training'], 'true'), 'true'))
+    displayName: "Get Pipeline ID for execution"
+    container: mlops
+    timeoutInMinutes: 0
+    steps:
+    - task: AzureCLI@1
+      inputs:
+        azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
+        scriptLocation: inlineScript
+        workingDirectory: $(Build.SourcesDirectory)
+        inlineScript: |
+          set -e # fail on error
+          export SUBSCRIPTION_ID=$(az account show --query id -o tsv)
+          python -m ml_service.pipelines.run_train_pipeline --output_pipeline_id_file "pipeline_id.txt" --skip_train_execution
+          # Set AMLPIPELINEID variable for next AML Pipeline task in next job
+          AMLPIPELINEID="$(cat pipeline_id.txt)"
+          echo "##vso[task.setvariable variable=AMLPIPELINEID;isOutput=true]$AMLPIPELINEID"
+      name: 'getpipelineid'
+      displayName: 'Get Pipeline ID'
+  - job: "Run_ML_Pipeline"
+    dependsOn: "Get_Pipeline_ID"
+    displayName: "Trigger ML Training Pipeline"
+    timeoutInMinutes: 0
+    pool: server
+    variables:
+      AMLPIPELINE_ID: $[ dependencies.Get_Pipeline_ID.outputs['getpipelineid.AMLPIPELINEID'] ]
+    steps:
+    - task: ms-air-aiagility.vss-services-azureml.azureml-restApi-task.MLPublishedPipelineRestAPITask@0
+      displayName: 'Invoke ML pipeline'
+      inputs:
+        azureSubscription: '$(WORKSPACE_SVC_CONNECTION)'
+        PipelineId: '$(AMLPIPELINE_ID)'
+        ExperimentName: '$(EXPERIMENT_NAME)'
+        PipelineParameters: '"ParameterAssignments": {"model_name": "$(MODEL_NAME)"}, "tags": {"BuildId": "$(Build.BuildId)", "BuildUri": "$(BUILD_URI)"}, "StepTags": {"BuildId": "$(Build.BuildId)", "BuildUri": "$(BUILD_URI)"}'
+  - job: "Training_Run_Report"
+    dependsOn: "Run_ML_Pipeline"
+    condition: always()
+    displayName: "Publish artifact if new model was registered"
+    container: mlops
+    timeoutInMinutes: 0
+    steps:
+    - template: diabetes_regression-publish-model-artifact-template.yml
diff --git a/.pipelines/diabetes_regression-ci.yml b/.pipelines/diabetes_regression-ci.yml
index 5a539af0..2e9d9d7c 100644
--- a/.pipelines/diabetes_regression-ci.yml
+++ b/.pipelines/diabetes_regression-ci.yml
@@ -53,6 +53,7 @@ stages:
     BUILD_URI: '$(SYSTEM.COLLECTIONURI)$(SYSTEM.TEAMPROJECT)/_build/results?buildId=$(BUILD.BUILDID)'
   jobs:
   - job: "Get_Pipeline_ID"
+#    condition: and(succeeded(), eq(coalesce(variables['auto-trigger-training'], 'true'), 'true'))
     condition: and(succeeded(), eq(coalesce(variables['auto-trigger-training'], 'true'), 'true'))
     displayName: "Get Pipeline ID for execution"
     container: mlops
diff --git a/.pipelines/diabetes_regression-variables-template.yml b/.pipelines/diabetes_regression-variables-template.yml
index 502753fb..86a9ac59 100644
--- a/.pipelines/diabetes_regression-variables-template.yml
+++ b/.pipelines/diabetes_regression-variables-template.yml
@@ -62,8 +62,8 @@ variables:
   # - name: RUN_EVALUATION
   #   value: "true"
   # Set to false to register the model regardless of the outcome of the evaluation step in the ML pipeline.
-  # - name: ALLOW_RUN_CANCEL
-  #   value: "true"
+  - name: ALLOW_RUN_CANCEL
+    value: "false"
 
   # Flag to allow rebuilding the AML Environment after it was built for the first time. This enables dependency updates from conda_dependencies.yaml.
   # - name: AML_REBUILD_ENVIRONMENT
diff --git a/diabetes_regression/training/train.py b/diabetes_regression/training/train.py
index 22258042..38077319 100644
--- a/diabetes_regression/training/train.py
+++ b/diabetes_regression/training/train.py
@@ -62,7 +62,8 @@ def main():
     print("Running train.py")
 
     # Define training parameters
-    ridge_args = {"alpha": 0.5}
+#    ridge_args = {"alpha": 0.5}
+    ridge_args = {"alpha": 0.3}
 
     # Load the training data as dataframe
     data_dir = "data"