diff --git a/Samples/customvision/customVisionImgClassify.js b/Samples/customvision/customVisionImgClassify.js
index 050019a..083e79f 100644
--- a/Samples/customvision/customVisionImgClassify.js
+++ b/Samples/customvision/customVisionImgClassify.js
@@ -26,6 +26,9 @@ const predictionKey = process.env[predictionKeyVar];
 // Add your Custom Vision endpoint to your environment variables.
 const endPoint = process.env['CUSTOM_VISION_ENDPOINT']
 
+const predictionResourceId = "<your prediction resource id>";
+const publishIterationName = "classifyModel";
+
 const trainer = new TrainingApiClient(trainingKey, endPoint);
 
 async function sample() {
@@ -68,14 +71,14 @@ async function sample() {
     }
     console.log("Training status: " + trainingIteration.status);
 
-    trainingIteration.isDefault = true;
-    await trainer.updateIteration(sampleProject.id, trainingIteration.id, trainingIteration);
+    // Publish the iteration to the end point
+    await trainer.publishIteration(sampleProject.id, trainingIteration.id, publishIterationName, predictionResourceId);
 
     // Step 5. Prediction
     const predictor = new PredictionApiClient(predictionKey, endPoint);
     const testFile = fs.readFileSync(`${sampleDataRoot}/Test/test_image.jpg`);
 
-    const results = await predictor.predictImage(sampleProject.id, testFile, { iterationId: trainingIteration.id });
+    const results = await predictor.classifyImage(sampleProject.id, publishIterationName, testFile);
 
     // Step 6. Show results
     console.log("Results:");
diff --git a/Samples/customvision/customVisionObjDetect.js b/Samples/customvision/customVisionObjDetect.js
index 4536163..8766816 100644
--- a/Samples/customvision/customVisionObjDetect.js
+++ b/Samples/customvision/customVisionObjDetect.js
@@ -26,6 +26,9 @@ const predictionKey = process.env[predictionKeyVar];
 // Add your Custom Vision endpoint to your environment variables.
 const endPoint = process.env['CUSTOM_VISION_ENDPOINT']
 
+const predictionResourceId = "<your prediction resource id>";
+const publishIterationName = "detectModel";
+
 const trainer = new TrainingApi.TrainingAPIClient(trainingKey, endPoint);
 
 async function sample() {
@@ -146,14 +149,14 @@ async function sample() {
     }
     console.log("Training status: " + trainingIteration.status);
 
-    trainingIteration.isDefault = true;
-    await trainer.updateIteration(sampleProject.id, trainingIteration.id, trainingIteration);
+    // Publish the iteration to the end point
+    await trainer.publishIteration(sampleProject.id, trainingIteration.id, publishIterationName, predictionResourceId);
 
     // Step 5. Prediction
     const predictor = new PredictionApi.PredictionAPIClient(predictionKey, endPoint);
     const testFile = fs.readFileSync(`${sampleDataRoot}/Test/test_od_image.jpg`);
 
-    const results = await predictor.predictImage(sampleProject.id, testFile, { iterationId: trainingIteration.id })
+    const results = await predictor.detectImage(sampleProject.id, publishIterationName, testFile)
 
     // Step 6. Show results
     console.log("Results:");
diff --git a/package.json b/package.json
index 913be99..9562020 100644
--- a/package.json
+++ b/package.json
@@ -28,6 +28,9 @@
     "azure-cognitiveservices-textanalytics": "^3.0.0",
     "azure-cognitiveservices-vision": "^1.0.0-preview",
     "azure-cognitiveservices-visualsearch": "^1.1.0-preview",
+    "azure-cognitiveservices-customvision-training": "^3.0.0",
+    "azure-cognitiveservices-customvision-prediction": "^3.0.0",
+
     "ms-rest": "^2.3.3",
     "ms-rest-azure": "^2.5.5",
     "npm": "^5.8.0",