diff --git a/machine-learning/tutorials/SentimentAnalysis/Program.cs b/machine-learning/tutorials/SentimentAnalysis/Program.cs
index dd7ebcc721e..b91a9535bbe 100644
--- a/machine-learning/tutorials/SentimentAnalysis/Program.cs
+++ b/machine-learning/tutorials/SentimentAnalysis/Program.cs
@@ -5,8 +5,7 @@
 using System.Linq;
 using Microsoft.ML;
 using Microsoft.ML.Core.Data;
-using Microsoft.ML.Runtime.Api;
-using Microsoft.ML.Runtime.Data;
+using Microsoft.ML.Data;
 using Microsoft.ML.Transforms.Text;
 // </Snippet1>
 
@@ -35,7 +34,7 @@ static void Main(string[] args)
             // all the column names and their types. This is used to create the model, and train it. 
             // Initialize our TextLoader
             // <Snippet4>
-            _textLoader = mlContext.Data.TextReader(new TextLoader.Arguments()
+            _textLoader = mlContext.Data.CreateTextReader(new TextLoader.Arguments()
                                                 {
                                                     Separator = "tab",
                                                     HasHeader = true,
@@ -155,7 +154,7 @@ public static void Evaluate(MLContext mlContext, ITransformer model)
         private static void Predict(MLContext mlContext, ITransformer model)
         {
             // <Snippet17>
-            var predictionFunction = model.MakePredictionFunction<SentimentData, SentimentPrediction>(mlContext);
+            var predictionFunction = model.CreatePredictionEngine<SentimentData, SentimentPrediction>(mlContext);
             // </Snippet17>
 
             // <Snippet18>
diff --git a/machine-learning/tutorials/SentimentAnalysis/SentimentAnalysis.csproj b/machine-learning/tutorials/SentimentAnalysis/SentimentAnalysis.csproj
index 77605820364..6f09605ba55 100644
--- a/machine-learning/tutorials/SentimentAnalysis/SentimentAnalysis.csproj
+++ b/machine-learning/tutorials/SentimentAnalysis/SentimentAnalysis.csproj
@@ -2,7 +2,7 @@
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>netcoreapp2.2</TargetFramework>
+    <TargetFramework>netcoreapp2.1</TargetFramework>
   </PropertyGroup>
 
   <PropertyGroup>
@@ -14,7 +14,7 @@
   </ItemGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.ML" Version="0.8.0" />
+    <PackageReference Include="Microsoft.ML" Version="0.9.0" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/machine-learning/tutorials/SentimentAnalysis/SentimentData.cs b/machine-learning/tutorials/SentimentAnalysis/SentimentData.cs
index 1d451f8df24..8211f0d5e93 100644
--- a/machine-learning/tutorials/SentimentAnalysis/SentimentData.cs
+++ b/machine-learning/tutorials/SentimentAnalysis/SentimentData.cs
@@ -1,5 +1,5 @@
 // <Snippet1>
-using Microsoft.ML.Runtime.Api;
+using Microsoft.ML.Data;
 // </Snippet1>
 
 namespace SentimentAnalysis
diff --git a/machine-learning/tutorials/TaxiFarePrediction/Program.cs b/machine-learning/tutorials/TaxiFarePrediction/Program.cs
index 65323bf851d..58721811e9a 100644
--- a/machine-learning/tutorials/TaxiFarePrediction/Program.cs
+++ b/machine-learning/tutorials/TaxiFarePrediction/Program.cs
@@ -3,8 +3,7 @@
 using System.IO;
 using Microsoft.ML;
 using Microsoft.ML.Core.Data;
-using Microsoft.ML.Runtime.Api;
-using Microsoft.ML.Runtime.Data;
+using Microsoft.ML.Data;
 using Microsoft.ML.Transforms;
 using Microsoft.ML.Transforms.Categorical;
 using Microsoft.ML.Transforms.Normalizers;
@@ -31,7 +30,7 @@ static void Main(string[] args)
             // </Snippet3>
 
             // <Snippet4>
-            _textLoader = mlContext.Data.TextReader(new TextLoader.Arguments()
+            _textLoader = mlContext.Data.CreateTextReader(new TextLoader.Arguments()
             {
                 Separator = ",",
                 HasHeader = true,
@@ -139,7 +138,7 @@ private static void TestSinglePrediction(MLContext mlContext)
             //Prediction test
             // Create prediction function and make prediction.
             // <Snippet22>
-            var predictionFunction = loadedModel.MakePredictionFunction<TaxiTrip, TaxiTripFarePrediction>(mlContext);
+            var predictionFunction = loadedModel.CreatePredictionEngine<TaxiTrip, TaxiTripFarePrediction>(mlContext);
             // </Snippet22>
             //Sample: 
             //vendor_id,rate_code,passenger_count,trip_time_in_secs,trip_distance,payment_type,fare_amount
diff --git a/machine-learning/tutorials/TaxiFarePrediction/TaxiFarePrediction.csproj b/machine-learning/tutorials/TaxiFarePrediction/TaxiFarePrediction.csproj
index 462958be8a2..6906d36b958 100644
--- a/machine-learning/tutorials/TaxiFarePrediction/TaxiFarePrediction.csproj
+++ b/machine-learning/tutorials/TaxiFarePrediction/TaxiFarePrediction.csproj
@@ -2,7 +2,7 @@
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>netcoreapp2.2</TargetFramework>
+    <TargetFramework>netcoreapp2.1</TargetFramework>
   </PropertyGroup>
 
   <PropertyGroup>
@@ -10,7 +10,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.ML" Version="0.8.0" />
+    <PackageReference Include="Microsoft.ML" Version="0.9.0" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/machine-learning/tutorials/TaxiFarePrediction/TaxiTrip.cs b/machine-learning/tutorials/TaxiFarePrediction/TaxiTrip.cs
index 4b33a040ce7..13c059572b5 100644
--- a/machine-learning/tutorials/TaxiFarePrediction/TaxiTrip.cs
+++ b/machine-learning/tutorials/TaxiFarePrediction/TaxiTrip.cs
@@ -1,5 +1,5 @@
 // <Snippet1>
-using Microsoft.ML.Runtime.Api;
+using Microsoft.ML.Data;
 // </Snippet1>
 
 namespace TaxiFarePrediction