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AWS sagemaker documentation change

Service: sagemaker · 2025-03-19 · Documentation low

File: sagemaker/latest/dg/sagemaker-projects-walkthrough-3rdgit.md

Summary

Updated project setup instructions with new template names, UI references (Studio Classic), and added repository configuration details

Security assessment

Changes focus on workflow updates and terminology changes (Studio -> Studio Classic). No security vulnerabilities addressed or security features documented in the modifications.

Diff

diff --git a/sagemaker/latest/dg/sagemaker-projects-walkthrough-3rdgit.md b/sagemaker/latest/dg/sagemaker-projects-walkthrough-3rdgit.md
index 97f68cdd5..c6de3b132 100644
--- a/sagemaker/latest/dg/sagemaker-projects-walkthrough-3rdgit.md
+++ b/sagemaker/latest/dg/sagemaker-projects-walkthrough-3rdgit.md
@@ -25 +25 @@ To complete this walkthrough, you need:
-  * Two empty GitHub repositories. You input these repositories into the project template, which will seed these repos with model build and deploy code.
+  * Two GitHub repositories initialized with a README. You input these repositories into the project template, which will seed these repos with model build and deploy code.
@@ -92 +92 @@ In this step, you create a SageMaker AI MLOps project by using a SageMaker AI-pr
-  1. Sign in to Studio. For more information, see [Amazon SageMaker AI domain overview](./gs-studio-onboard.html).
+  1. Sign in to Studio Classic. For more information, see [Amazon SageMaker AI domain overview](./gs-studio-onboard.html).
@@ -94 +94 @@ In this step, you create a SageMaker AI MLOps project by using a SageMaker AI-pr
-  2. In the Studio sidebar, choose the **Home** icon (  ![Black square icon representing a placeholder or empty image.](/images/sagemaker/latest/dg/images/studio/icons/house.png) ).
+  2. In the Studio Classic sidebar, choose the **Home** icon (  ![Black square icon representing a placeholder or empty image.](/images/sagemaker/latest/dg/images/studio/icons/house.png) ).
@@ -102 +102 @@ The **Create project** tab appears.
-  5. For **SageMaker AI project templates** , choose **Model building, training, and deployment with third-party Git repositories using CodePipeline**.
+  5. For **SageMaker AI project templates** , choose **MLOps template for model building, training, and deployment with third-party Git repositories**.
@@ -104 +104 @@ The **Create project** tab appears.
-  6. Choose **Next**.
+  6. Choose **Select project template**.
@@ -107,0 +108,2 @@ The **Create project** tab appears.
+     * For **URL** , enter the URL of your Git repository for the model build code in https://`git-url`.git format.
+
@@ -112 +114,3 @@ The **Create project** tab appears.
-     * For **Code Connection ARN** , enter the ARN of the CodeConnections connection you created in Step 1.
+     * For **Codestar Connection ARN** , enter the ARN of the CodeConnections connection you created in Step 1.
+
+     * The **Sample Code** toggle switch lets you choose whether to populate the repository with model build seed code. We can leave it on for this demo.
@@ -115,0 +120,2 @@ The **Create project** tab appears.
+     * For **URL** , enter the URL of your Git repository for the model deploy code in https://`git-url`.git format.
+
@@ -120 +126,3 @@ The **Create project** tab appears.
-     * For **Code Connection ARN** , enter the ARN of the CodeConnections connection you created in Step 1.
+     * For **Codestar Connection ARN** , enter the ARN of the CodeConnections connection you created in Step 1.
+
+     * The **Sample Code** toggle switch lets you choose whether to populate the repository with model deployment seed code. We can leave it on for this demo.