Merge pull request #285212 from sdgilley/sdg-ml-landing

update landing page

Author: prmerger-automator[bot]

articles/machine-learning/index.yml

@@ -12,7 +12,7 @@ metadata:
   ms.author: sgilley
   author: sdgilley
   ms.reviewer: sgilley
-  ms.date: 02/15/2024
+  ms.date: 08/21/2024
   ms.custom: jordan-changes
 # linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | video | whats-new
 
@@ -23,6 +23,9 @@ landingContent:
         links:  
           - text: "What is Azure Machine Learning?"       
             url: overview-what-is-azure-machine-learning.md
+          - text: "What is Responsible AI?"       
+            url: concept-responsible-ai.md
+
   # Card
   - title: Setup & quickstart
     linkLists:
@@ -48,6 +51,16 @@ landingContent:
       - text: Set up a reusable pipeline
         url: tutorial-pipeline-python-sdk.md
 
+  # Card
+  - title: "Build AI solutions"
+    linkLists:
+      - linkListType: quickstart
+        links:
+          - text: "What is Azure Machine Learning prompt flow?"       
+            url: prompt-flow/overview-what-is-prompt-flow.md
+          - text: "Get started in prompt flow"
+            url: prompt-flow/get-started-prompt-flow.md
+
   # Card
   - title: Work with data
     linkLists:
@@ -57,8 +70,6 @@ landingContent:
           url: interactive-data-wrangling-with-apache-spark-azure-ml.md
         - text: Create data assets
           url: how-to-create-data-assets.md
-        - text: Work with tables
-          url: how-to-mltable.md
 
   # Card
   - title: Train models
@@ -67,14 +78,8 @@ landingContent:
         links:            
           - text: Run training with CLI, SDK, or REST API
             url: how-to-train-model.md
-          - text: Tune hyperparameters for model training
-            url: how-to-tune-hyperparameters.md
           - text: Build pipelines from reuseable components
             url: tutorial-pipeline-python-sdk.md
-          - text: Use automated ML in studio
-            url: tutorial-first-experiment-automated-ml.md
-          - text: Train with R
-            url: how-to-r-train-model.md
   # Card
   - title: Deploy models
     linkLists:
@@ -84,10 +89,6 @@ landingContent:
           url: concept-endpoints.md
         - text: Real-time scoring with online endpoints
           url: how-to-deploy-online-endpoints.md
-        - text: Batch scoring with batch endpoints 
-          url: batch-inference/how-to-use-batch-endpoint.md
-        - text: Deploy R models
-          url: how-to-r-deploy-r-model.md
 
   # Card
   - title: "Manage the ML lifecycle (MLOps)"
@@ -133,6 +134,4 @@ landingContent:
         - text: Python SDK (v2) code examples
           url: https://github.com/Azure/azureml-examples/blob/main/sdk/python/README.md
         - text: CLI (v2) code examples
-          url: https://github.com/Azure/azureml-examples/blob/main/cli/README.md
-        - text: ML Studio (classic) documentation
-          url: ./classic/index.yml
+          url: https://github.com/Azure/azureml-examples/blob/main/cli/README.md