pull base content,head:MicrosoftDocs:main,into:wwlpublishsync

Author: wwlpublish

.openpublishing.redirection.json

@@ -44540,6 +44540,166 @@
       "source_path": "learn-pr/azure/communication-service-send-sms-console-app/index.yml",
       "redirect_url": "https://learn.microsoft.com/training/browse/",
       "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/paths/develop-custom-object-detection-models-with-nvidia-and-azure-machine-learning/index.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-labeled-dataset-using-azure-machine-learning-data-labeling-tools/1-introduction.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-labeled-dataset-using-azure-machine-learning-data-labeling-tools/2-create-azure-machine-learning-data-labeling-project.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-labeled-dataset-using-azure-machine-learning-data-labeling-tools/3-label-images-azure-machine-learning-data-labeling-tools.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-labeled-dataset-using-azure-machine-learning-data-labeling-tools/4-export-labeled-azure-machine-learning-dataset.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-labeled-dataset-using-azure-machine-learning-data-labeling-tools/5-knowledge-check.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-labeled-dataset-using-azure-machine-learning-data-labeling-tools/6-summary.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-labeled-dataset-using-azure-machine-learning-data-labeling-tools/index.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-workspace-resources-getting-started-azure-machine-learning/1-introduction.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-workspace-resources-getting-started-azure-machine-learning/2-introduction-to-azure-machine-learning.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-workspace-resources-getting-started-azure-machine-learning/3-create-azure-storage-account.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-workspace-resources-getting-started-azure-machine-learning/4-create-azure-storage-container.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-workspace-resources-getting-started-azure-machine-learning/5-create-azure-machine-learning-workspace.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-workspace-resources-getting-started-azure-machine-learning/6-create-azure-machine-learning-compute-instance.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-workspace-resources-getting-started-azure-machine-learning/7-create-azure-machine-learning-datastore.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-workspace-resources-getting-started-azure-machine-learning/8-knowledge-check.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-workspace-resources-getting-started-azure-machine-learning/9-summary.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/create-workspace-resources-getting-started-azure-machine-learning/index.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/deploy-model-to-nvidia-triton-inference-server/1-introduction.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/deploy-model-to-nvidia-triton-inference-server/2-create-gpu-accelerated-virtual-machine.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/deploy-model-to-nvidia-triton-inference-server/3-install-prerequisites-nvidia-triton-inference-server.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/deploy-model-to-nvidia-triton-inference-server/4-execute-inference-workload-nvidia-triton-inference-server.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/deploy-model-to-nvidia-triton-inference-server/5-knowledge-check.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/deploy-model-to-nvidia-triton-inference-server/6-summary.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/deploy-model-to-nvidia-triton-inference-server/index.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/use-automl-train-labeled-dataset-develop-production-model/1-introduction.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/use-automl-train-labeled-dataset-develop-production-model/2-prepare-jupyter-notebook-workspace.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/use-automl-train-labeled-dataset-develop-production-model/3-configure-jupyter-notebook-execution-environment.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/use-automl-train-labeled-dataset-develop-production-model/4-execute-jupyter-notebook-produce-object-detection-model-automl.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/use-automl-train-labeled-dataset-develop-production-model/5-knowledge-check.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/use-automl-train-labeled-dataset-develop-production-model/6-summary.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "learn-pr/nvidia/use-automl-train-labeled-dataset-develop-production-model/index.yml",
+      "redirect_url": "https://learn.microsoft.com/training/browse/",
+      "redirect_document_id": false
     }
  ]
 }

learn-pr/achievements.yml

@@ -5325,6 +5325,31 @@ achievements:
   title: Write automated tests
   summary: Learn about the types of testing you can do with Rust.
   iconUrl: /training/achievements/rust-automated-tests.svg
+- uid: learn.nvidia.use-automl-train-labeled-dataset-develop-production-model.badge
+  type: badge
+  title: Use AutoML to train a labeled dataset and develop a production model
+  summary: Learn how to use Automated Machine Learning to train a labeled dataset and develop a production object detection model.
+  iconUrl: /training/achievements/setup-configure-nvidia-deepstream-development.svg
+- uid: learn.nvidia.deploy-model-to-nvidia-triton-inference-server.badge
+  type: badge
+  title: Deploy model to NVIDIA Triton Inference Server
+  summary: NVIDIA Triton Inference Server is a multi-framework, open-source software that is optimized for inference. It supports popular machine learning frameworks like TensorFlow, Open Neural Network Exchange (ONNX) Runtime, PyTorch, NVIDIA TensorRT, and more. It can be used for your CPU or GPU workloads. In this module, you deploy your production model to NVIDIA Triton server to perform inference on a cloud-hosted virtual machine.
+  iconUrl: /training/achievements/introduction-nvidia-deepstream-graph-composer-azure.svg
+- uid: learn.nvidia.develop-custom-object-detection-models-with-nvidia-and-azure-machine-learning.trophy
+  type: trophy
+  title: Develop Custom Object Detection Models with NVIDIA and Azure Machine Learning
+  summary: Azure Machine Learning studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.  Learn how to develop custom object detection models using this service with NVIDIA GPU accelerated virtual machines.
+  iconUrl: /training/achievements/nvidia-deepstream-development-with-microsoft-azure-social.png
+- uid: learn.nvidia.create-workspace-resources-getting-started-azure-machine-learning.badge
+  type: badge
+  title: Create workspace resources for getting started with Azure Machine Learning
+  summary: In this module, you learn how to create resources for getting started with Azure Machine Learning.
+  iconUrl: /training/achievements/setup-configure-nvidia-deepstream-development.svg
+- uid: learn.nvidia.create-labeled-dataset-using-azure-machine-learning-data-labeling-tools.badge
+  type: badge
+  title: Create a labeled dataset using Azure Machine Learning data labeling tools
+  summary: Learn how to use Azure Machine Learning data labeling to create, manage, and monitor data labeling projects.
+  iconUrl: /training/achievements/setup-configure-nvidia-deepstream-development.svg
 - uid: learn.azure.communication-service-send-sms-console-app.badge
   type: badge
   title: Send an SMS message from a C# console application with Azure Communication Services

learn-pr/azure/multi-table-queries-with-kusto-query-language/1-introduction.yml

@@ -5,7 +5,7 @@ metadata:
   unitType: introduction
   title: This unit introduces you to writing Kusto Query Language (KQL) queries to combine and retrieve data from two or more tables.
   description: Introduction
-  ms.date: 01/03/2024
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit

learn-pr/azure/multi-table-queries-with-kusto-query-language/2-multi-table-queries.yml

@@ -5,7 +5,7 @@ metadata:
   unitType: learning-content
   title: Combine and optimize data
   description: In this unit, you learn about various ways to combine and optimize data by using Kusto queries.
-  ms.date: 01/03/2024
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit

learn-pr/azure/multi-table-queries-with-kusto-query-language/3-exercise-connect-to-resources.yml

@@ -4,8 +4,8 @@ title: Exercise - Connect to resources
 metadata:
   unitType: exercise
   title: Exercise - Connect to resources
-  description: In this exercise, you'll learn how to connect to a database that holds the sales data.
-  ms.date: 01/03/2024
+  description: In this exercise, you learn how to connect to a database that holds the sales data.
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit

learn-pr/azure/multi-table-queries-with-kusto-query-language/4-exercise-join-types.yml

@@ -4,8 +4,8 @@ title: Exercise - Combine table results by using the join operator
 metadata:
   unitType: exercise
   title: Exercise - Combine table results by using the join operator
-  description: In this exercise, you'll learn how to combine table results by using the join operator.
-  ms.date: 01/03/2024
+  description: In this exercise, you learn how to combine table results by using the join operator.
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit

learn-pr/azure/multi-table-queries-with-kusto-query-language/5-exercise-lookup.yml

@@ -4,8 +4,8 @@ title: Exercise - Combine table results by using the lookup operator
 metadata:
   unitType: exercise
   title: Exercise - Combine table results by using the lookup operator
-  description: In this exercise, you'll combine table results by using the lookup operator.
-  ms.date: 01/03/2024
+  description: In this exercise, you combine table results by using the lookup operator.
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit

learn-pr/azure/multi-table-queries-with-kusto-query-language/6-exercise-union.yml

@@ -4,8 +4,8 @@ title: Exercise - Combine table results by using the union operator
 metadata:
   unitType: exercise
   title: Exercise - Combine table results by using the union operator
-  description: In this exercise, you'll use the union operator to combine sales facts that were collected from various countries/regions.
-  ms.date: 01/03/2024
+  description: In this exercise, you use the union operator to combine sales facts that were collected from various countries/regions.
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit

learn-pr/azure/multi-table-queries-with-kusto-query-language/7-exercise-materialize.yml

@@ -4,8 +4,8 @@ title: Exercise - Optimize queries by using the materialize function
 metadata:
   unitType: exercise
   title: Exercise - Optimize queries by using the materialize function
-  description: In this exercise, you'll use the materialize function to optimize queries.
-  ms.date: 01/03/2024
+  description: In this exercise, you use the materialize function to optimize queries.
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit

learn-pr/azure/multi-table-queries-with-kusto-query-language/8-knowledge-check.yml

@@ -5,7 +5,7 @@ metadata:
   unitType: knowledge_check
   title: Knowledge check
   description: "Review what you learned about multi-table queries in the Kusto Query language."
-  ms.date: 01/03/2024
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit