Fix merge conflicts

Author: ShawnKupfer

.openpublishing.redirection.json

@@ -5335,3 +5335,63 @@ achievements:
   title: NVIDIA DeepStream embedded device deployment with Azure
   summary: In this module, you'll publish and deploy an ARM-based DeepStream container workload to NVIDIA embedded hardware by using Azure IoT Edge.
   iconUrl: /training/achievements/nvidia-deepstream-embedded-device-deployment-azure.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
+  summary: In this module, you'll create a C# console application that sends SMS messages using a phone number provisioned via Azure Communication Services.
+  iconUrl: /training/achievements/communication-service-send-sms-console-app.svg
+- uid: learn.student-evangelism.build-ml-model-with-azure-stream-analytics.badge
+  type: badge
+  title: Track wild polar bears with AI
+  summary: Detect and track polar bears through photos using AI, and then use Power BI to show where cameras spot polar bears.
+  iconUrl: /training/achievements/student-evangelism/build-ml-model-with-azure-stream-analytics-badge.svg
+- uid: learn.reactors.blockchain-tokens.badge
+  type: badge
+  title: Create tokens using OpenZeppelin
+  summary: Learn about the significance of tokens and how they are used in blockchain.
+  iconUrl: /training/achievements/reactors/blockchain-tokens.svg
+- uid: learn.reactors.blockchain-solidity-ethereum-smart-contracts.badge
+  type: badge
+  title: Write Ethereum smart contracts by using Solidity
+  summary: Learn how to install and use tools that you can use to develop smart contracts.
+  iconUrl: /training/achievements/reactors/blockchain-solidity-ethereum-smart-contracts.svg
+- uid: learn.reactors.blockchain-learning-solidity.badge
+  type: badge
+  title: Learn how to use Solidity
+  summary: Discover how Solidity can make it easy to program smart contracts for the Ethereum blockchain platform.
+  iconUrl: /training/achievements/reactors/blockchain-learning-solidity.svg
+- uid: learn.reactors.blockchain-ethereum-networks.badge
+  type: badge
+  title: Connect and deploy to Ethereum networks
+  summary: Learn about and use Ethereum networks for development, testing, and production.
+  iconUrl: /training/achievements/reactors/blockchain-ethereum-networks.svg
+- uid: learn.ethereum-blockchain-development.trophy
+  type: trophy
+  title: Get started with blockchain development
+  summary: This learning path introduces you to blockchain and development on the Ethereum platform. Discover what skills are necessary to learn to begin building your own blockchain networks at scale.
+  iconUrl: /training/achievements/ethereum-blockchain-development.svg