Merge branch 'main' of https://github.com/KenMAG/learn-pr

Author: Ken Lawson

learn-pr/azure/run-docker-with-azure-container-instances/includes/2-run-aci.md

@@ -29,8 +29,6 @@ For scenarios where you need full container orchestration, including service dis
     az group create --name learn-deploy-aci-rg --location eastus
     ```
 
-    Create a container by providing a name, a Docker image, and an Azure resource group to the `az container create` command. You can optionally expose the container to the Internet by specifying a DNS name label. In this example, deploy a container that hosts a small web app. You can also select the location to place the image; we use the **East US** region, but you can change it to a location close to you.
-
 1. Provide a DNS name to expose your container to the Internet. Your DNS name must be unique. For learning purposes, run this command from Cloud Shell to create a Bash variable that holds a unique name:
 
     ```azurecli

learn-pr/paths/develop-language-solutions-azure-ai/index.yml

@@ -1,20 +1,20 @@
 ### YamlMime:LearningPath
 uid: learn.wwl.develop-language-solutions-azure-ai
 metadata:
-  title: Develop natural language processing solutions with Azure AI Services AI-3003
-  description: Develop natural language processing solutions with Azure AI Services (AI-3003)
-  ms.date: 09/14/2023
+  title: Develop natural language solutions in Azure
+  description: Develop natural language solutions in Azure
+  ms.date: 06/09/2025
   author: ivorb
   ms.author: berryivor
   ms.topic: learning-path
-title: Develop natural language processing solutions with Azure AI Services
+title: Develop natural language solutions in Azure
 prerequisites: |
   Before starting this learning path, you should already have:
   *   Familiarity with Azure and the Azure portal.
   *   Experience programming with C# or Python.
   If you have no previous programming experience, we recommend you complete the [Take your first steps with C#](/training/paths/csharp-first-steps/) or [Take your first steps with Python](/training/paths/python-first-steps/) learning path before starting this one.
 summary: |
-  Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.
+  Natural language solutions use language models to interpret the semantic meaning of written or spoken language, and in some cases respond based on that meaning. You can use the Language service to build language models for your applications, and explore Azure AI Foundry to use generative models for speech.
 iconUrl: /training/achievements/create-language-solution-azure-cognitive-services.svg
 levels:
 - intermediate