Merge pull request #53763 from GraemeMalcolm/main

Updated AI Language and Speech modules for Foundry Tools

Author: JamesJBarnett

learn-pr/wwl-data-ai/analyze-text-ai-language/1-introduction.yml

@@ -6,7 +6,7 @@ metadata:
   description: Introduction
   author: ivorb
   ms.author: berryivor
-  ms.date: 05/12/2025
+  ms.date: 03/10/2026
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
@@ -15,4 +15,3 @@ labModal: false
 durationInMinutes: 1
 content: |
   [!include[](includes/1-introduction.md)]
-

learn-pr/wwl-data-ai/analyze-text-ai-language/10-summary.yml

@@ -6,7 +6,7 @@ metadata:
   description: Summary
   author: ivorb
   ms.author: berryivor
-  ms.date: 05/12/2025
+  ms.date: 03/10/2026
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
@@ -15,4 +15,3 @@ labModal: false
 durationInMinutes: 1
 content: |
   [!include[](includes/10-summary.md)]
-

learn-pr/wwl-data-ai/analyze-text-ai-language/2-provision-resource.yml

@@ -1,12 +1,12 @@
 ### YamlMime:ModuleUnit
 uid: learn.wwl.analyze-text-ai-language.provision-resource
-title: Provision an Azure Language resource
+title: Azure Language in Microsoft Foundry Tools
 metadata:
-  title: Provision an Azure Language resource
-  description: Provision an Azure Language resource
+  title: Azure Language in Microsoft Foundry Tools
+  description: Azure Language in Microsoft Foundry Tools is accessed through a Microsoft Foundry resource.
   author: ivorb
   ms.author: berryivor
-  ms.date: 05/12/2025
+  ms.date: 03/10/2026
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
@@ -15,4 +15,3 @@ labModal: false
 durationInMinutes: 3
 content: |
   [!include[](includes/2-provision-resource.md)]
-

learn-pr/wwl-data-ai/analyze-text-ai-language/3-detect-language.yml

@@ -6,13 +6,12 @@ metadata:
   description: Detect language
   author: ivorb
   ms.author: berryivor
-  ms.date: 05/12/2025
+  ms.date: 03/10/2026
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
 azureSandbox: false
 labModal: false
-durationInMinutes: 5
+durationInMinutes: 3
 content: |
   [!include[](includes/3-detect-language.md)]
-

learn-pr/wwl-data-ai/analyze-text-ai-language/4-extract-key-phrases.yml

@@ -6,13 +6,12 @@ metadata:
   description: Extract key phrases
   author: ivorb
   ms.author: berryivor
-  ms.date: 05/12/2025
+  ms.date: 03/10/2026
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
 azureSandbox: false
 labModal: false
-durationInMinutes: 2
+durationInMinutes: 3
 content: |
   [!include[](includes/4-extract-key-phrases.md)]
-

learn-pr/wwl-data-ai/analyze-text-ai-language/5-analyze-sentiment.yml

@@ -6,7 +6,7 @@ metadata:
   description: Analyze sentiment
   author: ivorb
   ms.author: berryivor
-  ms.date: 05/12/2025
+  ms.date: 03/10/2026
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
@@ -15,4 +15,3 @@ labModal: false
 durationInMinutes: 3
 content: |
   [!include[](includes/5-analyze-sentiment.md)]
-

learn-pr/wwl-data-ai/analyze-text-ai-language/6-extract-entities.yml

@@ -6,7 +6,7 @@ metadata:
   description: Extract entities
   author: ivorb
   ms.author: berryivor
-  ms.date: 05/12/2025
+  ms.date: 03/10/2026
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
@@ -15,4 +15,3 @@ labModal: false
 durationInMinutes: 3
 content: |
   [!include[](includes/6-extract-entities.md)]
-

learn-pr/wwl-data-ai/analyze-text-ai-language/7-extract-linked-entities.yml

@@ -6,7 +6,7 @@ metadata:
   description: Extract linked entities
   author: ivorb
   ms.author: berryivor
-  ms.date: 05/12/2025
+  ms.date: 03/10/2026
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
@@ -15,4 +15,3 @@ labModal: false
 durationInMinutes: 3
 content: |
   [!include[](includes/7-extract-linked-entities.md)]
-

learn-pr/wwl-data-ai/analyze-text-ai-language/8-exercise-analyze-text.yml

@@ -6,11 +6,10 @@ metadata:
   description: Exercise - Analyze text
   author: ivorb
   ms.author: berryivor
-  ms.date: 05/12/2025
+  ms.date: 03/10/2026
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
 durationInMinutes: 30
 content: |
   [!include[](includes/8-exercise-analyze-text.md)]
-

learn-pr/wwl-data-ai/analyze-text-ai-language/9-knowledge-check.yml

@@ -6,7 +6,7 @@ metadata:
   description: Knowledge check
   author: ivorb
   ms.author: berryivor
-  ms.date: 05/12/2025
+  ms.date: 03/10/2026
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
@@ -16,26 +16,25 @@ labModal: false
 durationInMinutes: 3
 quiz:
   questions:
-  - content: "How should you create an application that monitors the comments on your company's web site and flags any negative posts?"
-    choices:
-    - content: "Use the Azure Language service to extract key phrases."
-      isCorrect: false
-      explanation: "Incorrect. Key phrases might help understand what the customer is posting about, but they don't indicate positive or negative feedback."
-    - content: "Use the Azure Language service to perform sentiment analysis of the comments."
-      isCorrect: true
-      explanation: "Correct. Sentiment analysis helps you determine if text is negative or positive."
-    - content: "Use the Azure Language service to extract named entities from the comments."
-      isCorrect: false
-      explanation: "Incorrect. Named entities might help understand what the customer is posting about, but they don't indicate positive or negative feedback."
-  - content: "You are analyzing text that contains the word \"Paris\". How might you determine if this word refers to the French city or the character in Homer's \"The Iliad\"?"
-    choices:
-    - content: "Use the Azure Language service to extract key phrases."
-      isCorrect: false
-      explanation: "Incorrect. Key phrases are terms that indicate the main themes of the text, not specific entities that are mentioned."
-    - content: "Use the Azure Language service to detect the language of the text."
-      isCorrect: false
-      explanation: "Incorrect. The language text is written in doesn't help identify which \"Paris\" is being referenced."
-    - content: "Use the Azure Language service to extract linked entities."
-      isCorrect: true
-      explanation: "Correct. Linked entities enable you to disambiguate common entities of the same name."
-
+    - content: "How should you create an application that monitors the comments on your company's web site and flags any negative posts?"
+      choices:
+        - content: "Use Azure Language in Foundry Tools to extract key phrases."
+          isCorrect: false
+          explanation: "Incorrect. Key phrases might help understand what the customer is posting about, but they don't indicate positive or negative feedback."
+        - content: "Use Azure Language in Foundry Tools to perform sentiment analysis of the comments."
+          isCorrect: true
+          explanation: "Correct. Sentiment analysis helps you determine if text is negative or positive."
+        - content: "Use Azure Language in Foundry Tools to extract named entities from the comments."
+          isCorrect: false
+          explanation: "Incorrect. Named entities might help understand what the customer is posting about, but they don't indicate positive or negative feedback."
+    - content: 'You are analyzing text that contains the word "Paris". How might you determine if this word refers to the French city or the character in Homer''s "The Iliad"?'
+      choices:
+        - content: "Use Azure Language in Foundry Tools to extract key phrases."
+          isCorrect: false
+          explanation: "Incorrect. Key phrases are terms that indicate the main themes of the text, not specific entities that are mentioned."
+        - content: "Use Azure Language in Foundry Tools to detect the language of the text."
+          isCorrect: false
+          explanation: 'Incorrect. The language text is written in doesn''t help identify which "Paris" is being referenced.'
+        - content: "Use Azure Language in Foundry Tools to extract linked entities."
+          isCorrect: true
+          explanation: "Correct. Linked entities enable you to disambiguate common entities of the same name."