Merge pull request #50181 from theresa-i/metadata-updates

Metadata updates

Author: JamesJBarnett

learn-pr/paths/implement-generative-ai-engineering-azure-databricks/index.yml

@@ -3,9 +3,9 @@ uid: learn.wwl.implement-generative-ai-engineering-azure-databricks
 metadata:
   title: Implement Generative AI engineering with Azure Databricks
   description: Generative Artificial Intelligence (AI) engineering with Azure Databricks uses the platform's capabilities to explore, fine-tune, evaluate, and integrate advanced language models. By using Apache Spark's scalability and Azure Databricks' collaborative environment, you can design complex AI systems.
-  ms.date: 08/19/2024
+  ms.date: 04/28/2025
   author: wwlpublish
-  ms.author: madiepev
+  ms.author: theresai
   ms.topic: learning-path
 title: Implement Generative AI engineering with Azure Databricks
 prerequisites: |

learn-pr/paths/ingest-data-with-microsoft-fabric/index.yml

@@ -5,7 +5,7 @@ metadata:
   description: Explore how Microsoft Fabric enables you to ingest and orchestrate data from various sources (such as files, databases, or web services) through dataflows, notebooks, and pipelines.
   ms.date: 01/29/2025
   author: wwlpublish
-  ms.author: jamesh
+  ms.author: theresai
   ms.topic: learning-path
 title: Ingest data with Microsoft Fabric
 prerequisites: |

learn-pr/paths/manage-microsoft-fabric-environment/index.yml

@@ -3,9 +3,9 @@ uid: learn.wwl.manage-microsoft-fabric-environment
 metadata:
   title: Manage a Microsoft Fabric environment
   description: Microsoft Fabric is a Software-as-a-Service platform for data analytics. Learn how to manage your environment through Continuous Integration/Continuous Deployment (CI/CD), monitoring, and security.
-  ms.date: 12/04/2024
-  author: angierudduck
-  ms.author: anrudduc
+  ms.date: 04/28/2025
+  author: wwlpublish
+  ms.author: theresai
   ms.topic: learning-path
 title: Manage a Microsoft Fabric environment
 prerequisites: |

learn-pr/paths/microsoft-fabric-admin-governance/index.yml

@@ -3,9 +3,9 @@ uid: learn.wwl.microsoft-fabric-admin-governance
 metadata:
   title: Administer and govern Microsoft Fabric
   description: Microsoft Fabric Administration involves securing and governing data, administering the environment, and monitoring optimizing performance for efficient and compliant data management.
-  ms.date: 10/30/2024
-  author: angierudduck
-  ms.author: anrudduc
+  ms.date: 04/28/2025
+  author: wwlpublish
+  ms.author: theresai
   ms.topic: learning-path
 title: Administer and govern Microsoft Fabric
 prerequisites: |

learn-pr/wwl-data-ai/evaluate-language-models-azure-databricks/index.yml

@@ -7,7 +7,7 @@ metadata:
   author: wwlpublish
   ms.author: theresai
   ms.topic: module
-  ms.service: azure
+  ms.service: azure-databricks
   ai-usage: ai-assisted
   ms.collection: wwl-ai-copilot
 title: Evaluate language models with Azure Databricks

learn-pr/wwl-data-ai/fine-tune-azure-databricks/index.yml

@@ -7,7 +7,7 @@ metadata:
   author: wwlpublish
   ms.author: theresai
   ms.topic: module
-  ms.service: azure
+  ms.service: azure-databricks
   ai-usage: ai-assisted
   ms.custom: ai-learning-hub
   ms.collection: wwl-ai-copilot

learn-pr/wwl-data-ai/implement-cicd-in-fabric/index.yml

@@ -8,7 +8,7 @@ metadata:
   ms.author: theresai
   ms.topic: module
   ms.collection: 
-  ms.service: azure
+  ms.service: fabric
 title: Implement continuous integration and continuous delivery (CI/CD) in Microsoft Fabric
 summary: Microsoft Fabric implements CI/CD using Git integration and deployment pipelines. These tools help you collaborate with your development team and provide you with an efficient process for delivering and updating content.  
 abstract: |

learn-pr/wwl-data-ai/implement-llmops-azure-databricks/index.yml

@@ -7,7 +7,7 @@ metadata:
   author: wwlpublish
   ms.author: theresai
   ms.topic: module
-  ms.service: azure
+  ms.service: azure-databricks
   ai-usage: ai-assisted
   ms.collection:  wwl-ai-copilot
 title: Implement LLMOps in Azure Databricks

learn-pr/wwl-data-ai/introduction-language-models-databricks/index.yml

@@ -1,42 +1,42 @@
-### YamlMime:Module
-uid: learn.wwl.introduction-language-models-databricks
-metadata:
-  title: Get started with language models in Azure Databricks
-  description: Get started with language models in Azure Databricks
-  ms.date: 03/20/2025
-  author: wwlpublish
-  ms.author: theresai
-  ms.topic: module
-  ms.service: azure
-  ai-usage: ai-assisted
-  ms.custom: ai-learning-hub
-  ms.collection: wwl-ai-copilot
-title: Get started with language models in Azure Databricks
-summary: Large Language Models (LLMs) have revolutionized various industries by enabling advanced natural language processing (NLP) capabilities. These language models are utilized in a wide array of applications, including text summarization, sentiment analysis, language translation, zero-shot classification, and few-shot learning. 
-abstract: |
-  In this module, you learn how to:
-  - Describe Generative AI.
-  - Describe Large Language Models (LLMs).
-  - Identify key components of LLM applications.
-  - Use LLMs for Natural Language Processing (NLP) tasks.
-prerequisites: |
-  Before starting this module, you should be familiar with Azure Databricks. Consider completing [Explore Azure Databricks](/training/modules/explore-azure-databricks?azure-portal=true) before starting this module.
-iconUrl: /learn/achievements/describe-azure-databricks.svg
-levels:
-- intermediate
-roles:
-- data-engineer
-products:
-- azure-databricks
-units:
-- learn.wwl.introduction-language-models-databricks.introduction
-- learn.wwl.introduction-language-models-databricks.what-is-generative-ai
-- learn.wwl.introduction-language-models-databricks.what-are-large-language-models
-- learn.wwl.introduction-language-models-databricks.key-components-llms
-- learn.wwl.introduction-language-models-databricks.use-llms
-- learn.wwl.introduction-language-models-databricks.exercise
-- learn.wwl.introduction-language-models-databricks.knowledge-check
-- learn.wwl.introduction-language-models-databricks.summary
-badge:
-  uid: learn.wwl.introduction-language-models-databricks.badge
-
+### YamlMime:Module
+uid: learn.wwl.introduction-language-models-databricks
+metadata:
+  title: Get started with language models in Azure Databricks
+  description: Get started with language models in Azure Databricks
+  ms.date: 03/20/2025
+  author: wwlpublish
+  ms.author: theresai
+  ms.topic: module
+  ms.service: azure-databricks
+  ai-usage: ai-assisted
+  ms.custom: ai-learning-hub
+  ms.collection: wwl-ai-copilot
+title: Get started with language models in Azure Databricks
+summary: Large Language Models (LLMs) have revolutionized various industries by enabling advanced natural language processing (NLP) capabilities. These language models are utilized in a wide array of applications, including text summarization, sentiment analysis, language translation, zero-shot classification, and few-shot learning. 
+abstract: |
+  In this module, you learn how to:
+  - Describe Generative AI.
+  - Describe Large Language Models (LLMs).
+  - Identify key components of LLM applications.
+  - Use LLMs for Natural Language Processing (NLP) tasks.
+prerequisites: |
+  Before starting this module, you should be familiar with Azure Databricks. Consider completing [Explore Azure Databricks](/training/modules/explore-azure-databricks?azure-portal=true) before starting this module.
+iconUrl: /learn/achievements/describe-azure-databricks.svg
+levels:
+- intermediate
+roles:
+- data-engineer
+products:
+- azure-databricks
+units:
+- learn.wwl.introduction-language-models-databricks.introduction
+- learn.wwl.introduction-language-models-databricks.what-is-generative-ai
+- learn.wwl.introduction-language-models-databricks.what-are-large-language-models
+- learn.wwl.introduction-language-models-databricks.key-components-llms
+- learn.wwl.introduction-language-models-databricks.use-llms
+- learn.wwl.introduction-language-models-databricks.exercise
+- learn.wwl.introduction-language-models-databricks.knowledge-check
+- learn.wwl.introduction-language-models-databricks.summary
+badge:
+  uid: learn.wwl.introduction-language-models-databricks.badge
+

learn-pr/wwl-data-ai/multistage-reasoning-azure-databricks/index.yml

@@ -7,7 +7,7 @@ metadata:
   author: wwlpublish
   ms.author: theresai
   ms.topic: module
-  ms.service: azure
+  ms.service: azure-databricks
   ai-usage: ai-assisted
   ms.custom: ai-learning-hub
   ms.collection: wwl-ai-copilot