Merge pull request #50542 from ivorb/lp-rebrand

build rebrand LPs

Author: JamesJBarnett

learn-pr/paths/develop-ai-agents-azure-open-ai-semantic-kernel-sdk/index.yml

@@ -12,7 +12,7 @@ prerequisites: |
   -   Experience programming in C#.
   -   Visual Studio Code IDE installed.
   -   Familiarity with Azure and the Azure portal.
-  -   Access to Azure OpenAI Services.
+  -   Access to Azure OpenAI.
 summary: |
   Learn how to use the Semantic Kernel SDK to build intelligent applications that automate tasks and perform natural language processing.
 iconUrl: /training/achievements/generic-trophy.svg

learn-pr/paths/develop-ai-agents-on-azure/index.yml

@@ -2,7 +2,7 @@
 uid: learn.wwl.develop-ai-agent-on-azure
 metadata:
   title: Develop AI Agents on Azure 
-  description: Learn how to develop AI agents on Azure using the Azure AI Agent Service and Semantic Kernel Agent Framework. AI-3026
+  description: Learn how to develop AI agents on Azure using the Azure AI Foundry Agent Service and Semantic Kernel Agent Framework. AI-3026
   ms.date: 02/24/2025
   author: wwlpublish
   ms.author: berryivor
@@ -12,7 +12,7 @@ title: Develop AI agents on Azure
 prerequisites: |
   Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the [Get started with artificial intelligence](/training/paths/get-started-with-artificial-intelligence-on-azure) learning path first.
 summary: |
-  Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Azure AI Agent Service and Semantic Kernel Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.
+  Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Azure AI Foundry Agent Service and Semantic Kernel Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.
 iconUrl: /training/achievements/generic-badge.svg
 levels:
 - intermediate

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

@@ -1,8 +1,8 @@
 ### YamlMime:LearningPath
 uid: learn.wwl.develop-ai-solutions-azure-openai
 metadata:
-  title: Develop Generative AI solutions with Azure OpenAI Service
-  description: Develop Generative AI solutions with Azure OpenAI Service
+  title: Develop Generative AI solutions with Azure OpenAI in Foundry Models
+  description: Develop Generative AI solutions with Azure OpenAI in Foundry Models
   ms.date: 12/03/2024
   author: ivorb
   ms.author: berryivor
@@ -11,14 +11,14 @@ metadata:
     - build-2023
     - build-2023-dataai
     - ai-learning-hub
-title: Develop Generative AI solutions with Azure OpenAI Service
+title: Develop Generative AI solutions with Azure OpenAI in Foundry Models
 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: |
-  Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT and Embeddings models. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure AI Foundry.
+  Azure OpenAI in Foundry Models provides access to OpenAI's powerful large language models such as GPT and Embeddings models. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure AI Foundry.
 iconUrl: /training/achievements/develop-ai-solutions-azure-openai.svg
 levels:
 - intermediate