changed files by pdets auto publish service, publishid[fad25be1-c1f1-451f-a9af-d82c082a8e3f] and do [publish].

Author: wwlpublish

learn-pr/wwl-azure/guided-project-create-ai-travel-agent/1-introduction.yml

@@ -2,17 +2,14 @@
 uid: learn.wwl.guided-project-create-ai-travel-agent.introduction
 title: Introduction
 metadata:
-  adobe-target: true
-  prefetch-feature-rollout: true
   title: Introduction
-  description: Introduction
+  description: "Introduction"
+  ms.date: 01/23/2025
   author: wwlpublish
   ms.author: buzahid
-  ms.date: 06/11/2024
   ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
+  ms.custom:
+  - N/A
 durationInMinutes: 3
 content: |
-  [!include[](includes/1-introduction.md)]
-
+  [!include[](includes/1-introduction.md)]

learn-pr/wwl-azure/guided-project-create-ai-travel-agent/2-prepare.yml

@@ -2,17 +2,14 @@
 uid: learn.wwl.guided-project-create-ai-travel-agent.prepare
 title: Prepare for guided project
 metadata:
-  adobe-target: true
-  prefetch-feature-rollout: true
   title: Prepare for guided project
-  description: Prepare for guided project
+  description: "Prepare for guided project"
+  ms.date: 01/23/2025
   author: wwlpublish
   ms.author: buzahid
-  ms.date: 06/11/2024
   ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
+  ms.custom:
+  - N/A
 durationInMinutes: 5
 content: |
-  [!include[](includes/2-prepare.md)]
-
+  [!include[](includes/2-prepare.md)]

learn-pr/wwl-azure/guided-project-create-ai-travel-agent/3-exercise-create-currency-converter.yml

@@ -2,17 +2,14 @@
 uid: learn.wwl.guided-project-create-ai-travel-agent.exercise-create-currency-converter
 title: Exercise - Create a currency converter
 metadata:
-  adobe-target: true
-  prefetch-feature-rollout: true
   title: Exercise - Create a currency converter
-  description: Exercise - Create a currency converter
+  description: "Exercise - Create a currency converter"
+  ms.date: 01/23/2025
   author: wwlpublish
   ms.author: buzahid
-  ms.date: 06/11/2024
   ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
+  ms.custom:
+  - N/A
 durationInMinutes: 10
 content: |
-  [!include[](includes/3-exercise-create-currency-converter.md)]
-
+  [!include[](includes/3-exercise-create-currency-converter.md)]

learn-pr/wwl-azure/guided-project-create-ai-travel-agent/4-exercise-create-travel-itenerary.yml

@@ -0,0 +1,15 @@
+### YamlMime:ModuleUnit
+uid: learn.wwl.guided-project-create-ai-travel-agent.exercise-create-travel-itenerary
+title: Exercise - Create travel itenerary
+metadata:
+  title: Exercise - Create travel itenerary
+  description: "Exercise - Create travel itenerary"
+  ms.date: 01/23/2025
+  author: wwlpublish
+  ms.author: buzahid
+  ms.topic: unit
+  ms.custom:
+  - N/A
+durationInMinutes: 10
+content: |
+  [!include[](includes/4-exercise-create-travel-itenerary.md)]

learn-pr/wwl-azure/guided-project-create-ai-travel-agent/4-exercise-route-user-intent.yml

@@ -0,0 +1,15 @@
+### YamlMime:ModuleUnit
+uid: learn.wwl.guided-project-create-ai-travel-agent.exercise-require-approval-for-actions
+title: Exercise - Provide context cues
+metadata:
+  title: Exercise - Provide context cues
+  description: "Exercise - Provide context cues"
+  ms.date: 01/23/2025
+  author: wwlpublish
+  ms.author: buzahid
+  ms.topic: unit
+  ms.custom:
+  - N/A
+durationInMinutes: 10
+content: |
+  [!include[](includes/5-exercise-require-approval-for-actions.md)]

learn-pr/wwl-azure/guided-project-create-ai-travel-agent/5-exercise-provide-context-cues.yml

@@ -2,16 +2,14 @@
 uid: learn.wwl.guided-project-create-ai-travel-agent.knowledge-check
 title: Knowledge check
 metadata:
-  adobe-target: true
-  prefetch-feature-rollout: true
   title: Knowledge check
-  description: Knowledge check
+  description: "Knowledge check"
+  ms.date: 01/23/2025
   author: wwlpublish
   ms.author: buzahid
-  ms.date: 06/11/2024
   ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
+  ms.custom:
+  - N/A
 durationInMinutes: 3
 quiz:
   title: "Check your knowledge"
@@ -27,17 +25,17 @@ quiz:
     - content: "Semantic Kernel SDK is only suitable for advanced AI developers."
       isCorrect: false
       explanation: "Incorrect. The Semantic Kernel SDK is suitable for developers of all levels."
-  - content: "Which of the following is true about native functions?"
+  - content: "What is the main purpose of plugins in the Semantic Kernel SDK?"
     choices:
-    - content: "Native functions can only be used in prompts."
+    - content: "To process large language models and generate responses."
       isCorrect: false
-      explanation: "Incorrect. Native functions can be used in prompts, but they can also be invoked directly."
-    - content: "Native functions can be used in prompts, invoked directly, or called by other functions."
+      explanation: "Incorrect. Plugins are not responsible for generating responses, but for executing custom functions."
+    - content: "To encapsulate functions that can be used by the AI."
       isCorrect: true
-      explanation: "Correct. Native functions are extremely flexible and can be called in various ways."
-    - content: "Native functions can't be used in prompts."
+      explanation: "Correct. Plugins allow you to organize and expose functions to be invoked by the kernel."
+    - content: "To improve the accuracy of prompts in the AI model."
       isCorrect: false
-      explanation: "Incorrect. Native functions can be used in prompts."
+      explanation: "Incorrect. Plugins are used to execute code and interact with external systems, not to improve prompt accuracy."
   - content: "Which option assigns a role in a prompt to the large language model (LLM)?"
     choices:
     - content: "Using the `role` attribute in the `message` tag."
@@ -48,5 +46,4 @@ quiz:
       explanation: "Incorrect. The `ChatHistory` object is used to store the conversation history."
     - content: "Using the `assignRole` attribute in the `chat` tag."
       isCorrect: false
-      explanation: "Incorrect. You can assign a role to the LLM by using the `role` attribute in the `message` tag."
-
+      explanation: "Incorrect. You can assign a role to the LLM by using the `role` attribute in the `message` tag."

learn-pr/wwl-azure/guided-project-create-ai-travel-agent/5-exercise-require-approval-for-actions.yml

@@ -2,17 +2,14 @@
 uid: learn.wwl.guided-project-create-ai-travel-agent.summary
 title: Summary
 metadata:
-  adobe-target: true
-  prefetch-feature-rollout: true
   title: Summary
-  description: Summary
+  description: "Summary"
+  ms.date: 01/23/2025
   author: wwlpublish
   ms.author: buzahid
-  ms.date: 06/11/2024
   ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
+  ms.custom:
+  - N/A
 durationInMinutes: 3
 content: |
-  [!include[](includes/7-summary.md)]
-
+  [!include[](includes/7-summary.md)]

learn-pr/wwl-azure/guided-project-create-ai-travel-agent/6-knowledge-check.yml

@@ -1,6 +1,6 @@
 Suppose you're a developer for Margie's Travel, a global leader in the travel and hospitality industry. The company offers a wide range of services, including flight bookings, hotel reservations, guided tours, and vacation packages. Margie's Travel has a strong global presence, with offices and partners in major cities worldwide. With a commitment to delivering exceptional travel experiences, Margie's Travel is continuously exploring innovative technologies to enhance customer interactions and streamline travel planning. Now they're exploring the integration of cutting-edge artificial intelligence (AI) technology to enhance their services.
 
-To provide travelers with personalized and immersive travel experiences,  Margie's Travel decides to integrate a chatbot application into its digital platform. This chatbot, named "TravelBot", is a virtual travel assistant, helping customers plan their trips, discover new destinations, and create detailed itineraries. 
+To provide travelers with personalized and immersive travel experiences,  Margie's Travel decides to integrate a chatbot application into its digital platform. This chatbot, named "TravelBot", is a virtual travel assistant, helping customers discover new destinations, plan their trips, and create detailed itineraries. 
 
 You're tasked with creating a proof of concept for TravelBot, demonstrating its ability to understand natural language queries, provide intelligent responses, and assist travelers in planning their trips. To power TravelBot's intelligence and conversational capabilities, you choose to use the Semantic Kernel SDK.
 
@@ -14,9 +14,10 @@ This module guides you through the steps required to develop a proof of concept
 In this module, you practice how to: 
 
 - Create plugins for the Semantic Kernel.
-- Create prompts to elicit the best responses from the large language model (LLM).
-- Manipulate LLM responses to guide the execution of code.
+- Create prompts to elicit the best responses from the large language model.
+- Use the chat history to guide generated responses.
 - Automatically invoke the correct plugins to complete tasks.
+- Create function filters.
 
 ## Prerequisites