Fixing build issues

Author: buzahid

learn-pr/wwl-data-ai/orchestrate-sk-multi-agent-solution/6-knowledge-check.yml

@@ -20,7 +20,7 @@ quiz:
       - content: "A storage system used to manage user data" 
         isCorrect: false 
         explanation: "Incorrect. Agents do not function as data storage systems; they perform tasks based on user interaction and intent."
-        - content: "An autonomous system that interacts with users and performs specific tasks based on user input and intent" 
+      - content: "An autonomous system that interacts with users and performs specific tasks based on user input and intent." 
         isCorrect: true 
         explanation: "Correct. In the Semantic Kernel Agent Framework, agents are autonomous systems that interact with users, interpret input, and perform tasks tailored to the user's needs."
   - content: "How does the Semantic Kernel Agent Framework select the right agent for a task?" 

learn-pr/wwl-data-ai/orchestrate-sk-multi-agent-solution/draft/4-create-azure-ai-agent.md

@@ -1 +1,7 @@
-In this module, you learned how the Semantic Kernel Agent Framework enables developers to build collaborative AI agents. You learned about agent selection, multi-agent collaboration, and termination strategies to understand how agents interact, process input, and determine conversation flow. You also learned how selection and termination strategies ensure efficiency and goal completion in agent-driven workflows. By applying these concepts and skills, you can leverage the Semantic Kernel Agent Framework to create dynamic, adaptable AI solutions that enhance user interactions and automate complex tasks.
+In this module, you learned how the Semantic Kernel Agent Framework enables developers to build collaborative AI agents. You learned about agent selection, multi-agent collaboration, and termination strategies to understand how agents interact, process input, and determine conversation flow. You also learned how selection and termination strategies ensure efficiency and goal completion in agent-driven workflows. By applying these concepts and skills, you can leverage the Semantic Kernel Agent Framework to create dynamic, adaptable AI solutions that enhance user interactions and automate complex tasks.
+
+More reading:
+
+- Learn more about the [Semantic Kernel Agent Framework](https://learn.microsoft.com/semantic-kernel/frameworks/agent/?pivots=programming-language-python)
+- Learn more about [Semantic Kernel Plugins](https://learn.microsoft.com/semantic-kernel/concepts/plugins/?pivots=programming-language-python)
+- Practice [developing generative AI apps with Semantic Kernel](https://learn.microsoft.com/training/paths/develop-ai-agents-azure-open-ai-semantic-kernel-sdk/)