Fixing per content author

Author: Randall-Knapp

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/2-architect-role-ai-transformation-businesses.yml

@@ -10,20 +10,4 @@ metadata:
   ms.topic: unit
 durationInMinutes: 3
 content: |
-  [!include[](includes/2-architect-role-ai-transformation-businesses.md)]
-quiz:
-  questions:
-  - content: "Which responsibility ensures AI initiatives align with business priorities?"
-    choices:
-    - content: "Integration"
-      isCorrect: false
-      explanation: "Incorrect. Integration connects AI services with enterprise workflows but does not directly ensure alignment with business priorities."
-    - content: "Vision & Roadmap"
-      isCorrect: true
-      explanation: "Correct. Vision & Roadmap defines the AI adoption strategy aligned with business priorities."
-    - content: "Performance Monitoring"
-      isCorrect: false
-      explanation: "Incorrect. Performance Monitoring establishes KPIs and monitors effectiveness, but does not define the alignment with business priorities."
-    - content: "Data Architecture"
-      isCorrect: false
-      explanation: "Incorrect. Data Architecture ensures data readiness and governance, but does not directly align AI initiatives with business priorities."
+  [!include[](includes/2-architect-role-ai-transformation-businesses.md)]

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/3-microsoft-ai-technologies-overview.yml

@@ -10,20 +10,4 @@ metadata:
   ms.topic: unit
 durationInMinutes: 3
 content: |
-  [!include[](includes/3-microsoft-ai-technologies-overview.md)]
-quiz:
-  questions:
-  - content: "Which service provides prebuilt APIs for vision and speech?"
-    choices:
-    - content: "Azure Machine Learning"
-      isCorrect: false
-      explanation: "Incorrect. Azure Machine Learning is a platform for building, training, and deploying machine learning models, not prebuilt APIs."
-    - content: "Cognitive Services"
-      isCorrect: true
-      explanation: "Correct. Cognitive Services provides prebuilt APIs for Vision, Speech, Language, and Decision."
-    - content: "Microsoft Copilot"
-      isCorrect: false
-      explanation: "Incorrect. Microsoft Copilot is an embedded AI solution for productivity, not a service for prebuilt APIs."
-    - content: "Power BI"
-      isCorrect: false
-      explanation: "Incorrect. Power BI is a business analytics tool, not a service for prebuilt AI APIs."
+  [!include[](includes/3-microsoft-ai-technologies-overview.md)]

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/4-microsoft-ai-technologies-business-solutions.yml

@@ -10,20 +10,4 @@ metadata:
   ms.topic: unit
 durationInMinutes: 3
 content: |
-  [!include[](includes/4-microsoft-ai-technologies-business-solutions.md)]
-quiz:
-  questions:
-  - content: "Which service provides prebuilt APIs for vision and speech?"
-    choices:
-    - content: "Azure Machine Learning"
-      isCorrect: false
-      explanation: "Incorrect. Azure Machine Learning is a platform for building, training, and deploying machine learning models, not prebuilt APIs."
-    - content: "Cognitive Services"
-      isCorrect: true
-      explanation: "Correct. Cognitive Services provides prebuilt APIs for Vision, Speech, Language, and Decision."
-    - content: "Microsoft Copilot"
-      isCorrect: false
-      explanation: "Incorrect. Microsoft Copilot is an embedded AI solution for productivity, not a service for prebuilt APIs."
-    - content: "Power BI"
-      isCorrect: false
-      explanation: "Incorrect. Power BI is a business analytics tool, not a service for prebuilt AI APIs."
+  [!include[](includes/4-microsoft-ai-technologies-business-solutions.md)]

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/5-identify-out-of-box-microsoft-ai-agent-resources.yml

@@ -10,20 +10,4 @@ metadata:
   ms.topic: unit
 durationInMinutes: 3
 content: |
-  [!include[](includes/5-identify-out-of-box-microsoft-ai-agent-resources.md)]
-quiz:
-  questions:
-  - content: "Which Microsoft resource provides prebuilt AI agents for business workflows?"
-    choices:
-    - content: "Azure Machine Learning"
-      isCorrect: false
-      explanation: "Incorrect. Azure Machine Learning is a platform for building custom ML models, not prebuilt AI agents."
-    - content: "Copilot Studio"
-      isCorrect: true
-      explanation: "Correct. Copilot Studio provides prebuilt AI agents and templates for business workflows."
-    - content: "Power BI"
-      isCorrect: false
-      explanation: "Incorrect. Power BI is a business analytics and visualization tool, not a resource for prebuilt AI agents."
-    - content: "GitHub Copilot"
-      isCorrect: false
-      explanation: "Incorrect. GitHub Copilot is an AI coding assistant, not a resource for business workflow agents."
+  [!include[](includes/5-identify-out-of-box-microsoft-ai-agent-resources.md)]

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/6-identify-out-of-box-microsoft-ai-agents.yml

@@ -10,20 +10,4 @@ metadata:
   ms.topic: unit
 durationInMinutes: 3
 content: |
-  [!include[](includes/6-identify-out-of-box-microsoft-ai-agents.md)]
-quiz:
-  questions:
-  - content: "Which Microsoft resource provides prebuilt AI agents for business workflows?"
-    choices:
-    - content: "Azure Machine Learning"
-      isCorrect: false
-      explanation: "Incorrect. Azure Machine Learning is a platform for building custom ML models, not prebuilt AI agents."
-    - content: "Copilot Studio"
-      isCorrect: true
-      explanation: "Correct. Copilot Studio provides prebuilt AI agents and templates for business workflows."
-    - content: "Power BI"
-      isCorrect: false
-      explanation: "Incorrect. Power BI is a business analytics and visualization tool, not a resource for prebuilt AI agents."
-    - content: "GitHub Copilot"
-      isCorrect: false
-      explanation: "Incorrect. GitHub Copilot is an AI coding assistant, not a resource for business workflow agents."
+  [!include[](includes/6-identify-out-of-box-microsoft-ai-agents.md)]

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/includes/1-introduction.md

@@ -1,4 +1,4 @@
-**Introduction to Agentic AI Business Solution Architecture**
+**Agentic AI Business Solution Architecture**
 
 AI transformation is more than a technology upgrade—it is a strategic shift that significantly impacts business processes, people, and organizational culture. In this evolving landscape, architects play a pivotal role in ensuring AI solutions deliver measurable business value while maintaining compliance, scalability, and security.
 

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/includes/2-architect-role-ai-transformation-businesses.md

@@ -1,32 +1,32 @@
-Learning Objectives
+### Learning Objectives
 
 By the end of this unit, learners will be able to:
 
-Explain the architect's role in driving AI adoption and transformation.
+- Explain the architect's role in driving AI adoption and transformation.
 
-Identify key responsibilities of an AI architect in business contexts.
+- Identify key responsibilities of an AI architect in business contexts.
 
-Understand how architects align AI solutions with organizational goals.
+- Understand how architects align AI solutions with organizational goals.
 
-Apply best practices for scaling AI across enterprise environments.
+- Apply best practices for scaling AI across enterprise environments.
 
-Introduction
+### Introduction
 
 AI transformation is more than a technology upgrade—it's a strategic shift that impacts processes, people, and culture. Architects play a pivotal role in ensuring AI solutions deliver measurable business value while maintaining compliance, scalability, and security.
 
-Architect's Role in AI Transformation
+### Architect's Role in AI Transformation
 
 Architects bridge the gap between business strategy and technical implementation. Their responsibilities include:
 
-Strategic Alignment: Ensure AI initiatives support organizational objectives.
+- Strategic Alignment: Ensure AI initiatives support organizational objectives.
 
-Solution Design: Create architectures that integrate AI into existing systems.
+- Solution Design: Create architectures that integrate AI into existing systems.
 
-Governance and Compliance: Establish frameworks for responsible AI use.
+- Governance and Compliance: Establish frameworks for responsible AI use.
 
-Scalability: Design solutions that grow with business needs.
+- Scalability: Design solutions that grow with business needs.
 
-AI Architect Responsibilities
+**AI Architect Responsibilities**
 
 | **Responsibility** | **Description** |
 |---|---|
@@ -36,41 +36,38 @@ AI Architect Responsibilities
 | **Security & Ethics** | Implement responsible AI principles |
 | **Performance Monitoring** | Establish KPIs and monitor effectiveness |
 
-AI Transformation Framework
+**AI Transformation Framework**
 
-Flow:<br>Business Goals → AI Strategy → Architecture Design → Implementation → Monitoring & Optimization
+Flow: Business Goals → AI Strategy → Architecture Design → Implementation → Monitoring & Optimization
 
-![Diagram showing the AI transformation framework flow from business goals through monitoring and optimization.](../media/ai-framework-flow.png)
+:::image type="content" source="../media/ai-framework-flow.png" alt-text="Diagram showing the AI transformation framework flow from business goals through monitoring and optimization.":::
 
 [Cloud Adoption Framework for AI](/azure/cloud-adoption-framework/scenarios/ai/)
 
-Best Practices for AI Architects
+**Best Practices for AI Architects:**
 
-Start with business outcomes—focus on measurable impact.
+- Start with business outcomes—focus on measurable impact.
 
-Adopt modular design for flexibility and scalability.
+- Adopt modular design for flexibility and scalability.
 
-Prioritize Responsible AI principles (fairness, transparency, accountability).
+- Prioritize Responsible AI principles (fairness, transparency, accountability).
 
-Collaborate across teams—data scientists, developers, and business leaders.
+- Collaborate across teams—data scientists, developers, and business leaders.
 
-Leverage Azure AI services for speed and reliability.
+- Leverage Azure AI services for speed and reliability.
 
-**Scaling AI Across the Enterprise**
+**Scaling AI Across the Enterprise**:
 
-**Automation:** Streamline deployment and monitoring.
+- **Automation:** Streamline deployment and monitoring.
 
-**Standardization:** Use common frameworks and tools.
+- **Standardization:** Use common frameworks and tools.
 
-**Continuous Learning:** Enable models to evolve with new data.
+- **Continuous Learning:** Enable models to evolve with new data.
 
-**User training**: Enable a culture of continuous user learning
+- **User training**: Enable a culture of continuous user learning
 
-References
+**References**:
 
 - [Azure Data and Architect Handbook](https://info.microsoft.com/ww-landing-Azure-Data-and-Architect-Handbook.html)
 - [Microsoft AI](https://www.microsoft.com/ai)
 - [Unlock AI value - Microsoft Learn](/training/modules/scale-ai/2-unlock-ai-value)
-- 
-**Discussion Question:**
-How can architects ensure Responsible AI principles are embedded in enterprise solutions?

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/includes/3-microsoft-ai-technologies-overview.md

@@ -1,60 +1,52 @@
-**Learning Objectives**
+### Learning Objectives
 
 By the end of this unit, learners will be able to:
 
-Identify core Microsoft AI services and tools.
+- Identify core Microsoft AI services and tools.
 
-Understand SDKs and development environments for Azure AI.
+- Understand SDKs and development environments for Azure AI.
 
-Explore Microsoft Copilot solutions and their business value.
+- Explore Microsoft Copilot solutions and their business value.
 
-**Introduction**
+### Introduction
 
 Microsoft AI technologies empower organizations to build intelligent solutions that enhance productivity, improve decision-making, and deliver measurable business value. This unit introduces key Azure AI services, development tools, and Copilot solutions that integrate AI into everyday workflows.
 
-**Core Components of Microsoft AI Technologies**
+### Core Components of Microsoft AI Technologies
 
-**Azure AI Services**
+**Azure AI Services**:
 
-**Cognitive Services**: Prebuilt APIs for Vision, Speech, Language, and Decision.
+- **Cognitive Services**: Prebuilt APIs for Vision, Speech, Language, and Decision.
 
-**Azure Machine Learning**: A platform for building, training, and deploying machine learning models.
+- **Azure Machine Learning**: A platform for building, training, and deploying machine learning models.
 
-**Azure OpenAI Service**: Access advanced generative AI models for natural language and creative tasks.
+- **Azure OpenAI Service**: Access advanced generative AI models for natural language and creative tasks.
 
-**Azure Foundry:** A platform designed to develop, deploy, and management of AI applications and agents.
+- **Azure Foundry:** A platform designed to develop, deploy, and management of AI applications and agents.
 
-**Tools and SDKs**
+**Tools and SDKs**:
 
-**Azure Machine Learning Studio**: Visual interface for model development and deployment.
+- **Azure Machine Learning Studio**: Visual interface for model development and deployment.
 
-**SDKs and APIs**: Available in  multiple languages to integrate AI into applications.
+- **SDKs and APIs**: Available in  multiple languages to integrate AI into applications.
 
-**CLI and REST APIs**: For automation and integration with enterprise workflows.
+- **CLI and REST APIs**: For automation and integration with enterprise workflows.
 
 **Microsoft Copilot Solutions**
 
-Embedded AI in **Microsoft 365** and **Dynamics 365**.
+- Embedded AI in **Microsoft 365** and **Dynamics 365**.
 
-Automates repetitive tasks, generates content, and provides actionable insights.
+- Automates repetitive tasks, generates content, and provides actionable insights.
 
-Enhances productivity across business processes.
+- Enhances productivity across business processes.
 
-Microsoft 365, Copilot Studio, and Azure Foundry for native AI throughout an organization. 
-
-**Visual Diagram**
+- Microsoft 365, Copilot Studio, and Azure Foundry for native AI throughout an organization.
 
 **Microsoft AI Ecosystem**
 
-Top Layer: Copilot Solutions (Microsoft 365, Dynamics 365)
-
-Middle Layer: Azure AI Services (Cognitive Services, OpenAI, Machine Learning)
-
-Bottom Layer: Tools & SDKs (Azure ML Studio, SDKs, APIs)
+:::image type="content" source="../media/microsoft-ai-agent-ecosystem.png" alt-text="Diagram showing the Microsoft AI agent ecosystem and its key components.":::
 
-_(Use a layered diagram with Microsoft brand colors in PowerPoint.)_
-
-**Chart: Key Components**
+**Key Components**
 
 | **Component** | **Purpose** |
 |---|---|
@@ -63,11 +55,9 @@ _(Use a layered diagram with Microsoft brand colors in PowerPoint.)_
 | **Azure OpenAI Service** | Generative AI for text and creativity |
 | **Copilot Solutions** | Embedded AI for productivity |
 
-**References**
+**References**:
 
 - [Azure AI services - Microsoft Learn](/training/modules/prepare-azure-ai-development/3-azure-ai-services)
 - [Tools and SDKs - Microsoft Learn](/training/modules/prepare-azure-ai-development/5-tools-and-sdks)
 - [Explore Copilot solutions - Microsoft Learn](/training/modules/business-value-microsoft-copilot-solutions/2-explore-copilot-solutions)
-- [Microsoft AI](https://www.microsoft.com/ai)
-
-**Discussion Question**<br>How can Copilot solutions improve productivity in business processes? Provide two examples.
+- [Microsoft AI](https://www.microsoft.com/ai)