Merge pull request #54404 from MicrosoftDocs/main

learn-build-service-prod[bot] · web-flow · commit 05ed98160272 · 2026-04-27T07:10:17.000Z
Auto Publish – main to live - 2026-04-27 07:00 UTC
diff --git a/learn-pr/philanthropies/tailoring-trainings-with-ai/includes/5-summary.md b/learn-pr/philanthropies/tailoring-trainings-with-ai/includes/5-summary.md
@@ -9,5 +9,3 @@ In a technology-driven era, the convergence of AI and education yields numerous
 1. Papaspyridis A. [AI in Higher Education: opportunities and considerations](https://news.microsoft.com/apac/2020/03/26/ai-in-higher-education-opportunities-and-considerations/). Microsoft. Published March 26, 2020. Accessed May 28, 2025.
 
 1. [Preparing students for the future](https://educationblog.microsoft.com/2023/04/preparing-students-for-the-future). Microsoft. Published April 11, 2023. Accessed May 28, 2025.
-
-1. [Empowering Learning and well-being in the city of Helsinki using data and AI](https://customers.microsoft.com/story/1477362858581906559-helsinki-k12-edu-azure-en-finland). Microsoft. Published March 29, 2022. Accessed May 28, 2025.
diff --git a/learn-pr/quantum/explore-entanglement/includes/4-what-is-teleportation.md b/learn-pr/quantum/explore-entanglement/includes/4-what-is-teleportation.md
@@ -44,7 +44,7 @@ The message qubit is in the unknown state :::no-loc text="$\\alpha \\ket{0}_m +
 :::no-loc text="$$ \\ket{\\text{System}} = \\frac1{2} \\ket{\\phi^+}\\_\\text{mA} (\\alpha\\ket{0}\\_B + \\beta\\ket{1}\\_B) $$":::
 :::no-loc text="$$\\qquad\\qquad + \\frac1{2} \\ket{\\phi^-}\\_\\text{mA} (\\alpha\\ket{0}\\_B - \\beta\\ket{1}\\_B) $$":::
 :::no-loc text="$$\\qquad\\qquad + \\frac1{2} \\ket{\\psi^+}\\_\\text{mA} (\\alpha\\ket{1}\\_B + \\beta\\ket{0}\\_B) $$":::
-:::no-loc text="$$\\qquad\\qquad + \\frac1{2} \\ket{\\psi^-}\\_\\text{mA} (\\alpha\\ket{1}\\_B - \\beta\ket{0}\\_B) $$":::
+:::no-loc text="$$\\qquad\\qquad + \\frac1{2} \\ket{\\psi^-}\\_\\text{mA} (\\alpha\\ket{1}\\_B - \\beta\\ket{0}\\_B) $$":::
 
 The three-qubit state of Alice and Bob's qubits is an equal superposition of four possible states.
 
diff --git a/learn-pr/wwl-azure/describe-business-benefits-azure/includes/6-reduce-your-carbon-footprint-azure.md b/learn-pr/wwl-azure/describe-business-benefits-azure/includes/6-reduce-your-carbon-footprint-azure.md
@@ -22,5 +22,4 @@ In addition to improving our energy efficiency, Microsoft aims to be water-posit
 When using Microsoft Azure, you can access specialized tools to track your sustainability goals.
 
  -  An [Emissions Impact Dashboard](https://www.microsoft.com/sustainability/emissions-impact-dashboard?rtc=1&activetab=pivot:mostpopulartab) enables you to track the carbon emissions (and reductions) of your cloud investments.
- -  The [Emissions Savings Estimator](https://gw.us-il301.gateway.prod.island.powerapps.com/customerenrollmentservice/estimator/index.html) tool can show you how much you might save in emissions by switching to Azure. (This is a bit tech-oriented!)
  -  The [Microsoft Cloud for Sustainability](/industry/sustainability/) product is a package of tools for monitoring your sustainability in the cloud.
diff --git a/learn-pr/wwl-azure/get-tips-tricks-teach-az-104-microsoft-azure-administrator/includes/7-explore-best-practices-for-learning-path-4.md b/learn-pr/wwl-azure/get-tips-tricks-teach-az-104-microsoft-azure-administrator/includes/7-explore-best-practices-for-learning-path-4.md
@@ -20,7 +20,7 @@ This learning path consists of three lessons:
 - Explain that NSGs is not a substitute for firewalls by quickly explaining defense in depth
 
 Learning Path 4 Demos
-- [Demo 04: Administer Virtual Networking](https://microsoftlearning.github.io/AZ-104-MicrosoftAzureAdministrator/Instructions/Demos/04%20-%20Administer%20VIrtual%20Networking.html) 
+- [Demo 04: Administer Virtual Networking](https://microsoftlearning.github.io/AZ-104-MicrosoftAzureAdministrator/Instructions/Demos/04%20-%20Administer%20Virtual%20Networking.html) 
 
 Learning Path 4 Labs/Exercises
 - [Lab 04: Implement Virtual Networking](https://microsoftlearning.github.io/AZ-104-MicrosoftAzureAdministrator/Instructions/Labs/LAB_04-Implement_Virtual_Networking.html)
diff --git a/learn-pr/wwl-azure/get-tips-tricks-teach-az-104-microsoft-azure-administrator/includes/8-explore-best-practices-for-learning-path-5.md b/learn-pr/wwl-azure/get-tips-tricks-teach-az-104-microsoft-azure-administrator/includes/8-explore-best-practices-for-learning-path-5.md
@@ -21,7 +21,7 @@ This learning path consists of two lessons:
 - End of Learning Path Review Activity slide can be helpful for understanding the concepts 
 
 Learning Path 5 Demos
-- [Demo 05: Administer Intersite Connectivity](https://microsoftlearning.github.io/AZ-104-MicrosoftAzureAdministrator/Instructions/Demos/04%20-%20Administer%20VIrtual%20Networking.html)
+- [Demo 05: Administer Intersite Connectivity](https://microsoftlearning.github.io/AZ-104-MicrosoftAzureAdministrator/Instructions/Demos/04%20-%20Administer%20Virtual%20Networking.html)
 
 Learning Path 5 Labs/Exercises
 - [Lab 05: Implement Intersite Connectivity](https://microsoftlearning.github.io/AZ-104-MicrosoftAzureAdministrator/Instructions/Labs/LAB_05-Implement_Intersite_Connectivity.html)
diff --git a/learn-pr/wwl-data-ai/define-microsoft-ai-strategy-sustainability/includes/5-discover-ai-protect-natural-resources.md b/learn-pr/wwl-data-ai/define-microsoft-ai-strategy-sustainability/includes/5-discover-ai-protect-natural-resources.md
@@ -24,6 +24,4 @@ The technical basis for the use case is **Foundry Tools**’ functionalities for
 
 The solution is already saving months of experts’ time and boosting their **productivity**. The process now takes only weeks instead of months, and one person instead of two. In the medium term, the goal is to fully automate the process and replicate it for other monitoring projects.
 
-To learn more, read [Washington State Department of Natural Resources uses Azure AI to automate aquatic resource monitoring, saving months of experts’ time](https://aka.ms/wa-nat-customer-story).
-
 Next, let’s examine a sustainability use case in the mobility sector.
diff --git a/learn-pr/wwl-data-ai/get-tips-tricks-for-teaching-dp-100-designing-implementing-data-science-solution/includes/12-explore-best-practices-dp-100-learning-path-9.md b/learn-pr/wwl-data-ai/get-tips-tricks-for-teaching-dp-100-designing-implementing-data-science-solution/includes/12-explore-best-practices-dp-100-learning-path-9.md
@@ -25,4 +25,4 @@ Learning Path 9 Demo (optional)
 Learning Path 9 Labs
 
 - [Lab 9.1: Log and register models with MLflow](https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/10-Log-mlflow-models.html)
-- [Lab 9.2: Compare and evaluate models](https://microsoftlearning.github.io/mslearn-azure-ml/Instructions/10-Compare-models.html)
+- [Lab 9.2: Compare and evaluate models](https://microsoftlearning.github.io/mslearn-azure-ml/)
diff --git a/learn-pr/wwl/get-started-data-warehouse/includes/9-summary.md b/learn-pr/wwl/get-started-data-warehouse/includes/9-summary.md
@@ -2,7 +2,7 @@ In this module, you learned how data warehouses use dimensional modeling to orga
 
 Without a platform like Microsoft Fabric, building this kind of warehouse environment would require provisioning and managing dedicated SQL infrastructure, configuring separate storage and compute, and manually integrating data across siloed systems. A Fabric data warehouse eliminates that complexity by combining full T-SQL capabilities with OneLake integration in a single, governed platform that supports both traditional analytics and AI-powered experiences.
 
-To learn advanced T-SQL transformation patterns like staging workflows, incremental loads, and MERGE-based upserts, continue to the [Transform data using T-SQL](/training/modules/transform-data-with-tsql/) module.
+To learn advanced T-SQL transformation patterns like staging workflows, incremental loads, and MERGE-based upserts, continue to the [Transform data using T-SQL](/training/modules/modify-data-with-transact-sql/) module.
 
 ## Learn more
 
