update reamde links2

docs/azure_jumpstart_ag/manufacturing/contoso_motors/troubleshooting/_index.md

@@ -47,7 +47,7 @@ Occasionally, you may need to review log output from scripts that run on the _Ag
 
 ### Authorization errors when deploying Azure IoT Operations
 
-If you see authorization errors during the automation, please make sure to review the [prerequisites](../deployment#prerequisites) in the deployment guide.
+If you see authorization errors during the automation, please make sure to review the [prerequisites](../deployment/#prerequisites) in the deployment guide.
 
 ### Error loading dashboards with Azure Data Explorer
 

docs/azure_jumpstart_ag/manufacturing/contoso_motors/welding_defect/_index.md

@@ -57,7 +57,7 @@ This diagram shows the welding defect inference flow, which consists of five mai
 
 ![Welding defect UI](./img/welding_ui.png)
 
-If you're interested in learning more about the AI inference flow, check out the [AI Inference Architecture](./ai_inferencing#architecture) page for additional information.
+If you're interested in learning more about the AI inference flow, check out the [AI Inference Architecture](../ai_inferencing/#architecture) page for additional information.
 
 ### Model
 

docs/azure_jumpstart_ag/manufacturing/contoso_motors/workers_safety/_index.md

@@ -50,7 +50,7 @@ This diagram shows the workers safety inference flow, which consists of five mai
 
     Once the image is processed, is then served to the main application to render it to the user. Final image contains the result of the worker safety inference (**helmet**, **head** and **person**) and the probability of the result.
 
-If you're interested in learning more about the AI inference flow, check out the [AI Inference Architecture](./ai_inferencing#architecture) page for additional information.
+If you're interested in learning more about the AI inference flow, check out the [AI Inference Architecture](../ai_inferencing/#architecture) page for additional information.
 
 ### Model