Merge pull request ArmDeveloperEcosystem#2486 from DougAnsonAustinTX/ei_lp_structure_update

jasonrandrews · web-flow · commit 3ec77f9f2093 · 2025-10-29T15:15:40.000-05:00
flattened the Edge Impulse Greengrass LP. Added new metadata option to hide pages from nav pane
diff --git a/content/learning-paths/cross-platform/_example-learning-path/appendix-1-formatting.md b/content/learning-paths/cross-platform/_example-learning-path/appendix-1-formatting.md
@@ -301,3 +301,4 @@ You can also give a custom title as specified here.
 {{% /notice %}}
 
 
+
diff --git a/content/learning-paths/cross-platform/_example-learning-path/questions.md b/content/learning-paths/cross-platform/_example-learning-path/questions.md
@@ -30,3 +30,4 @@ Modify the weight values to be unique and the extra buttons will disappear.
 ### Why aren't my changes showing up under Learning Paths? 
 
 There are various reasons this can happen. One being that the top links on the page will take you to the external site. Make sure that you are still viewing the Hugo server on `localhost`.
+
diff --git a/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/customcomponentdeployment.md b/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/customcomponentdeployment.md
@@ -12,7 +12,7 @@ In this section, we will create an AWS IoT Greengrass deployment that will downl
 
 ### 0. (Non-Camera Edge Devices Only): Additional Custom Component 
 
-If your edge device does not contain a camera (i.e. EC2 edge device), you will need to deploy an additional custom component. Please follow [these steps](./NonCameraCustomComponent.md) to get the additional component created. You will be selecting this component in addition to the custom component we created for the Edge Impulse "Runner" service. 
+If your edge device does not contain a camera (i.e. EC2 edge device), you will need to deploy an additional custom component. Please follow [these steps](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/noncameracustomcomponent/) to get the additional component created. You will be selecting this component in addition to the custom component we created for the Edge Impulse "Runner" service. 
 
 ### 1. Deploy the custom component to a selected Greengrass edge device or group of edge devices. 
 
diff --git a/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardwaresetup.md b/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardwaresetup.md
@@ -8,17 +8,15 @@ layout: learningpathall
 
 ## Edge Device Hardware Setup
 
-First, an edge device must be setup. In the following sections, Linux-compatible edge devices are detailed to enable them to receive and run as a AWS IoT Greengrass edge device. The list of supported devices will grow over time. 
+##### First, an edge device must be setup. In the following sections, Linux-compatible edge devices are detailed to enable them to receive and run as a AWS IoT Greengrass edge device. The list of supported devices will grow over time. Please select one of the following and follow the "Setup" link:
 
-Please select one of the following and follow the "Setup" link...
+### Option 1: Ubuntu EC2 Instance [Setup](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/HardwareSetupEC2/)
 
-### Option 1: Ubuntu EC2 Instance [Setup](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardware/HardwareSetupEC2/)
+### Option 2: Qualcomm QC6490 Platforms with Ubuntu [Setup](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/HardwareSetupQC6490Ubuntu/)
 
-### Option 2: Qualcomm QC6490 Platforms with Ubuntu [Setup](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardware/HardwareSetupQC6490Ubuntu/)
+### Option 3: Nvidia Jetson Platforms with Jetpack 5.x/6.0 [Setup](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/HardwareSetupNvidiaJetson/)
 
-### Option 3: Nvidia Jetson Platforms with Jetpack 5.x/6.0 [Setup](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardware/HardwareSetupNvidiaJetson/)
-
-### Option 4: Raspberry Pi 5 with RaspberryPi OS [Setup](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardware/HardwareSetupRPi5/)
+### Option 4: Raspberry Pi 5 with RaspberryPi OS [Setup](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/HardwareSetupRPi5/)
 
 
 #### (More exciting device options will be added soon. Stay tuned!)
diff --git a/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardwaresetupec2.md b/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardwaresetupec2.md
@@ -1,3 +1,10 @@
+---
+hide_from_navpane: true
+
+### FIXED, DO NOT MODIFY
+layout: learningpathall
+---
+
 ## Setup and Configuration for Ubuntu-based EC2 instance
 
 ### Create Ubuntu EC2 Instance
@@ -6,42 +13,42 @@ AWS EC2 instances can be used to simulate edge devices when edge device hardware
 
 We'll start by opening our AWS Console and search for EC2:
 
-![AWS Console](../images/EC2_Setup_1.png)
+![AWS Console](./images/EC2_Setup_1.png)
 
 We'll now open the EC2 console page:
 
-![AWS EC2 Console](../images/EC2_Setup_2.png)
+![AWS EC2 Console](./images/EC2_Setup_2.png)
 
 Select "Launch instance". Provide a Name for the EC2 instance and select the "Ubuntu" Quick Start option. Additionally, select "64-bit(Arm)" as the architecture type and select "t4g.large" as the Instance type:
 
-![Create EC2 Instance](../images/EC2_Setup_3.png)
+![Create EC2 Instance](./images/EC2_Setup_3.png)
 
 Additionally, please click on "Create new Key Pair" and provide a name for a new SSH key pair that will be used to SSH into our EC2 instance. Press "Create key pair":
 
-![Create EC2 Keypair](../images/EC2_Setup_4.png)
+![Create EC2 Keypair](./images/EC2_Setup_4.png)
 
 >**_NOTE:_**
 >You will notice that a download will occur with your browser. Save off this key (a .pem file) as we'll use it shortly.
 
 Next, we need to edit our "Network Settings" for our EC2 instance... scroll down to "Network Settings" and press "Edit":
 
-![Security Group](../images/EC2_Setup_4_ns.png)
+![Security Group](./images/EC2_Setup_4_ns.png)
 
 Press "Add security group rule" and lets allow port tcp/4912:
 
-![Security Group](../images/EC2_Setup_4_4912.png)
+![Security Group](./images/EC2_Setup_4_4912.png)
 
 Lets also give the EC2 instance a bit more disk space. Please change the "8" to "28" here:
 
-![Increase disk space](../images/EC2_Setup_5.png)
+![Increase disk space](./images/EC2_Setup_5.png)
 
 Finally, press "Launch instance". You should see your EC2 instance getting created:
 
-![Launch Instance](../images/EC2_Setup_6.png)
+![Launch Instance](./images/EC2_Setup_6.png)
 
 Now, press "View all instances" and press the refresh button... you should see your new EC2 instance in the "Running" state:
 
-![Running Instance](../images/EC2_Setup_7.png)
+![Running Instance](./images/EC2_Setup_7.png)
 
 You can scroll over and save off your Public IPv4 IP Address. You'll need this to SSH into your EC2 instance. 
 
@@ -55,7 +62,7 @@ Lets now confirm that we can SSH into our EC2 instance. With the saved off pem f
 
 You should see a login shell now for your EC2 instance!
 
-![Login Shell](../images/EC2_Setup_8.png)
+![Login Shell](./images/EC2_Setup_8.png)
 
 Excellent! You can keep that shell open as we'll make use of it when we start installing Greengrass a bit later. 
 
@@ -105,6 +112,6 @@ Before we go to the next section, lets also save off this JSON - it will be used
 	   }  
 	}
 
-OK, Lets proceed to the next step and get our Edge Impulse environment setup!
+OK, Lets proceed to the next step and get our Edge Impulse environment setup!  Press "Next" to continue:
 
-[Next](../../edgeimpulseprojectbuild/)
+### [Next](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/edgeimpulseprojectbuild/)
diff --git a/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardwaresetupnvidiajetson.md b/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardwaresetupnvidiajetson.md
@@ -1,3 +1,10 @@
+---
+hide_from_navpane: true
+
+### FIXED, DO NOT MODIFY
+layout: learningpathall
+---
+
 ## Install/Configure Nvidia Jetpack (Jetson devices)
 
 The workshop will assume that the Nvidia Jetson edge device has been loaded with Jetpack 5.x and/or Jetpack 6.0 per flashing instructions located at this [Nvidia website](https://docs.nvidia.com/jetson/archives/r34.1/DeveloperGuide/index.html#page/Tegra%20Linux%20Driver%20Package%20Development%20Guide/flashing.html).
@@ -87,6 +94,6 @@ We are now setup!  Before we continue, please save off the following JSONs. Thes
 	   }  
 	}  
 
-OK!  Lets continue by getting our Edge Impulse project setup! Let's go!
+OK!  Lets continue by getting our Edge Impulse project setup! Let's go! Press "Next" to continue:
 
-[Next](../../edgeimpulseprojectbuild/)
+### [Next](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/edgeimpulseprojectbuild/)
diff --git a/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardwaresetupqc6490ubuntu.md b/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardwaresetupqc6490ubuntu.md
@@ -1,3 +1,10 @@
+---
+hide_from_navpane: true
+
+### FIXED, DO NOT MODIFY
+layout: learningpathall
+---
+
 ## Ubuntu-based QC6490 platforms
 
 First, please flash your QC6490 device per your manufacturers instructions to load up Ubuntu onto the device.
@@ -120,6 +127,6 @@ We are now setup!  Before we continue, please save off the following JSONs. Thes
 	   }  
 	}  
 
-OK!  Lets continue by getting our Edge Impulse project setup! Let's go!
+OK!  Lets continue by getting our Edge Impulse project setup! Let's go! Press "Next" to continue:
 
-[Next](../../edgeimpulseprojectbuild/)
+### [Next](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/edgeimpulseprojectbuild/)
diff --git a/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardwaresetuprpi5.md b/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/hardwaresetuprpi5.md
@@ -1,3 +1,10 @@
+---
+hide_from_navpane: true
+
+### FIXED, DO NOT MODIFY
+layout: learningpathall
+---
+
 ## Setup and configuration of Raspberry Pi 5 with Raspberry Pi OS
 
 ### Install RaspberryPi OS
@@ -8,7 +15,7 @@ First step in this exercise is to install the latest version of the Raspberry Pi
 
 The easiest way to setup Raspberry Pi OS is to follow the instructions here after downloading and installing the Raspberry Pi Imager application:
 
-![Raspberry Pi Imager](../images/RPi_Imager.png)
+![Raspberry Pi Imager](./images/RPi_Imager.png)
 
 Instructions: [Install Raspberry Pi Imager](https://www.raspberrypi.com/software/)
 
@@ -101,6 +108,6 @@ Lastly, please safe off these JSONs.  These will be used to customize our AWS Gr
 	   }  
 	}  
 
-Alright!  Lets continue by getting our Edge Impulse project setup! Let's go!
+Alright!  Lets continue by getting our Edge Impulse project setup! Let's go! Press "Next" to continue:
 
-[Next](../../edgeimpulseprojectbuild/)
+### [Next](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/edgeimpulseprojectbuild/)
diff --git a/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/noncameracustomcomponent.md b/content/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/noncameracustomcomponent.md
@@ -1,3 +1,10 @@
+---
+hide_from_navpane: true
+
+### FIXED, DO NOT MODIFY
+layout: learningpathall
+---
+
 ## Non-Camera Custom Component
 
 For those edge devices that do not contain a camera, the following component will prepare the edge device with some sample images that can be referenced by the Edge Impulse "Runner" component's JSON configuration (via "gst\_args" settings) to direct the running model to pull its image data from the file (vs. camera). 
@@ -31,16 +38,16 @@ Next, we need to edit the EdgeImpulseRunnerRuntimeInstallerComponent.yaml and ch
 
 Within the AWS dashboard, go to the IoTCore dashboard, then navigate to "Components" under the "Greengrass devices" drop-down on the left hand side. 
 
-![CreateComponent](GG_Create_NC_Component_1.png)
+![CreateComponent](./images/GG_Create_NC_Component_1.png)
 
 Press "Create Component" and select "YAML" as the recipe format type. Copy and paste the contents of your updated/modified file EdgeImpulseRunnerRuntimeInstallerComponent.yaml into the text window after clearing the initial contents:
 
-![CreateComponent](GG_Create_NC_Component_2.png)
+![CreateComponent](./images/GG_Create_NC_Component_2.png)
 
 Finally, press "Create Component" and you should now have 2 custom components registered:
 
-![CreateComponent](GG_Create_NC_Component_3.png)
+![CreateComponent](./images/GG_Create_NC_Component_3.png)
 
 Awesome!  Now that the non-camera support component is created, we can go back and continue with the deployment of these components to your edge device via the AWS IoT Greengrass deployment mechanism. Press "Return to Deployment Steps" below and continue!
 
-[Return to Deployment Steps](../6_CustomComponentDeployment/CustomComponentDeployment.md)
+### [Return to Deployment Steps](/learning-paths/embedded-and-microcontrollers/edge_impulse_greengrass/customcomponentdeployment/)
diff --git a/themes/arm-design-system-hugo-theme/layouts/learning-paths/learningpathall.html b/themes/arm-design-system-hugo-theme/layouts/learning-paths/learningpathall.html
@@ -47,12 +47,15 @@ <h6 id="learning-path-title" class="u-margin-top-1/2" style="font-size:1em; font
             {{ $counter := 0 }}       <!-- Counter to track index-->
             {{ range .Site.Pages.ByWeight }}
                 {{ if .File}}
-                    {{ if (eq .File.Dir $thisdir)}}
-                        {{ $learningpathfiles = $learningpathfiles | append . }}
-
-                        <!-- Call partial to fill out navigation tabs -->
-                        {{partial "navigation/content-navigation.html" (dict "context" . "thisfile" $thisfile "counter" $counter) }}
-                        {{ $counter = add $counter 1 }}
+                   <!-- Add option for metadata to optionally hide page from navigation pane-->
+                   {{ if ne .Params.hide_from_navpane true  }}
+                        {{ if (eq .File.Dir $thisdir)}}
+                            {{ $learningpathfiles = $learningpathfiles | append . }}
+
+                            <!-- Call partial to fill out navigation tabs -->
+                            {{partial "navigation/content-navigation.html" (dict "context" . "thisfile" $thisfile "counter" $counter) }}
+                            {{ $counter = add $counter 1 }}
+                        {{ end }}
                     {{ end }}
                 {{end}}
             {{end}} 
@@ -91,4 +94,4 @@ <h6 id="learning-path-title" class="u-margin-top-1/2" style="font-size:1em; font
     </div>
 </div>
 
-{{end}}
+{{end}}

Original file line number	Diff line number	Diff line change
`@@ -301,3 +301,4 @@ You can also give a custom title as specified here.`
`301`	`301`	`{{% /notice %}}`
`302`	`302`
`303`	`303`
	`304`	`+`
Original file line number	Diff line number	Diff line change
`@@ -30,3 +30,4 @@ Modify the weight values to be unique and the extra buttons will disappear.`
`30`	`30`	`### Why aren't my changes showing up under Learning Paths?`
`31`	`31`
`32`	`32`	There are various reasons this can happen. One being that the top links on the page will take you to the external site. Make sure that you are still viewing the Hugo server on `localhost`.
	`33`	`+`