Add learning path using AWS IoT Greengrass to deploy apps on AVH

content/learning-paths/embedded-systems/avh_greengrass/2setup.md

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+---
+title: Setup your AWS IoT Greengrass account
+weight: 2
+
+### FIXED, DO NOT MODIFY
+layout: learningpathall
+---
+
+## Before you begin
+
+You will need a user account for [Arm Virtual Hardware 3rd Party Hardware](https://avh.arm.com/). Refer to [Arm Virtual Hardware install guide](/install-guides/avh#thirdparty) for more information.
+
+You will also need a user account for [Amazon AWS](https://aws.amazon.com). This service requires a credit card to use, but this tutorial will only use resources that fall under the free tier, so you can follow along without paying anything.
+
+## Create a Device
+
+From the AVH dashboard, click on the `Create Device` button. You will be presented with a list of devices to choose from, for this tutorial we are using a Raspberry Pi 4, so select that device.
+
+![create device](./create_device.png)
+
+On the next screen you will be asked to configure your device by choosing the firmware to use. AWS IoT Greengrass Core will run on either the Ubuntu Server or Raspberry Pi OS firmware images. For this tutorial we will be using the Ubuntu Server firmware. Select that and click `Next`.
+
+The last step is to give your new AVH device a unique name. You can use whatever you'd like, or go with `greengrass-testing-device` for this tutorial. You do not need to set any advances boot options.
+
+![device ready](device_ready.png)
+
+Once the device creation is complete, log in with the default username `pi` and password `raspberry`.
+
+You are now ready to install AWS IoT Greengrass Core onto your virtual Raspberry Pi.
+
+## Install AWS IoT Greengrass Core
+
+AWS IoT Greengrass Core is the software component that runs on your IoT devices. You will need to install and configure it on your new AVH device, using the console provided by AVH or over an SSH connection.
+
+Follow the [AWS IoT Greengrass install guide](../../../install-guides/aws-greengrass-v2.md) to finish setting up your device.
+

content/learning-paths/embedded-systems/avh_greengrass/3deploy.md

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+---
+title: Deploy an AWS IoT Greengrass component to your device
+weight: 3
+
+### FIXED, DO NOT MODIFY
+layout: learningpathall
+---
+
+## Create a new Greengrass Deployment
+
+In AWS IoT Greengrass you manage your set of applications (called Components) in what they call a Deployment. You define a Deployment as a set of Components and their configurations. Deployments can be revises to change configurations or add/remove components.
+
+![deployments screen](gg_deployments.png)
+
+In the AWS IoT console, navigate to `Manage -> Greengrass devices -> Deployments` on the right-side navigation, then click the `Create` button to start a new Greengrass deployment.
+
+![create deployment screen](gg_create_deployment.png)
+
+Call you deployment `AVH-Testing` and for the Deployment Target select `Thing group` and the `MyGreengrassCoreGroup` that was created when you followed the AWS IoT Greengrass Install Guide. 
+
+![select components screen](gg_select_components.png)
+
+The next step is to select which Components should be in your Deployment. For this tutorial we are going to keep it simple and deploy the AWS Greengrass CLI (which is different from the AWS CLI) onto our virtual device. In the Public Components section, search for `CLI` and then select `aws.greengrass.Cli` from the list.
+
+There is no configuration you need to do for the AWS Greengrass CLI component, so you can skip the next couple of screens until you get to the `Review` step. Here you can verify your component selection and deployment target before clicking the `Deploy` button.
+
+## Verify your deployment
+
+After deploying you will be redirected to your `AVH-Testing` deployment page.
+
+![deployment overview](gg_deployment_overview.png)
+
+After a moment you should see that the deployment to your `MyGreengrassCore` device was successful.
+
+![device components](gg_device_components.png)
+
+Clicking on that device will now show you a list of installed and running Components.
+
+Finally, return to your AVH console and run the AWS Greengrass CLI
+
+```bash { target="ubuntu:latest" command_line="pi@ubuntu:~$ | 2-15"}
+/greengrass/v2/bin/greengrass-cli --help
+Usage: greengrass-cli [-hV] [--ggcRootPath=<ggcRootPath>] [COMMAND]
+Greengrass command line interface
+
+      --ggcRootPath=<ggcRootPath>
+                  The AWS IoT Greengrass V2 root directory.
+  -h, --help      Show this help message and exit.
+  -V, --version   Print version information and exit.
+Commands:
+  help                Show help information for a command.
+  component           Retrieve component information and stop or restart components.
+  deployment          Create local deployments and retrieve deployment status.
+  logs                Analyze Greengrass logs.
+  get-debug-password  Generate a password for use with the HTTP debug view component.
+  pubsub              Publish or subscribe to local topic.
+  iotcore             Publish or subscribe to IoT Core.
+  ```
+
+  ## Revising your deployment
+
+  This is only the first revision of your Deployment. Going forward you can add more Components, remove the Greengrass CLI component, and change configurations by simply revising your `AVH-Testing` deployment.
+
+  ![revise a deployment](gg_revise_deployment.png)
+
+  When you create a new revision of your deployment, the new Components and configurations will be automatically deployed to every device in your deployment simultaneously.

content/learning-paths/embedded-systems/avh_greengrass/_index.md

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+---
+title: Deploy IoT apps using AWS IoT Greengrass with Arm Virtual Hardware
+
+description: Learn how to deploy applications from the Balena Hub onto Arm Virtual Hardware
+
+minutes_to_complete: 30
+
+who_is_this_for: This is an introductory topic for embedded software developers new to AWS IoT Greengrass.
+
+learning_objectives: 
+    - Instantiate Arm Virtual Hardware instances
+    - Deploy pre-built AWS IoT Greengrass components on Arm Virtual Hardware
+
+prerequisites:
+    - An account on [Amazon AWS](https://aws.amazon.com.com)
+    - Some familiarity with embedded programming is assumed
+
+author_primary: Michael Hall
+
+### Tags
+skilllevels: Introductory
+subjects: Embedded Linux
+armips:
+    - Cortex-A
+operatingsystems:
+    - Linux
+tools:
+    - Arm Virtual Hardware
+    - AWS IoT Greengrass
+
+
+### FIXED, DO NOT MODIFY
+# ================================================================================
+weight: 1                       # _index.md always has weight of 1 to order correctly
+layout: "learningpathall"       # All files under learning paths have this same wrapper
+learning_path_main_page: "yes"  # This should be surfaced when looking for related content. Only set for _index.md of learning path content.
+---

content/learning-paths/embedded-systems/avh_greengrass/_next-steps.md

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+---
+next_step_guidance: You now have the beginnings of a group of virtual IoT devices and the ability to deploy and manage applications to them. Try out other public AWS Greengrass components by revising your deployment, or create your own custom AWS Greengrass components.
+
+recommended_path: /learning-paths/embedded-systems
+
+further_reading:
+    - resource:
+        title: AWS IoT Greengrass CLI documentation 
+        link: https://docs.aws.amazon.com/greengrass/v2/developerguide/greengrass-cli-component.html
+        type: documentation
+    - resource:
+        title: Develop AWS IoT Greengrass components
+        link: https://docs.aws.amazon.com/greengrass/v2/developerguide/develop-greengrass-components.html
+        type: documentation
+    - resource:
+        title: AWS IoT Greengrass v2 Developer Guide 
+        link: https://docs.aws.amazon.com/greengrass/v2/developerguide/what-is-iot-greengrass.html
+        type: website
+
+
+# ================================================================================
+#       FIXED, DO NOT MODIFY
+# ================================================================================
+weight: 21                  # set to always be larger than the content in this path, and one more than 'review'
+title: "Next Steps"         # Always the same
+layout: "learningpathall"   # All files under learning paths have this same wrapper
+---

content/learning-paths/embedded-systems/avh_greengrass/_review.md

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+---
+review:
+    - questions:
+        question: >
+            What is an application in AWS IoT Greegrass called?
+        answers:
+            - App
+            - Block
+            - Component
+            - Package
+        correct_answer: 3                    
+        explanation: >
+            Applications in AWS IoT Greengrass are referred to as "Components".
+
+    - questions:
+        question: >
+            What is a collection of components and configurations in AWS IoT Greengrass called?
+        answers:
+            - Container
+            - Deployment
+            - Fleet
+            - Image
+        correct_answer: 2                   
+        explanation: >
+            Sets of applications (or Components) are referred to as "Deployments".
+
+    - questions:
+        question: >
+            How can you change what components or configurations are in your deployment?
+        answers:
+            - Delete the current deployment and create a new one
+            - Create a new deployment alongside your existing one
+            - Revise your existing deployment with new components
+            - You can not modify a deployment
+        correct_answer: 3          
+        explanation: >
+            AWS IoT Greengrass lets you revise your existing deployments to change configurations or add/remove components.
+
+
+
+# ================================================================================
+#       FIXED, DO NOT MODIFY
+# ================================================================================
+title: "Review"                 # Always the same title
+weight: 20                      # Set to always be larger than the content in this path
+layout: "learningpathall"       # All files under learning paths have this same wrapper
+---