Tweak learning labs pages (#2446)

## Type of change

Docs improvement

### What should this PR do?

- Add missing link to index page
- Remove use of "we"
- Remove link to event pages since labs notes pages replaces them

### Why are we making this change?

Follow up to prior PR.

### What are the acceptance criteria? 

Review

### How should this PR be tested?

n.a.

Author: mosabua

content/software-security/learning-labs/_index.md

@@ -22,6 +22,7 @@ The lab notes often include demo projects, a slide presentation, sample
 commands, links to specific sections in the video, and pointers to more
 resources:
 
+- [AI with Hardened Container Images - July 2025](/software-security/learning-labs/ll202506/)
 - [Chainguard Libraries for Python - June 2025](/software-security/learning-labs/ll202506/)
 - [Chainguard Libraries for Java - May 2025](/software-security/learning-labs/ll202505/)
 

content/software-security/learning-labs/ll202506.md

@@ -57,24 +57,23 @@ build tools, configuring repository managers, and running example application bu
 
 ## Demo
 
-In the demo, we switch a Flask application to use Chainguard Libraries for Python, sourcing dependencies from a repository manager (Artifactory) set up to pull first from the Chainguard Libraries for Python index with a fallback to the Python Package Index (PyPI).
+In the demo, Patrick switches a Flask application to use Chainguard Libraries for Python, sourcing dependencies from a repository manager (Artifactory) set up to pull first from the Chainguard Libraries for Python index with a fallback to the Python Package Index (PyPI).
 
 [Demo Flask Application](https://github.com/chainguard-dev/cg-images-python-migration/tree/libraries-demo)
 
-We demonstrate two approaches. First, we modify the `~/.pip/pip.conf` file to pull from the virtual repository set up in the repository manager:
+Patrick demonstrates two approaches. First, he modifies the `~/.pip/pip.conf` file to pull from the virtual repository set up in the repository manager:
 
 ```
 [global]
 index-url = <repository-url>
 ```
 
-After changing this global setting, we install and run the application from a virtual environment, then use Chainguard's `libCheck` tool to test the provenance of the packages in the virtual environment. Chainguard is in the process of releasing this tool under an open source license.
+After changing this global setting, Patrick installs and runs the application from a virtual environment, then uses Chainguard's `libCheck` tool to test the provenance of the packages in the virtual environment. Chainguard is in the process of releasing this tool under an open source license.
 
-We also update the demo application's `requirements.txt` file and build and run the application from a Chainguard Container.
+Patrick  also updates the demo application's `requirements.txt` file and build and run the application from a Chainguard Container.
 
 ## Resource Links
 
-- [Event page](https://events.chainguard.dev/0bcb08ad-2ba1-447b-b87e-703f04d7ef11/)
 - [Slide deck](/downloads/learning-lab-python-libraries.pdf)
 - [Chainguard Libraries](https://www.chainguard.dev/libraries)
 - [Chainguard Libraries documentation](/chainguard/libraries/overview/)

content/software-security/learning-labs/ll202507.md

@@ -41,7 +41,7 @@ The July 2025 Learning Lab with Patrick Smyth covers AI with Hardened Container
 
 ## Demo
 
-In the demo, we train and run inference on an image classification model using PyTorch and Chainguard's hardened container image. The model classifies images of octopuses, whales, and penguins, demonstrating how to work with AI workloads securely.
+In the demo, Patrick trains and runs inference on an image classification model using PyTorch and Chainguard's hardened container image. The model classifies images of octopuses, whales, and penguins, demonstrating how to work with AI workloads securely.
 
 [Demo Repository: PyTorch Getting Started](https://github.com/chainguard-dev/pytorch-getting-started/blob/main/learning-lab.md)
 
@@ -65,7 +65,7 @@ docker run --user root --rm -it \
   "/home/nonroot/octopus-detector/image_classification.py"
 ```
 
-This will generate a model file named `octopus_whale_penguin_model.pt`.
+This command generates a model file named `octopus_whale_penguin_model.pt`.
 
 ### Running Inference
 
@@ -91,11 +91,9 @@ The demo showcases how Chainguard's hardened PyTorch image provides the same fun
 
 ## Resources
 
-- [Event page](https://goldcast.ondemand.goldcast.io/on-demand/3ec17730-bff5-40b3-b5d9-23c90ac26828)
 - [Slide deck](/downloads/learning-lab-ai-images.pdf)
 - [Demo repository](https://github.com/chainguard-dev/pytorch-getting-started)
 - [Chainguard AI/ML Supply Chain Security Course](https://courses.chainguard.dev/securing-ai)
 - [Getting Started with the PyTorch Chainguard Container](https://edu.chainguard.dev/chainguard/chainguard-images/getting-started/pytorch/)
 - [PyTorch Container Overview](https://images.chainguard.dev/directory/image/pytorch/overview)
 - [Beyond Zero: Eliminating Vulnerabilities in PyTorch Container Images (PyTorch 2024)](https://edu.chainguard.dev/chainguard/chainguard-images/about/beyond_zero_pytorch_2024/)
-