fix: update wording for clarity and add new image to README

Author: scubaninja

Using-GitHub-Copilot-with-CSharp/README.md

@@ -30,7 +30,7 @@ By the end of this module, you'll acquire the skills to be able to:
 
 1. Enable your [GitHub Copilot service](https://github.com/github-copilot/signup)
 
-1. Get familiar with [this repository with Codespaces](https://github.com/github/dotnet-codespaces)
+1. Open [this repository with Codespaces](https://github.com/github/dotnet-codespaces)
 
 ## 💪🏽 Exercise
 

Using-GitHub-Copilot-with-Python/README.md

@@ -10,14 +10,15 @@ Prepare to tackle a practical, hands-on project! You’ll work on modifying a Py
 
 
 - **Who this is for**: Developers, DevOps Engineers, Software development managers, Testers.
-- **What you'll learn**: Using GitHub Copilot to create code and add comments to your work.
+- **What you'll learn**: How to use GitHub Copilot to for code completion, inline suggestions and next edit suggestions, as well as adding comments to your work.
 - **What you'll build**: Python files that will have code generated by Copilot AI for code and comment suggestions.
 - **Prerequisites**: GitHub Copilot is available to use for free, sign up for [GitHub Copilot](https://gh.io/copilot).
 - **Timing**: This module can be completed in under an hour.
 
-By the end of this module, you'll aquire the skills to be able to:
+By the end of this module, you'll acquire the skills to be able to:
 
-- Craft prompts to generate suggestions from GitHub Copilot
+- Engage with Copilot in the IDE using inline suggestions and next-edit completions. 
+- Craft prompts to generate suggestions from GitHub Copilot using code completion and chat.
 - Apply GitHub Copilot to improve your projects.
 
 ## Prerequisite reading:
@@ -27,7 +28,8 @@ By the end of this module, you'll aquire the skills to be able to:
 ## Requirements
 
 1. Enable your [GitHub Copilot service](https://github.com/github-copilot/signup)
-1. Open [this repository with Codespaces](https://codespaces.new/MicrosoftDocs/mslearn-copilot-codespaces-python)
+   
+2. Open [this repository with Codespaces](https://codespaces.new/MicrosoftDocs/mslearn-copilot-codespaces-python)
 
 ## 💪🏽 Exercise
 
@@ -37,6 +39,51 @@ By the end of this module, you'll aquire the skills to be able to:
 
 The API already has a single endpoint to generate a token. Let's update the API by adding a new endpoint that accepts text and returns a list of tokens.
 
+### 🗒️ Section 1: Exploring Your Project 
+
+🎯**Learning Goals**
+- Use inline code completion to scaffold new classes and methods
+- Trigger and refine Copilot completions
+- Use inline chat and slash commands
+  
+Once your Codespace launches, you'll have a fully functional development environment with the entire repository preloaded. This is the perfect time to explore GitHub Copilot Chat to help you better understand the codebase.
+
+To get started:
+
+1. Click the Copilot Chat icon in the top-right corner of the Codespace window:
+
+<div align="left">
+<img src="./images/001Chat.jpg" alt="Open GitHub Copilot Chat" width="500" height="300">
+</div>
+
+2. Instead of manually exploring the project and various folders, try asking Copilot for an overview. In the chat pane, type '/' to view available slash commands — these offer quick, structured ways to interact with Copilot.
+
+   Type `/help` to see all commands, or check out the [GitHub Copilot Chat cheat sheet](https://docs.github.com/copilot/reference/github-copilot-chat-cheat-sheet#slash-commands) for a list of available slash commands.
+
+   For example, you can use:
+   - `/doc` to add a documentation comment
+   - `/explain` to explain the code
+   - `/fix` to propose a fix for the problems in the selected code
+   - `/generate` to generate code to answer your question
+
+3. In lieu of using natural language, type `/explain` into the chat pane. The output from GitHub Copilot will go into details of how the project is structured, including further information of the Frontend and Backend details.
+
+TODO: GIF
+<div align="left">
+<img src="./images/002explainoutput.gif" alt="Output of /Explain" width="500" height="300">
+</div>
+
+4. As a visual learner, you can ask GitHub Copilot to 'create a diagram of the workflow of the application'. This could be saved into a README for further documentation.
+
+TODO: GIF
+<div align="left">
+<img src="./images/movingdiagram.gif" alt="Output of application diagram" width="500" height="300">
+</div>
+
+In the above exercises we achieved the following: 
+- ✅ Used slash commands to explain new code
+- ✅ Created a diagram to visualize and understand the application flow 
+- 
 ### 🛠 Step 1: Add a Pydantic model
 
 Go to the `main.py` file, navigate to the bottom of the provided code, select **Ctrl + I (PC)** or **Cmd + I (Mac)** and copy the following into the provided GitHub Copilot Chat box so that it can generate a `Pydantic` model for you: