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MicrosoftLearning · Nov 6, 2023 · 487ae69 · 487ae69
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diff --git a/Instructions/Exercises/02-natural-language-azure-openai.md b/Instructions/Exercises/02-natural-language-azure-openai.md
@@ -45,7 +45,7 @@ Azure OpenAI provides a web-based portal named **Azure OpenAI Studio**, that you
 
 You'll develop your Azure OpenAI app using Visual Studio Code. The code files for your app have been provided in a GitHub repo.
 
-> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Othewise, follow these steps to clone it to your development environment.
+> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Otherwise, follow these steps to clone it to your development environment.
 
 1. Start Visual Studio Code.
 2. Open the palette (SHIFT+CTRL+P) and run a **Git: Clone** command to clone the `https://github.com/MicrosoftLearning/mslearn-openai` repository to a local folder (it doesn't matter which folder).

diff --git a/Instructions/Exercises/03-prompt-engineering.md b/Instructions/Exercises/03-prompt-engineering.md
@@ -157,9 +157,9 @@ Let's start by exploring some prompt engineering techniques in the Chat playgrou
 
 ## Prepare to develop an app in Visual Studio Code
 
-Now let's explore the use of prompt engineering in an app that uses the Azure openAI service SDK. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo.
+Now let's explore the use of prompt engineering in an app that uses the Azure OpenAI service SDK. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo.
 
-> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Othewise, follow these steps to clone it to your development environment.
+> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Otherwise, follow these steps to clone it to your development environment.
 
 1. Start Visual Studio Code.
 2. Open the palette (SHIFT+CTRL+P) and run a **Git: Clone** command to clone the `https://github.com/MicrosoftLearning/mslearn-openai` repository to a local folder (it doesn't matter which folder).

diff --git a/Instructions/Exercises/04-code-generation.md b/Instructions/Exercises/04-code-generation.md
@@ -107,7 +107,7 @@ Before using in your app, examine how Azure OpenAI can generate and explain code
 
 Now let's explore how you could build a custom app that uses Azure OpenAI service to generate code. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo.
 
-> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Othewise, follow these steps to clone it to your development environment.
+> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Otherwise, follow these steps to clone it to your development environment.
 
 1. Start Visual Studio Code.
 2. Open the palette (SHIFT+CTRL+P) and run a **Git: Clone** command to clone the `https://github.com/MicrosoftLearning/mslearn-openai` repository to a local folder (it doesn't matter which folder).

diff --git a/Instructions/Exercises/05-generate-images.md b/Instructions/Exercises/05-generate-images.md
@@ -45,9 +45,9 @@ The Azure OpenAI service provides a REST API that you can use to submit prompts
 
 ### Prepare to develop an app in Visual Studio Code
 
-Now let's explore how you could build a custom app that uses Azure OpenAI service to generate code. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo.
+Now let's explore how you could build a custom app that uses Azure OpenAI service to generate images. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo.
 
-> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Othewise, follow these steps to clone it to your development environment.
+> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Otherwise, follow these steps to clone it to your development environment.
 
 1. Start Visual Studio Code.
 2. Open the palette (SHIFT+CTRL+P) and run a **Git: Clone** command to clone the `https://github.com/MicrosoftLearning/mslearn-openai` repository to a local folder (it doesn't matter which folder).

diff --git a/Instructions/Exercises/06-use-own-data.md b/Instructions/Exercises/06-use-own-data.md
@@ -125,9 +125,9 @@ Next, let's explore how to connect your app to use your own data.
 
 ### Prepare to develop an app in Visual Studio Code
 
-Now let's explore the use of prompt engineering in an app that uses the Azure openAI service SDK. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo.
+Now let's explore the use of your own data in an app that uses the Azure OpenAI service SDK. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo.
 
-> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Othewise, follow these steps to clone it to your development environment.
+> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Otherwise, follow these steps to clone it to your development environment.
 
 1. Start Visual Studio Code.
 2. Open the palette (SHIFT+CTRL+P) and run a **Git: Clone** command to clone the `https://github.com/MicrosoftLearning/mslearn-openai` repository to a local folder (it doesn't matter which folder).