Added a setup page

00-course-setup/README.md

@@ -0,0 +1,68 @@
+# Getting Started with "Generative AI for Beginners" 
+
+We are very excited for you to start this course and see what you get inspired to build with Generative AI! 
+
+To make your time successful, we have created this page that outlines any setup steps, technical requirements and how to get help when you need it. 
+
+
+## Setup Steps 
+
+
+### 1. Fork this Repo
+
+[Fork this entire repo](https://docs.github.com/en/get-started/quickstart/fork-a-repo) to your own GitHub account to be able to change any code and complete the challenges. You can also [star (🌟) this repo](https://docs.github.com/en/get-started/exploring-projects-on-github/saving-repositories-with-stars) to find it and related repos easier. 
+
+
+### 2. Create a Codespace 
+To avoid any depenency issues when running the code, we reccomend running this course in a GitHub codespace. 
+
+This can be created by selecting the `Code` option on your forked version of this repo and selecting the `Codespaces` option. 
+
+
+
+
+
+
+
+### 3. Storing Your API Keys 
+
+
+
+
+## Lessons and Technical Requriments 
+
+The course has 6 concept lessons and 6 coding lessons. 
+
+For the coding lessons, we are using the Azure OpenAI Service. You will need access to the Azure OpenAI service and an API key to run this code. You can apply to get access by [completing this appplication](https://customervoice.microsoft.com/Pages/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR7en2Ais5pxKtso_Pz4b1_xUOFA5Qk1UWDRBMjg0WFhPMkIzTzhKQ1dWNyQlQCN0PWcu&culture=en-us&country=us). 
+
+While you wait for your application to be processed, each coding lesson also includes a `README.md` file where you can view the code and outputs.
+
+### Setting Up Azure OpenAI Service for the First Time 
+
+
+
+## Meet Other Learners 
+
+We have created channels in our official [AI Community Discord server](https://aka.ms/genai-discord) for meeting other learners. This is a great way to create way to network with other like minded enterperneurs, builders, students and anyone looking to level up in Generative AI. 
+
+[![](https://dcbadge.vercel.app/api/server/ByRwuEEgH4)](https://aka.ms/genai-discord)
+
+The project team will also be in this Discord server to help any learners. 
+
+
+## Contribute 
+
+This course is an open-source initiative. If you see areas of imporvement or issues, please create a [Pull Request](https://github.com/microsoft/generative-ai-for-beginners/pulls) or log a [Github issue](https://github.com/microsoft/generative-ai-for-beginners/issues).
+
+The project team will be tracking all contributions and contributing to open source is an amazing way to build your career in Generative AI. 
+
+Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
+
+Important: when translating text in this repo, please ensure that you do not use machine translation. We will verify translations via the community, so please only volunteer for translations in languages where you are proficient.
+
+When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repositories using our CLA.
+
+This project has adopted the Microsoft Open Source Code of Conduct. For more information read the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
+
+
+

07-building-chat-applications/README.md

@@ -2,6 +2,9 @@
 
 [![Building Generative AI-Powered Chat Applications](./img/genai_course_7[8].png)](https://youtu.be/Kw4i-tlKMrQ) 
 
+*(Click the image above to view video of this lesson)*
+
+
 Chat applications have become integrated into our daily lives, offering more than just a means of casual conversation. They're integral parts of customer service, technical support, and even sophisticated advisory systems. It's likely that you've gotten some help from a chat application not too long ago. As we integrate more advanced technologies like generative AI into these platforms, the complexity increases and so does the challenges. How do we efficiently build and seamlessly integrate these AI-powered applications for specific use cases?  Once deployed, how can we monitor and ensure that the applications are operating at the highest level of quality, both in terms of functionality and adhering to the [six principles of responsible AI](https://www.microsoft.com/ai/responsible-ai)?
 
 As we move further into an age defined by automation and seamless human-machine interactions, understanding how generative AI transforms the scope, depth, and adaptability of chat applications becomes essential. This lesson will investigate the aspects of architecture that support these intricate systems, delve into the methodologies for fine-tuning them for domain-specific tasks, and evaluate the metrics and considerations pertinent to ensuring responsible AI deployment.

10-building-low-code-ai-applications/README.md

@@ -3,7 +3,7 @@
 
 [![Building Low Code AI Applications](./images/genai_course_10[68].png)](https://youtu.be/XX8491SAF44) 
 
-*(Click the image abvoe to view video of this lesson)*
+*(Click the image above to view video of this lesson)*
 
 ## Introduction