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### A 12 Lesson course teaching everything you need to know to start building Generative AI applications

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Expand All @@ -31,16 +31,16 @@ There are many things you could help with for example:
Chapter NN/
translations
es/ <== your language code
README.md <== your translatio
README.md <== your translation
- Send us your ideas, maybe you ideas for new lessons or exercises, let us know how we can improve.

Hope to hear from you:
- Raise an issue, <https://github.com/microsoft/generative-ai-for-beginners/issues>
- Create a pullr request, <https://github.com/microsoft/generative-ai-for-beginners/pulls>
- Raise an issue, <https://github.com/microsoft/generative-ai-for-beginners/issues?WT.mc_id=academic-105485-koreyst>
- Create a pullr request, <https://github.com/microsoft/generative-ai-for-beginners/pulls?WT.mc_id=academic-105485-koreyst>

## 🌱 Getting Started

To get started, [fork this entire repo](https://github.com/microsoft/generative-ai-for-beginners/fork) 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 easier later!
To get started, [fork this entire repo](https://github.com/microsoft/generative-ai-for-beginners/fork?WT.mc_id=academic-105485-koreyst) 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?WT.mc_id=academic-105485-koreyst) to find it easier later!

Head to the [Course Setup Page](/00-course-setup/README.md) to find the setup guide that works best for you!

Expand All @@ -63,20 +63,20 @@ Visit [Microsoft's Founders Hub](https://aka.ms/genai-foundershub) where you can
## 🗃️ Lessons
| | Lesson Link | Concepts Taught | Learning Goal |
| :---: | :------------------------------------: | :---------------------------------------------------------: | ----------------------------------------------------------- |
| 00 | [Course Introduction - How to Take This Course](/00-course-setup/README.md) | Tech setup and course structure | Setting you up for success while learning in this course|
| 01 | [Introduction to Generative AI and LLMs](./01-introduction-to-genai/README.md) | **Concept**: Generative AI and how we landed on the current technology landscape| Understanding what Generative AI is and how Large Language Models (LLMs) work. |
| 02 | [Exploring and comparing different LLMs](./02-exploring-and-comparing-different-llms/README.md) | **Concept**: Testing, iterating, and comparing different Large Language Models | Select the right model for your use case |
| 03 | [Using Generative AI Responsibly](./03-using-generative-ai-responsibly/README.MD)| **Concept:** Understanding the limitations of foundation models and the risks behind AI | Learn how to build Generative AI Applications responsibly
| 04 | [Understanding Prompt Engineering Fundamentals](./04-prompt-engineering-fundamentals/README.md) | **Code/Concept:** Hands-on application of Prompt Engineering Best Practices | Understand prompt structure & usage|
| 05 | [Creating Advanced Prompts](./05-advanced-prompts/README.md) | **Code/Concept:** Extend your knowledge of prompt engineering by applying different techniques to your prompts | Apply prompt engineering techniques that improve the outcome of your prompts.|
| 06 | [Building Text Generation Applications](./06-text-generation-apps/README.md) | **Code:** Build a text generation app using Azure OpenAI | Understand how to efficiently use tokens and temperature to vary the model's output | |
| 07 | [Building Chat Applications](./07-building-chat-applications/README.md) | **Code**: Techniques for efficiently building and integrating chat applications.| Identify key metrics and considerations to effectively monitor and maintain the quality of AI-powered chat applications|
| 08 | [Building Search Apps Vector Databases](./08-building-search-applications/README.md) | **Code**: Semantic vs Keyword search. What are text embeddings and how do they apply to search | Create an application that uses Embeddings to search for data. |
| 09 | [Building Image Generation Applications](./09-building-image-applications/README.md) | **Code:** Image generation and why it's useful in building applications| Build an image generation application |
| 10 | [Building Low Code AI Applications](./10-building-low-code-ai-applications/) | **Low Code:** Introduction to Generative AI in Power Platform | Build a Student Assignment Tracker App for our education startup with Low Code | |
| 11 | [Integrating External Applications with Function Calling](./11-intergating-with-function-calling/README.md) | **Code:** What is function calling and its use cases for applications | Setup a function call to retrieve data from an external API | |
| 12 | [Designing UX for AI Applications](./12-designing-ux-for-ai-applications/) | **Concept:** Designing AI Applications for Trust and Transparency | Apply UX design principles when developing Generative AI Applications | |
| xx | [Continue Your Learning](./13-continued-learning/README.md) | Links to continue your learning from each lesson! | Mastering your Generative AI skills | |
| 00 | [Course Introduction - How to Take This Course](/00-course-setup/README.md?WT.mc_id=academic-105485-koreyst) | Tech setup and course structure | Setting you up for success while learning in this course|
| 01 | [Introduction to Generative AI and LLMs](./01-introduction-to-genai/README.md?WT.mc_id=academic-105485-koreyst) | **Concept**: Generative AI and how we landed on the current technology landscape| Understanding what Generative AI is and how Large Language Models (LLMs) work. |
| 02 | [Exploring and comparing different LLMs](./02-exploring-and-comparing-different-llms/README.md?WT.mc_id=academic-105485-koreyst) | **Concept**: Testing, iterating, and comparing different Large Language Models | Select the right model for your use case |
| 03 | [Using Generative AI Responsibly](./03-using-generative-ai-responsibly/README.MD?WT.mc_id=academic-105485-koreyst)| **Concept:** Understanding the limitations of foundation models and the risks behind AI | Learn how to build Generative AI Applications responsibly
| 04 | [Understanding Prompt Engineering Fundamentals](./04-prompt-engineering-fundamentals/README.md?WT.mc_id=academic-105485-koreyst) | **Code/Concept:** Hands-on application of Prompt Engineering Best Practices | Understand prompt structure & usage|
| 05 | [Creating Advanced Prompts](./05-advanced-prompts/README.md?WT.mc_id=academic-105485-koreyst) | **Code/Concept:** Extend your knowledge of prompt engineering by applying different techniques to your prompts | Apply prompt engineering techniques that improve the outcome of your prompts.|
| 06 | [Building Text Generation Applications](./06-text-generation-apps/README.md?WT.mc_id=academic-105485-koreyst) | **Code:** Build a text generation app using Azure OpenAI | Understand how to efficiently use tokens and temperature to vary the model's output | |
| 07 | [Building Chat Applications](./07-building-chat-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Code**: Techniques for efficiently building and integrating chat applications.| Identify key metrics and considerations to effectively monitor and maintain the quality of AI-powered chat applications|
| 08 | [Building Search Apps Vector Databases](./08-building-search-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Code**: Semantic vs Keyword search. What are text embeddings and how do they apply to search | Create an application that uses Embeddings to search for data. |
| 09 | [Building Image Generation Applications](./09-building-image-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Code:** Image generation and why it's useful in building applications| Build an image generation application |
| 10 | [Building Low Code AI Applications](./10-building-low-code-ai-applications?WT.mc_id=academic-105485-koreyst) | **Low Code:** Introduction to Generative AI in Power Platform | Build a Student Assignment Tracker App for our education startup with Low Code | |
| 11 | [Integrating External Applications with Function Calling](./11-intergating-with-function-calling/README.md?WT.mc_id=academic-105485-koreyst) | **Code:** What is function calling and its use cases for applications | Setup a function call to retrieve data from an external API | |
| 12 | [Designing UX for AI Applications](./12-designing-ux-for-ai-applications?WT.mc_id=academic-105485-koreyst) | **Concept:** Designing AI Applications for Trust and Transparency | Apply UX design principles when developing Generative AI Applications | |
| xx | [Continue Your Learning](./13-continued-learning/README.md?WT.mc_id=academic-105485-koreyst) | Links to continue your learning from each lesson! | Mastering your Generative AI skills | |



Expand All @@ -86,11 +86,11 @@ Visit [Microsoft's Founders Hub](https://aka.ms/genai-foundershub) where you can

Our team produces other courses! Check out:

- [ML for Beginners](https://aka.ms/ml-beginners)
- [Data Science for Beginners](https://aka.ms/datascience-beginners)
- [AI for Beginners](https://aka.ms/ai-beginners)
- [ML for Beginners](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
- [Data Science for Beginners](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
- [AI for Beginners](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)

- [Web Dev for Beginners](https://aka.ms/webdev-beginners)
- [IoT for Beginners](https://aka.ms/iot-beginners)
- [Web Dev for Beginners](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
- [IoT for Beginners](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)

- [XR Development for Beginners](https://github.com/microsoft/xr-development-for-beginners)
- [XR Development for Beginners](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)

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