## 📂 Each lesson includes:

- a short video introduction to the topic
- written lesson located in the README 
- for project-based lessons, a Jupyter Notebook with code examples 
- a challenge or assignment to apply your learning 
- links to extra resources to continue your learning

## 🗃️ Lessons
|       |              Lesson Link              |                       Concepts Taught                       |                     Learning Goal                 |                             
| :---: | :------------------------------------: | :---------------------------------------------------------: | ----------------------------------------------------------- |
| 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/README.md?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-integrating-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/README.md?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 | |



 
  
## 🎒  Other Courses 

Our team produces other courses! Check out:

- [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?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?WT.mc_id=academic-105485-koreyst)