balesabugodugu / generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

18 Lessons teaching everything you need to know to start building Generative AI applications

Generative AI for Beginners (Version 2) - A Course

Learn the fundamentals of building Generative AI applications with our 18-lesson comprehensive course by Microsoft Cloud Advocates.

🌱 Getting Started

This course is 18 lessons. Each lesson covers its own topic so start wherever you would like!

Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both Python and TypeScript when possible.

Each lesson also includes a "Keep Learning" section with additional learning tools.

What You Need

• Access to the Azure OpenAI Service OR OpenAI API - Only required to complete coding lessons
• Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses.
• A Github Account to fork this entire repo to your own GitHub account

We have created a Course Setup lesson to help you with setting up your developement environment.

Don't forget to star star (🌟) this repo to find it easier later.

🧠 Ready to Deploy?

If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both Python and TypeScript.

🗣️ Meet Other Learners, Get Support

Join our official AI Discord server to meet and network with other learners taking this course and get support.

🚀 Building a Startup?

Sign up for Microsoft for Startups Founders Hub to receive free OpenAI credits and up to $150k towards Azure credits to access OpenAI models through Azure OpenAI Services.

🙏 Want to help?

Find spelling errors, code errors or have a suggestion? Raise an issue or Create a pull request

📂 Each lesson includes:

• A short video introduction to the topic
• A written lesson located in the README
• Python and TypeScript Code Samples supporting Azure OpenAI and OpenAI API
• Links to extra resources to continue your learning

🗃️ Lessons

	Lesson Link	Description	Additional Learning
00	Course Setup	Learn: How to Setup Your Development Environment	Learn More
01	Introduction to Generative AI and LLMs	Learn: Understanding what Generative AI is and how Large Language Models (LLMs) work.	Learn More
02	Exploring and comparing different LLMs	Learn: How to select the right model for your use case	Learn More
03	Using Generative AI Responsibly	Learn: How to build Generative AI Applications responsibly	Learn More
04	Understanding Prompt Engineering Fundamentals	Learn: Hands-on Prompt Engineering Best Practices	Learn More
05	Creating Advanced Prompts	Learn: How to apply prompt engineering techniques that improve the outcome of your prompts.	Learn More
06	Building Text Generation Applications	Build: A text generation app using Azure OpenAI	Learn More
07	Building Chat Applications	Build: Techniques for efficiently building and integrating chat applications.	Learn More
08	Building Search Apps Vector Databases	Build: A search application that uses Embeddings to search for data.	Learn More
09	Building Image Generation Applications	Build: A image generation application	Learn More
10	Building Low Code AI Applications	Build: A Generative AI application using Low Code tools	Learn More
11	Integrating External Applications with Function Calling	Build: What is function calling and its use cases for applications	Learn More
12	Designing UX for AI Applications	Learn: How to apply UX design principles when developing Generative AI Applications	Learn More
13	Securing Your Generative AI Applications	Learn: The threats and risks to AI systems and methods to secure these systems.	Learn More
14	The Generative AI Application Lifecycle	Learn: The tools and metrics to manage the LLM Lifecycle and LLMOps	Learn More
15	Retrieval Augmented Generation (RAG) and Vector Databases	Build: An application using a RAG Framework to retrieve embeddings from a Vector Databases	Learn More
16	Open Source Models and Hugging Face	Build: An application using open source models available on Hugging Face	Learn More
17	AI Agents	Build: An application using an AI Agent Framework	Learn More
18	Fine-Tuning LLMs	Learn: The what, why and how of fine-tuning LLMs	Learn More

🌟 Special thanks

Special thanks to John Aziz for creating all of the GitHub Actions and workflows

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