generative-ai-for-beginners

generative-ai-for-beginners

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

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This course has 18 lessons. Each lesson covers its own topic so start wherever you 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 development environment. Don't forget to 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? Do you have suggestions or found spelling or code errors? 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 |

README:

Generative AI For Beginners

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

GitHub license GitHub contributors GitHub issues GitHub pull-requests PRs Welcome

GitHub watchers GitHub forks GitHub stars

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 has 18 lessons. Each lesson covers its own topic so start wherever you 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

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

Don't forget to 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?

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

🌟 Special thanks

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

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