generative-ai-for-beginners README

The project's README from github.com/microsoft/generative-ai-for-beginners. As one markdown file: README.md.

Generative AI For Beginners

21 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

Microsoft Foundry Discord

🌐 Multi-Language Support

Supported via GitHub Action (Automated & Always Up-to-Date)

Arabic | Bengali | Bulgarian | Burmese (Myanmar) | Chinese (Simplified) | Chinese (Traditional, Hong Kong) | Chinese (Traditional, Macau) | Chinese (Traditional, Taiwan) | Croatian | Czech | Danish | Dutch | Estonian | Finnish | French | German | Greek | Hebrew | Hindi | Hungarian | Indonesian | Italian | Japanese | Kannada | Khmer | Korean | Lithuanian | Malay | Malayalam | Marathi | Nepali | Nigerian Pidgin | Norwegian | Persian (Farsi) | Polish | Portuguese (Brazil) | Portuguese (Portugal) | Punjabi (Gurmukhi) | Romanian | Russian | Serbian (Cyrillic) | Slovak | Slovenian | Spanish | Swahili | Swedish | Tagalog (Filipino) | Tamil | Telugu | Thai | Turkish | Ukrainian | Urdu | Vietnamese

Prefer to Clone Locally?

This repository includes 50+ language translations which significantly increases the download size. To clone without translations, use sparse checkout:

Bash / macOS / Linux:

git clone --filter=blob:none --sparse https://github.com/microsoft/generative-ai-for-beginners.git
cd generative-ai-for-beginners
git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'

CMD (Windows):

git clone --filter=blob:none --sparse https://github.com/microsoft/generative-ai-for-beginners.git
cd generative-ai-for-beginners
git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"

This gives you everything you need to complete the course with a much faster download.

Generative AI for Beginners (Version 3) - A Course

Learn the fundamentals of building Generative AI applications with our 21-lesson comprehensive course by Microsoft Cloud Advocates.

🌱 Getting Started

This course has 21 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.

For .NET Developers checkout Generative AI for Beginners (.NET Edition)!

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

What You Need

To run the code of this course, you can use either:

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 Microsoft Foundry Discord server to meet and network with other learners taking this course and get support.

Ask questions or share product feedback in our Microsoft Foundry Developer Forum on Github.

🚀 Building a Startup?

Visit Microsoft for Startups to find out how to get started building with Azure credits today.

🙏 Want to help?

Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request

📂 Each lesson includes:

🗃️ Lessons

# Lesson Link Description Video Extra Learning
00 Course Setup Learn: How to Setup Your Development Environment Video 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: An 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
19 Building with SLMs Learn: The benefits of building with Small Language Models Video Coming Soon Learn More
20 Building with Mistral Models Learn: The features and differences of the Mistral Family Models Video Coming Soon Learn More
21 Building with Meta Models Learn: The features and differences of the Meta Family Models Video Coming Soon Learn More

🌟 Special thanks

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

Bernhard Merkle for making key contributions to each lesson to improve the learner and code experience.

🎒 Other Courses

Our team produces other courses! Check out:

LangChain

LangChain4j for Beginners LangChain.js for Beginners LangChain for Beginners

Azure / Edge / MCP / Agents

[AZD for Beginners](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-kor

generative-ai-for-beginners (microsoft/generative-ai-for-beginners)

Searching Database…

Что это такое?Курс из 21 урока от Cloud Advocates из Microsoft, который объясняет основы создания приложений на базе генеративного ИИ: промпт-инжиниринг, чат-приложения, RAG, файнтюнинг и ИИ-агентов.
Это фреймворк для программирования или учебный курс?Это структурированный учебный курс, а не фреймворк. Уроки делятся на «Learn», где объясняется концепция, и «Build», где объяснения сопровождаются готовыми примерами кода на Python и TypeScript.
Как начать работу с курсом?Начните с урока 00 — «Настройка курса», в котором описано, как настроить среду разработки. Затем проходите уроки в любом порядке, так как каждый посвящён своей теме.
Что нужно для запуска примеров кода?Нужен доступ к одному из сервисов: Azure OpenAI Service, Microsoft Foundry Models, OpenAI API или Foundry Local для полностью автономной работы. Также нужны базовые знания Python или TypeScript и аккаунт на GitHub, чтобы сделать форк репозитория.
Можно ли по-прежнему использовать GitHub Models для уроков?Нет, GitHub Models выводится из эксплуатации в конце июля 2026 года, поэтому курс рекомендует для этих уроков использовать Microsoft Foundry Models.
Курс для совсем начинающих или нужен опыт работы с ИИ?Курс рассчитан на тех, кто только начинает знакомство с генеративным ИИ. Знание Python или TypeScript поможет, а если его нет, в README есть ссылки на отдельные курсы для начинающих по этим языкам.
Запуск уроков обязательно требует отправки данных в облако?Нет, с помощью Foundry Local можно запускать модели полностью автономно на своём устройстве, без облачной подписки.
Какие темы охватывает курс помимо базового промптинга?Курс идёт от основ (LLM, промпт-инжиниринг) к созданию приложений для генерации текста, чата, поиска и изображений, а затем к продвинутым темам: вызов функций, RAG с векторными базами данных, ИИ-агенты, файнтюнинг и малые языковые модели, например модели Mistral и Meta.
Можно ли клонировать репозиторий без загрузки всех переводов?Да. В репозитории есть переводы более чем на 50 языков, из-за которых он занимает много места. Чтобы скачать только английский контент и пропустить переводы, можно использовать sparse checkout.
В курсе есть видеоуроки?Большинство из 21 урока включают короткое видео-введение вместе с текстом урока, но у некоторых, например уроков 19–21, видео пока помечены как «скоро».
Есть ли версия курса для разработчиков на .NET?Да, Microsoft ведёт отдельный курс «Generative AI for Beginners (.NET Edition)» для разработчиков на .NET.
Creator
microsoft
Size
6.3 GB
Stars
121.7K
Updated
CommitOct 19
Age
3y
Commits · 90 Days