microsoft/generative-ai-for-beginners
Official21 Lessons, Get Started Building with Generative AI
Generative AI for Beginners is Microsoft's free 21-lesson curriculum on LLM fundamentals, prompt engineering, RAG, image generation, and AI agents through Jupyter notebooks. If you want a structured path from zero AI knowledge to building apps, start with this Microsoft course.
Our Review
Generative AI for Beginners is Microsoft's official open-source curriculum for learning generative AI from scratch -- 111,000 stars and an exceptional 59,500 forks as of May 2026. Released under the MIT license, it ships 21 self-contained lessons as Jupyter notebooks, covering everything from LLM fundamentals to building RAG apps and AI agents using OpenAI, Azure OpenAI, and open models.
What Generative AI for Beginners does:
- •21-lesson curriculum structured progression from "What is Generative AI" through prompt engineering, RAG, function calling, vector databases, and agent design.
- •Jupyter Notebook format every lesson is a runnable notebook with code, explanations, and exercises you can modify and re-run.
- •Multi-provider examples OpenAI, Azure OpenAI, and (via switches) open-source models like Llama and Phi.
- •Microsoft-maintained written and reviewed by Microsoft developer advocates and educators, with regular updates as models evolve.
- •Quizzes + assignments each lesson ends with a knowledge-check quiz and a hands-on coding assignment.
- •Translated into 20+ languages community translations make the course accessible globally.
- •No paid services required runs on OpenAI free credits, GitHub Codespaces free tier, or local Python.
Generative AI for Beginners ecosystem:
- •Microsoft for Beginners family companion repos including Web Dev for Beginners, ML for Beginners, AI for Beginners, Data Science for Beginners.
- •GitHub Codespaces one-click cloud dev environment so beginners do not need to install anything locally.
- •Discussion forum active GitHub Discussions for asking questions and sharing assignments.
- •Course YouTube playlist companion video lessons hosted on Microsoft Developer YouTube.
Getting started:
Visit github.com/microsoft/generative-ai-for-beginners and click "Open in GitHub Codespaces" for a zero-install dev environment. Alternatively, clone the repo, install Python 3.10+, and run jupyter notebook from the lesson folder. Start with Lesson 1 ("Introduction to Generative AI"). No prior AI experience required.
Limitations:
The curriculum was first released June 2023, so some examples still reference older model versions like GPT-3.5 instead of GPT-4o or Claude Sonnet 4.6. Microsoft does ship updates, but the lesson order assumes you start at Lesson 1 and progress linearly. The Azure OpenAI sections require an Azure account, which has free credits but needs payment setup. Some assignments expect Python familiarity that beginners may need to acquire first.
Our Verdict
Generative AI for Beginners in 2026 is the default free curriculum for learning generative AI from scratch. 111,000 GitHub stars, 59,500 forks (one of the most-forked education repos on GitHub), MIT licensed, and maintained directly by Microsoft.
For Vibe Builders, the course is the structured path from "I have heard of ChatGPT" to "I can build my own RAG app on top of any LLM." The Jupyter notebook format means every concept comes with code you run and modify yourself. Pair with GitHub Codespaces for a one-click zero-install setup.
For Basic Users, the curriculum is genuinely beginner-friendly. No prior AI background required. Each lesson explains concepts in plain English before showing code. The quizzes confirm you understood the material before moving on.
Skip this course if you already know transformer architecture and have built RAG apps -- it is genuinely an introductory course. Skip if you want a deep dive into one specific framework (LangChain, LlamaIndex) -- this is breadth over depth. For a code-heavy alternative focused on building LLMs from scratch, rasbt/LLMs-from-scratch goes much deeper on the math and PyTorch implementation.
Frequently Asked Questions
What is Microsoft Generative AI for Beginners?
Microsoft Generative AI for Beginners is a free open-source 21-lesson curriculum for learning generative AI from scratch, maintained by Microsoft on GitHub. It ships as Jupyter notebooks covering LLM fundamentals, prompt engineering, RAG, function calling, vector databases, and agent design. As of May 2026 it has 111,000 GitHub stars and 59,500 forks under the MIT license.
Is the course really free?
Yes. The entire 21-lesson curriculum is free under the MIT license, with no Microsoft account required. You can run lessons in GitHub Codespaces' free tier, on your local machine with Python, or in a free Jupyter notebook environment. Some Azure OpenAI examples need an Azure account, but a free OpenAI account works for most lessons too.
Who is the course for?
Generative AI for Beginners is designed for absolute beginners. The only prerequisite is basic Python familiarity. The lessons explain concepts in plain English before showing code, and each lesson ends with a quiz to confirm understanding. Anyone curious about LLMs, RAG, and AI agents can follow along regardless of background or job role.
How do I run the lessons?
Click 'Open in GitHub Codespaces' on the repo page for a zero-install cloud environment. Alternatively, clone the repository, install Python 3.10+, set your OpenAI API key in .env, and run jupyter notebook from a lesson folder. Each lesson is a self-contained notebook you can run and modify on your machine.
How does it compare to LLMs from Scratch?
Choose Generative AI for Beginners when you want a breadth-first survey of prompt engineering, RAG, agents, and practical app building. Choose LLMs-from-scratch (by Sebastian Raschka) when you want to build a GPT-style model in PyTorch from the ground up. Microsoft's course is app-oriented, LLMs-from-scratch is model-oriented and deeper.
What is generative-ai-for-beginners?
Generative AI for Beginners is Microsoft's free 21-lesson curriculum on LLM fundamentals, prompt engineering, RAG, image generation, and AI agents through Jupyter notebooks. If you want a structured path from zero AI knowledge to building apps, start with this Microsoft course.
What license does generative-ai-for-beginners use?
generative-ai-for-beginners uses the MIT license.
What are alternatives to generative-ai-for-beginners?
Explore related tools and alternatives on My AI Guide.
Open source & community-verified
MIT licensed: free to use in any project, no strings attached. 111,140 developers have starred this, meaning the community has reviewed and trusted it.
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