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generative-ai-for-beginners: Build AI Models

Name: generative-ai-for-beginners: Build AI Models
Author: microsoft

Get started building with generative AI through 21 lessons, for founders new to AI.

intermediate⏱ 30 minutes💵 Free

115,176 stars61,375 forksJupyter NotebookHealth Score 9/10Updated 8/1/2026100% free · open source

What it is

Learn the basics of building with Generative AI through 21 practical lessons.

What you can make with it

Models like chatbots, image generators, and language translation systems.

How it helps

Generative AI helps you build complex AI models without requiring extensive code knowledge, and Microsoft's tutorials make it easy to get started.

Real use case example

"A founder wants to create a chatbot for their company's customer service. They follow Microsoft's lessons to build a simple chatbot in Jupyter Notebook, and after 4-6 hours of work, they have a working prototype that can answer customer queries."

If you're new

Start with this skill when you're new to AI development and want a solid foundation in Generative AI.

If you're senior

Senior engineers will find this skill useful as a reference or for sharing with junior team members.

Common confusion cleared up

Don't worry if you're not familiar with Jupyter Notebook or Python; this skill guides you through the basic setup and lessons needed to get started.

Best inside these AI tools

Claude DesktopGPT (ChatGPT)Any AI Client

Pairs with

Claude DesktopAny AI ClientJupyter Notebook

Why we list it on WorkflowStacks: This skill is free and open-source, making it a great starting point for beginners.

What it does

Generative AI for Beginners provides 21 lessons to help startup founders get started with building generative AI models using Jupyter Notebooks

Install / run

git clone https://github.com/microsoft/generative-ai-for-beginners.git

When to use it

•When you need to understand the fundamentals of generative AI
•When you want to build a generative AI model for a specific use case
•When you need to learn how to use Jupyter Notebooks for AI development

Quick start

1Open the cloned repository in a Jupyter Notebook environment by running 'jupyter notebook' in the terminal
2Navigate to the 'Lesson 1' notebook and follow the instructions to set up the environment
3Run the cells in the 'Lesson 1' notebook to complete the exercises
4Move on to subsequent lessons to learn more about generative AI
5Use the 'generative_ai_for_beginners' GitHub repository as a reference for the lessons and exercises

Ready-to-paste prompt

Open the 'Lesson 5' notebook and run the cell containing 'from generative_ai import *; generate_text(prompt="Write a short story about a character who...")' to generate a short story

Heads up: Make sure you have the required dependencies installed, including Python 3.8 or later, Jupyter Notebook, and the required libraries listed in the 'requirements.txt' file in the repository

Saves to your device

Topics

azure

chatgpt

dall-e

generative-ai

generativeai

gpt

language-model

llms

microsoft-for-beginners

openai

prompt-engineering

semantic-search

transformers

How generative-ai-for-beginners: Build AI Models works

Codeflow

Free to inspect

Generative-ai-for-beginners: Build AI Models is a small Jupyter Notebook project (~3k lines across 44 code files). Setup is light: install Node.js, run one command. Last commit this month, MIT license, has a test suite.

Size

Small codebase

~3k lines · 44 code files · 25 min skim

Setup

Light setup

Install Node.js, run one command.

Runs on

Node.js · Python

No API keys detected

Jupyter Notebook 100%

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