Get started building with generative AI through 21 lessons, for founders new to AI.
intermediateโฑ 30 minutes๐ต Free
112,660 stars60,502 forksJupyter NotebookQuality 9/10Updated 7/3/2026100% free ยท 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
โขWhen you need to understand the fundamentals of generative AI
โขWhen you want to build a generative AI model for a specific use case
โขWhen 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
ai
azure
chatgpt
dall-e
generative-ai
generativeai
gpt
language-model
llms
microsoft-for-beginners
openai
prompt-engineering
semantic-search
transformers
What's inside โ free to inspect
No purchase needed
Read the entire source before you build โ unlike paid marketplaces that hide it behind a buy button.