Promptflow Cookbook

Welcome to #30Daysof Promptflow - a series of hands-on labs to help you jumpstart your journey into promptflow in a curated journey, one notebook at a time.

Learning Objectives

By the end of this learning journey you should be able to:

1. Understand core concepts of promptflow
2. Explore core promptflow developer tools
3. Design and build a basic promptflow app
4. Evaluate and deploy your promptflow app
5. Adopt best practices for LLM Ops (end-to-end)
6. Build your intuition & transfer knowledge to your own app ideas.

Prerequisites

To work with promptflow, and complete exercises in the repo, you will need:

1. A GitHub Account - fork repo and launch GitHub Codespaces
2. Visual Studio Code - with promptflow extension
3. Azure Account - to deploy your promptflow app
4. Azure AI Studio - access to Azure OpenAI for E2E apps
5. Familiarity with Python and Jupyter Notebooks

Preview Guide

The repository contains notebooks for each lab, along with a website/ folder that contains an Astro Starlight based static site that you can configure for hosting (in your GitHub Pages) or view in local preview (within GitHub Codespaces).Check out the website/README for more details on how the website is setup.

To preview the site locally use the following commands:

cd website
npm install
npm run dev

Learning Roadmap

Check back for an updated roadmap with themed weeks and related notebooks for hands-on learning. The content will be broadly organized into 4 weeks:

1. Core Concepts: Terminology and structure of prompt flow
2. Developer Tools: Visual Studio Code extension and pf CLI
3. End-to-End App: Build, evaluate, and deploy a basic chat app
4. Best Practices: Extend, modify, and optimize your app

Table of Contents 🚧