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Generative AI For Beginners

Generative AI For Beginners is an MIT-licensed educational repository with 21 lessons on generative AI concepts and building generative AI applications. It combines concept-focused lessons with build lessons containing Python and TypeScript code examples when possible.

Independent OpenViST project profile, based on linked sources.

Generative AI For Beginners — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it as a self-paced introduction when you want to learn generative AI concepts and work through application-building examples lesson by lesson.

Who it is for

  • Learners beginning generative AI application development
  • Developers who want structured lessons on generative AI and prompt engineering

Documented uses

  • Learn generative AI concepts through topic-based lessons
  • Study prompt engineering
  • Follow code examples while beginning to build generative AI applications
  • Prepare a development environment for course work
Before you choose

Requirements & limits

The repository is public and MIT-licensed. Running course code requires choosing a supported model or service option; the README also says a GitHub account is needed to fork the repository.

  • The course code can be run using Azure OpenAI Service, Microsoft Foundry Models, OpenAI API, or Foundry Local, with specific lesson assignments associated with some options.
  • Basic Python or TypeScript knowledge is helpful; the README points absolute beginners to introductory courses.
  • The repository includes many translations, and the README provides sparse-checkout commands to avoid downloading translation files when cloning locally.
  • Jupyter Notebook is listed as the repository’s primary language; build examples are provided in Python and TypeScript when possible.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Choose a lesson and prepare to run its course code

Select a course lesson and identify the documented prerequisites and setup resource before working through its code.

Before you start

  • A GitHub account to fork the repository.
  • Basic Python or TypeScript knowledge is helpful.
  • Choose one listed option for running code: Azure OpenAI Service, Microsoft Foundry Models, OpenAI API, or Foundry Local.

Steps

  1. Choose any of the 21 lessons; each lesson covers its own topic.

  2. Use the lesson labels to choose a “Learn” lesson for concepts or a “Build” lesson for concepts and code examples, in Python and TypeScript when possible.

  3. For code lessons, select a listed model service: Azure OpenAI Service, Microsoft Foundry Models, OpenAI API, or Foundry Local.

  4. Use the Course Setup lesson for development-environment setup, then follow the selected lesson.

Expected outcome

A selected lesson, a chosen model-service option if running code, and a link to the course’s setup lesson.

Guide limitations

  • Basic Python or TypeScript knowledge is described as helpful, not mandatory.
  • Python and TypeScript code examples are available when possible; the README does not promise both for every lesson.
  • The README does not provide the setup lesson’s detailed steps here.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
microsoft/generative-ai-for-beginners · Official homepage title · retained in its source language