README

Artificial Intelligence for Beginners - A Curriculum

|!Sketchnote by @girlie_mac https://twitter.com/girlie_mac|
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| AI For Beginners - _Sketchnote by @girlie_mac_ |

Explore the world of Artificial Intelligence (AI) with our 12-week, 24-lesson curriculum!  It includes practical lessons, quizzes, and labs. The curriculum is beginner-friendly and covers tools like TensorFlow and PyTorch, as well as ethics in AI


 🌐 Multi-Language Support

 Translations maintained with Co-op Translator


Arabic | Bengali | Bulgarian | Burmese (Myanmar) | Chinese (Simplified) | Chinese (Traditional, Hong Kong) | Chinese (Traditional, Macau) | Chinese (Traditional, Taiwan) | Croatian | Czech | Danish | Dutch | Estonian | Finnish | French | German | Greek | Hebrew | Hindi | Hungarian | Indonesian | Italian | Japanese | Kannada | Khmer | Korean | Lithuanian | Malay | Malayalam | Marathi | Nepali | Nigerian Pidgin | Norwegian | Persian (Farsi) | Polish | Portuguese (Brazil) | Portuguese (Portugal) | Punjabi (Gurmukhi) | Romanian | Russian | Serbian (Cyrillic) | Slovak | Slovenian | Spanish | Swahili | Swedish | Tagalog (Filipino) | Tamil | Telugu | Thai | Turkish | Ukrainian | Urdu | Vietnamese

 Prefer to Clone Locally?

 This repository includes 50+ language translations which significantly increases the download size. To clone without translations, use sparse checkout:

 Bash / macOS / Linux:
 bash
 git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
 cd AI-For-Beginners
 git sparse-checkout set --no-cone '/' '!translations' '!translated_images'
 

 CMD (Windows):
 cmd
 git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
 cd AI-For-Beginners
 git sparse-checkout set --no-cone "/" "!translations" "!translated_images"
 

 This gives you everything you need to complete the course with a much faster download.


If you wish to have additional translations languages supported are listed here

 Join the Community


 🤝 Contributing

We welcome contributions from the community! Whether you're fixing typos, improving documentation, or adding new examples, your help makes this curriculum better for everyone. Check out our CONTRIBUTING.md guide to get started.

 What you will learn

Mindmap of the Course

In this curriculum, you will learn:

 Different approaches to Artificial Intelligence, including the "good old" symbolic approach with Knowledge Representation and reasoning (GOFAI).
 Neural Networks and Deep Learning, which are at the core of modern AI. We will illustrate the concepts behind these important topics using code in two of the most popular frameworks - TensorFlow and PyTorch.
 Neural Architectures for working with images and text. We will cover recent models but may be a bit lacking in the state-of-the-art.
 Less popular AI approaches, such as Genetic Algorithms and Multi-Agent Systems.

What we will not cover in this curriculum:

 Find all additional resources for this course in our Mi

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