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12 Weeks, 24 Lessons, AI for All!

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LanguageJupyter Notebook
LicenseMIT
Created2021-03-03 (5y ago)
Last push1mo ago
Watchers669
OwnerOrganization

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README excerpt
# Artificial Intelligence for Beginners - A Curriculum
| |
|:---:|
| 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
#### Supported via GitHub Action (Automated & Always Up-to-Date)
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:**
> [code] 
>
> **CMD (Windows):**
> [code] 
>
> 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 Microsoft Learn collection
* Business cases of using **AI in Business**. Consider taking Introduction to AI for business users learning path on Microsoft Learn, or AI Business School, developed in cooperation with INSEAD.
* **Classic Machine Learning**, which is well described in our Machine Learning for Beginners Curriculum.
* Practical AI applications