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AI-For-Beginners
AI for Beginners is a Microsoft course organized as 24 lessons across 12 weeks.

About AI-For-Beginners
AI For Beginners is an open-source curriculum from Microsoft, hosted as a GitHub repository. It is organized as 24 lessons over 12 weeks and introduces artificial intelligence to people with little or no background in the subject. Each lesson includes practical material, quizzes, and labs.
The course covers symbolic AI (sometimes called GOFAI), neural networks and deep learning, neural architectures for images and text, and less common approaches such as genetic algorithms and multi-agent systems. Code examples use TensorFlow and PyTorch, and the curriculum includes material on ethics in AI. The repository includes translations in more than 50 languages, which makes the download much larger. A sparse checkout command is provided to clone the course without translations.
The course does not cover business use cases of AI, classic machine learning, cloud-based AI services, or conversational AI and chatbots. The authors state that the material may be somewhat lacking in state-of-the-art coverage of recent models.
Key features
- 24 lessons across 12 weeks, with practical lessons, quizzes, and labs
- Covers symbolic AI (GOFAI), neural networks, and deep learning
- Code examples in TensorFlow and PyTorch
- Neural architectures for working with images and text
- Introduction to genetic algorithms and multi-agent systems
- Includes material on ethics in AI
- Structured 12-week sequence of 24 lessons with quizzes and labs
- Code examples in two widely used frameworks, TensorFlow and PyTorch
- Open source, with a contribution guide for community members
- The authors state the material may be somewhat lacking in state-of-the-art coverage of recent models
- Does not cover business cases, classic machine learning, cloud AI services, or chatbots; other learning paths are recommended for these
- Including all translations significantly increases the download size
AI-For-Beginners at a glance
- Category
- Education & Learning › Learn to Code
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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