Verified project record

microsoft/AI-For-Beginners

A 12-week, 24-lesson educational curriculum covering core Artificial Intelligence, Neural Networks, and Deep Learning. It includes practical labs, quizzes, and executable Jupyter Notebooks using TensorFlow and PyTorch.

Project overview

Use cases: Learning & Education
Deployment: Refer to project documentation
License: MIT

Best for

General users and developers seeking a beginner-friendly introduction to AI concepts.
Educators looking for structured lesson materials, quizzes, and practical labs to teach others.

Key capabilities

Provides a 12-week, 24-lesson curriculum covering different approaches to Artificial Intelligence, Neural Networks, Deep Learning, and Neural Architectures.
Includes executable Jupyter Notebooks specific to frameworks such as PyTorch or TensorFlow.
Offers labs available for some topics to give users an opportunity to try applying learned material to a specific problem.
Provides quizzes contained in a Quiz-app folder or online to test knowledge on lessons.
Provides simple, hands-on examples such as Hello AI World, Simple Neural Network, Image Classifier, and Text Sentiment to help users understand AI concepts.

Limitations and risks

The curriculum covers recent models but may be lacking in the most current state-of-the-art advancements.
GPU requirements, data boundary considerations, cost dependencies, and telemetry are not documented.

Getting started

Setup is straightforward: fork the repository, clone it locally using git, and run the code in VSCode or a Codespace. Coding is required to execute the materials.

Evidence and sources

README: 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…
README: * Different approaches to Artificial Intelligence, including the "good old" symbolic approach with **Knowledge Representation** and reasoning ([GOFAI](https://en.wikipedia.org/wik…
README: * Executable Jupyter Notebooks, which are often specific to the framework (**PyTorch** or **TensorFlow**). The executable notebook also contains a lot of theoretical material, so…
README: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [Online Here](https://ff-quizzes.netlify.app/) They are linked from within the lessons
README: - 🌟 **Hello AI World** - Your first AI program (pattern recognition) - 🧠 **Simple Neural Network** - Build a neural network from scratch - 🖼️ **Image Classifier** - Classify image…

Reviewed at: 2026-07-17T06:51:58Z