A 12-week, 24-lesson educational curriculum covering core artificial intelligence and deep learning concepts. It includes executable Jupyter Notebooks and practical labs using frameworks such as PyTorch and TensorFlow.
Project overview
Provides a structured curriculum with beginner-friendly examples, quizzes, and executable notebooks for learning AI concepts.
Project type
Learning Resources
Use cases
Learning & Education
Deployment
Refer to project documentation
License
MIT
Best for
General users, educators, and developers seeking a structured, beginner-friendly resource for learning artificial intelligence and deep learning.
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 state-of-the-art.
GPU, minimum hardware, telemetry, and data boundary requirements are not documented.
Getting started
Fork the repository using the "Fork" button, clone it locally using git, and run the code in VSCode or a Codespace. Coding is required.
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…