This repository curates links to free Artificial Intelligence (AI) courses and resources, catering to learners from beginner to advanced levels. It serves as a centralized hub for discovering high-quality educational content across various AI subfields, aiming to facilitate AI learning and career development.

How It Works

The project functions as a curated list, presented in a Markdown table format. Each entry details a specific AI course or resource, including its topic, format (e.g., YouTube playlist, website, GitHub repository), difficulty level (visualized with colored squares), release year, price (consistently free), and a direct link. This structured approach allows users to quickly scan and identify relevant learning materials.

Quick Start & Requirements

No installation is required. Access the curated list directly via the GitHub repository.

Highlighted Details

• Comprehensive coverage of AI subfields: Generative AI, Deep Learning, NLP, Computer Vision, LLMs, MLOps, Reinforcement Learning, and more.
• Resources are exclusively free, sourced from reputable institutions like MIT, Stanford, Harvard, and companies like Microsoft, Hugging Face, and DeepMind.
• Difficulty levels are indicated, aiding learners in selecting appropriate content.
• Content spans from 2013 to 2023, offering both foundational and cutting-edge topics.

Maintenance & Community

The repository encourages community contributions via issues and pull requests to add new resources or suggest improvements. A contribution guide is available.

Licensing & Compatibility

The repository itself is likely under a permissive license (e.g., MIT, Apache 2.0) given its nature as a curated list of links. However, the licensing of the linked external resources varies and is not specified here.

Limitations & Caveats

The repository only lists free resources and does not provide direct access to course materials, only links. The "difficulty" rating is subjective and may not perfectly align with every learner's perception.