Many students/AI enthusiasts have questions about where to start with Machine Learning. There are learning paths out there that suggest what to learn, they often miss the main question - 'where do I learn?' Luckily, there are tons of free courses available from top universities like Stanford, Harvard, MIT, and CMU - covering basic to advanced topics. Now, the best part is that these courses not only provide lectures but also class slides, codes, and detailed lecture plans. To make things even easier, I've compiled a list of these courses in thus repository. You'll find all links of different courses from top universities. It's all free and accessible to anyone.

This repository contains a curated list of top AI courses offered by renowned universities.

• Artificial Intelligence, Machine Learning
• Computer Science
• Statistics
• Data Science
• Deep Learning
• Computer Vision
• Natural Language Processing
• Generative AI & LLMs
• Generative AI with Vision
• Graph Neural Networks
• Reinforcement Learning
• Time Series/Audio/Signal Processing
• MLOps
• Psychology and Cognitive Modeling
• Unsupervised Learning
• Explainable AI

➡️ Only few selected resourses from only few selected topics are presented here in this page. To get access to all resources, check topic list an go to topic wise pages. ⬆️ CLICK HERE ⬆️

• DataCamp Mega Collection

Hey there! We are building something awesome, and we want you to be a part of it! Our goal is to create the ultimate resource hub for learning machine learning, data science and artificial intelligence. But we can't do it alone - we need your help!

• Feel free to open an issue, and let's build something amazing together. Check out our contribution guide for more information.
• Join us and let's make the best DS-ML-AI resource hub on the planet! 🚀

Azmine Toushik Wasi