Skip Coursera. Skip Udemy. Skip expensive playbooks.
MIT has 11 amazing free AI courses:
Sharing this great course compilation from Anisha Jain.
1. AI 101
Clear introduction to core AI ideas.
Ideal if you’re starting from zero and want the big picture first.
🔗https://t.co/0v79GKwWSU
2. Introduction to Deep Learning
Hands-on bootcamp covering neural networks and modern deep learning foundations.
🔗https://t.co/B1VTITLuaA
3. Artificial Intelligence
Covers problem-solving, knowledge representation, and machine learning fundamentals.
🔗https://t.co/WxPsY4pQkQ
4. Introduction to Machine Learning
Beginner-friendly overview of ML principles and essential algorithms you’ll actually use.
🔗https://t.co/wpodNq0mRC
5. How to AI (Almost) Anything
Explore how AI applies to music, art, perception, and creative systems.
🔗https://t.co/yjYfmJmkHK
6. Understanding the World Through Data
Use data analysis and ML techniques to interpret real-world problems.
🔗https://t.co/NyQW6lcB3e
7. Artificial Intelligence in K-12 Education
Foundations of AI technology and how it can shape learning environments.
🔗https://t.co/gp6sqG9ue0
8. Introduction to Algorithms
A key prerequisite for building efficient AI systems and writing optimized code.
🔗https://t.co/8FjvYNqGsZ
9. Foundation Models and Generative AI
Deep dive into modern AI systems (like ChatGPT) and how large models work.
🔗https://t.co/o9IVWIozU6
Focus on one AI track at a time.
Dedicate 30–45 minutes daily and practice as you go.
Apply your learning in small projects or real tasks to grow quickly.
♻️ Share this so more people can access these free resources.
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