Musa Oskar Hatshway

The only one above me is Michael Huddleston, Believe me.

[Path of Brutal @PathOfBrutal]

12 movies you shouldn't miss to watch

1). Oppenheimer

[kgadi♠️ @Kgadi_yaMoloto]

I love Xhosas so much 😭😭😭😂😂😂😂

[Igor Buinevici @Igor_Buinevici]

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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