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The 12 YouTube Videos That Teach You AI Better Than Any Course
Learn machine learning, neural networks, and LLMs from the world’s best professors and creators for free.
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YouTube is the best place to master AI without paying a cent.
But most people never find the right videos.
Here’s a curated list of the most valuable ones to learn AI deeply and practically in 2025.
# | Title | What You’ll Learn | Watch |
|---|---|---|---|
1 | Stanford: Machine Learning | The gold standard for mastering ML fundamentals. Learn the math, logic, and foundation that power modern AI. | |
2 | But What Is a GPT? | A visual breakdown of how GPT models like ChatGPT work. Understand attention, tokens, and how they changed AI. | |
3 | Large Language Models in Brief | A clear, concise explanation of LLMs. See how text prediction creates reasoning and understanding. | |
4 | But What Is a Neural Network? | The most intuitive introduction to neural networks. See visually how deep learning models learn and adapt. | |
5 | Deep Dive into LLMs Like ChatGPT | Learn prompt engineering, system behavior, and how to communicate effectively with AI. | |
6 | Introduction to Large Language Models | A detailed, expert-led guide to understanding how LLMs are built and secured. | |
7 | MIT Introduction to Deep Learning | MIT’s most popular AI course. Learn neural networks, computer vision, and modern deep learning techniques. | |
8 | How ChatGPT Writes Your Thesis in Under 40 Minutes | A step-by-step walkthrough on using AI for writing and research. Ideal for students and creators. | |
9 | The Spelled-Out Intro to Neural Networks | A detailed walkthrough explaining every step of how neural networks learn. Bridges theory with code. | |
10 | Stanford CS229: Machine Learning Course | The full academic course that built thousands of AI careers. Learn core algorithms and real-world applications. | |
11 | Deep Learning for Computer Vision (Playlist) | Learn how AI interprets and understands images. Covers convolutional networks and visual recognition. | |
12 | AI Search Is Printing (ChatGPT, GEO & Perplexity) | A look at the new generation of AI search tools like GEO and Perplexity. Understand how they change discovery. |
How to Use This Playlist
You don’t need to watch all of them at once.
Follow this structure for the best learning flow:
Weeks 1-2: Stanford + Neural Networks (foundation)
Weeks 3-4: LLMs + Prompting (application)
Weeks 5+: Deep Learning + Computer Vision (advanced)
Watch one video per day, take notes, and apply what you learn immediately.
Why This Matters
AI is moving fast.
Those who build real understanding now will stay ahead of everyone still “experimenting later.”
One hour a day with these resources will give you a stronger AI foundation than most paid courses ever could.
Catch you tomorrow.
If this helped, share Get Into AI with someone who wants to learn AI, not just talk about it.
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