9 AI Playlists That Actually Helped Me Level Up ⚡
So lately I’ve been exploring AI a lot, and honestly, YouTube has been a goldmine.
I’m not talking random hype videos — I mean proper playlists that explain the concepts, break down how things work, and actually help you build stuff.
After spending way too many nights watching and taking notes, I’ve saved 9 playlists that really helped me understand things better.
Sharing them here so you don’t waste time searching 👇
1️⃣ MIT 6.S191 — Intro to Deep Learning
Perfect starting point if you want to understand CNNs, RNNs, transformers, and more.
▶ Watch
2️⃣ Neural Networks: Zero to Hero — Andrej Karpathy
If you want to build neural networks from scratch and actually know what’s going on, start here.
▶ Watch
3️⃣ Stanford CS336 — Large Language Models
Covers how models like GPT are trained and fine-tuned.
▶ Watch
4️⃣ Stanford CS236 — Generative AI
GANs, diffusion models, and everything behind AI-generated content.
▶ Watch
5️⃣ University of Michigan — Computer Vision
Making AI understand and work with images/videos.
▶ Watch
6️⃣ DeepMind — Reinforcement Learning
How AI learns by trial and error.
▶ Watch
7️⃣ UC Berkeley — LLM Agents
From basic chatbots to multi-step AI agents that can plan and execute.
▶ Watch
8️⃣ Stanford — Machine Learning Systems
Everything about scaling AI for production.
▶ Watch
9️⃣ Harvard CS50 — Introduction to Artificial Intelligence with Python
Perfect starting point if you want to code AI from scratch. Covers search algorithms, knowledge representation, machine learning, and neural networks — all in Python.
▶ Watch
📌 Tip: Start with MIT 6.S191, then Karpathy’s series for coding, and go to Machine Learning Systems when you’re ready to deploy.
If you’re getting into AI, this list will save you hours of searching and help you learn the right way.
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