Stop wasting thousands on overpriced AI bootcamps! You can master the exact same skills for free with these channels 👉 Full breakdown in comment. Get more GenAI resources for FREE: codenewsletter.ai/subscribe?ut...…

Andrej Karpathy → Founding member of OpenAI and the former Director of AI at Tesla. His "Zero to Hero" series is legendary. Posts once a year but that’s enough to create ripples in the AI industry. (Note: He taught Stanford's first Deep Learning course (CS231n), which trained the first generation of modern AI engineers) GenAI Explained → Turning complex AI breakthroughs into short, practical, and easy to understand videos that help you discover what matters, learn how it works and grow your skills in real-time. Backed by a global community of 13M+ builders and researchers Stanford Online → Ivy League education for free. Famous CS224N (Natural Language Processing) and CS231n lectures. Watch the world’s leading researchers (like Li Fei-Fei and Christopher Manning) deliver the same content their students pay thousands for. Serrano Academy → Luis Serrano (PhD in Math and Author) simplifies complex topics through hand-drawn cartoons and analogies. Learn attention mechanisms and LLMs with a friendly and high-energy vibe. Jeremy Howard → Top-down learning. Build the app first, figure out the math later. Teaches practical deep learning for coders. No PhD required. 3Blue1Brown → Visual poetry. Grant Sanderson uses his own custom animation engine (Manim) to visualize neural networks, backpropagation and linear algebra. He made the Transformer architecture (the T in ChatGPT) visually understandable for the first time. Hamel Husain → Learn the dirty work of AI: evaluations (evals), data curation and deployment. He is the Engineer's Engineer. Former Lead ML Engineer at GitHub and Airbnb and a major contributor to open-source tools like nbdev. Dave Ebbelaar → King of RAG (Retrieval-Augmented Generation). While others talk about models, he talks about pipelines and how to connect your private data (PDFs, Notion, SQL) to an LLM safely. Machine Learning Street Talk → Deeply technical and unedited. Interviews with AI rebels like Yann LeCun (former Meta's AI chief), who challenge the current direction of LLMs. Critical, non-hype perspective. Lex Fridman → Introspective interviews with everyone who matters in AI: Sam Altman, Demis Hassabis, Yann LeCun, Elon Musk. Vision and history of where the field is going.