Recommended by Nextia
People everywhere work to make AI better and to make it open to everyone. They teach for free, share their code and explain hard ideas clearly. Our mission is to help you build with AI, so we point you to the best of their work.
Our team chooses each pick. Nobody pays us to show them. They open on other sites.
Videos, courses, articles and channels that teach AI well. We say why we chose each one.
Video · 3 h 31 minYouTube · Andrej Karpathy
Why we recommend itA clear, complete explanation of how a model like ChatGPT is made: internet text, tokens, pre-training, fine-tuning and reinforcement learning. You do not need to write code to follow it. It is long, so watch it in parts.
Course · 1 h 16 minDeepLearning.AI · Josh Starmer
Why we recommend itJosh Starmer explains attention one step at a time, with simple pictures. Then you write it in PyTorch. Take it when you know basic Python and what a matrix is.
ChannelYouTube · Grant Sanderson
Why we recommend itGrant Sanderson makes hard mathematics easy to see. Start with his series on neural networks and on linear algebra. They are a very good partner to our mathematics course.
Article · 4 min readThe Batch, DeepLearning.AI · Andrew Ng
Why we recommend itAndrew Ng and his team studied more than 10,000 job posts and talked to experts and hiring managers. The result is a short list of the skills that an AI engineer needs now. Use it to check your learning plan.
ChannelYouTube · Luis Serrano
Why we recommend itLuis Serrano explains machine learning, the mathematics behind it and how transformers work, with simple pictures and friendly examples. He is the author of Grokking Machine Learning. A good partner to our mathematics and machine learning courses.
People who teach, build and share their work in the open. Follow them to keep up with AI.
Teacher and researcher. Founder of Eureka Labs, a founding member of OpenAI and a former director of AI at Tesla.
Why followHe explains how neural networks and LLMs work from first principles, and he shares the code. His posts often name new ideas early.
Founder of DeepLearning.AI and co-founder of Coursera. He co-founded Google Brain and teaches at Stanford.
Why followHis machine learning courses started millions of people in AI, and he still explains new ideas in plain words. His posts and his weekly newsletter, The Batch, show what matters now for people who build with AI.
Professor at New York University and executive chairman of AMI Labs. He won the 2018 Turing Award for his work on deep learning.
Why followOne of the founders of deep learning, and the inventor of convolutional neural networks. He often disagrees with popular views, for example that LLMs alone will lead to human-level AI, and he explains why. Follow him for a strong, reasoned second opinion.
Creator of Keras and author of Deep Learning with Python. Co-founder of Ndea and of the ARC Prize.
Why followHe writes clearly about what deep learning can and cannot do. He built the ARC-AGI tests to measure how well AI learns new skills, not how much it remembers. His book is one of the best ways to learn deep learning in practice.
Creator of Claude Code at Anthropic, and author of Programming TypeScript.
Why followHe shares how he and his team work with AI coding agents every day: how they plan, review and test with them. Practical advice for anyone who writes software with AI.
