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MIT Introduction to Deep Learning (2026)
MIT’s fast-paced deep learning bootcamp, refreshed every year. Covers sequence models and transformers, computer vision, generative models, reinforcement learning and current frontiers.
Alexander Amini, Ava Amini · MIT 6.S191
AI & Automation
Expert8 h 19 min9 lessons
Video course
Free
Free
Neural Networks: Zero to Hero
Build neural networks from scratch in code, one idea at a time: an autograd engine, character-level language models, and finally your own GPT and tokenizer.
Andrej Karpathy
AI & Automation
Expert18 h 38 min9 lessons
Video course
Free
Free
Practical Deep Learning for Coders
A top-down course that has you training and deploying working models in the first lesson, then opens them up: neural net foundations, NLP, random forests, collaborative filtering and CNNs.
Jeremy Howard · fast.ai
AI & Automation
Expert12 h 34 min8 lessons
Video course
Free
Free