Deep Learning Courses for Developers

12 courses on building with neural networks — the architecture behind modern AI, from image recognition to the large language models everyone now uses. They're hands-on and code-first, for developers who want to understand deep learning well enough to build and train networks themselves.

Deep learning is the engine under most of what's called AI today: layered neural networks that learn representations directly from data. These courses take you into how they actually work and how to build them — the structure of a network, how training adjusts it through backpropagation, and the architectures that dominate the field today — transformers for language, and the models that generate and interpret images and video. Expect to write code and work with frameworks rather than just read about the ideas. They suit developers who already have some programming footing and want to move from using AI to constructing the models underneath it — whether to specialize in it or to demystify what the large systems are doing.