Introduction to Deep Learning with PyTorch

Over roughly four hours you work directly with tensors, activation functions, loss calculations and training loops — a hands-on, current entry into deep learning rather than a theory lecture. It does assume you're comfortable in Python, so it's a poor start if you're not, or if you'd rather see the underlying maths derived first. It runs on DataCamp's subscription (roughly $14/month on the annual plan, first chapter free), and the completion certificate marks the learning rather than certifying it. PyTorch is a stable, widely used framework (as of 2026).

Introduction to Deep Learning with PyTorch teaches you to build and train neural networks in one of the field's leading frameworks. Over about four hours you work with tensors, activation functions, loss calculations and training loops, applying them to regression and classification on both tabular and image data.