Deep Learning Certification Training

Deep Learning Certification Training takes you from the mathematics of a single neuron to modern architectures used in vision and language. You learn why deep networks work, how they are trained, and how to diagnose them when they do not, rather than just copying code.

The course starts with perceptrons and multilayer networks, then covers loss functions, gradient descent, backpropagation, batch normalisation, dropout and optimisers such as Adam. It moves on to convolutional networks for images, transfer learning with pretrained models, recurrent networks for sequences, and attention and transformers, which underpin today's large language models. Practicals use PyTorch and Keras on free GPU notebooks, so you do not need special hardware.

There is no external exam; the course ends with a capstone and an Assure Success course-completion certificate. A short module on how this connects to generative AI shows where to go next.