PyTorch Fundamentals

This course introduces you to the core principles of deep learning through hands-on coding in PyTorch. You’ll start by learning how PyTorch represents data with tensors and how datasets and data loaders fit into the training process. Step by step, you’ll build and train neural networks, experiment with different architectures, and explore how models learn from examples. You’ll also learn how to monitor training progress, interpret results, and evaluate performance. By the end of the course,

• Learn PyTorch fundamentals and its core building blocks
• Build and train neural networks step by step
• Implement a complete training pipeline in PyTorch

• Python programming knowledge
• Basic deep learning concepts