Learn the fundamentals of PyTorch in this university-level tutorial designed for machine learning students and practitioners. Explore essential PyTorch concepts, syntax, and implementation techniques while gaining hands-on experience with this powerful deep learning framework. Master core functionalities including tensor operations, autograd mechanics, neural network construction, and model training workflows that form the foundation for modern machine learning development. Develop practical skills through guided examples that demonstrate how to leverage PyTorch's capabilities for building and deploying machine learning models effectively.