This course introduces you to machine learning fundamentals using PyTorch, a powerful and widely adopted open-source deep learning framework that is trusted by researchers and industry professionals alike. You’ll learn how to build, train, and evaluate models for tasks like classification, regression, and image recognition, while also understanding the underlying mathematical concepts and best practices for model development. Through hands-on projects, you’ll explore tensors, data pipelines, model architectures, and optimization techniques in depth, gaining practical skills to develop, fine-tune, and deploy intelligent systems across various domains, from computer vision to natural language processing, ensuring you are well-prepared to tackle real-world AI challenges.