AI frameworks are essential tools that provide the infrastructure needed to build, train, and deploy machine learning and deep learning models. AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn offer libraries, APIs, and workflows for data processing, model optimization, and scalability. These platforms support neural networks, natural language processing, computer vision, and more. AI frameworks enable developers to prototype faster, manage resources efficiently, and deploy models across various devices and cloud environments. With built-in support for distributed training and advanced debugging, they simplify complex AI development tasks. Explore how AI frameworks empower developers, data scientists, and enterprises to implement powerful, scalable, and production-ready AI solutions across industries and applications.