According to Andrew Ng (@AndrewYNg), DeepLearning.AI has launched the PyTorch for Deep Learning Professional Certificate taught by Laurence Moroney (@lmoroney). This three-course program covers core PyTorch fundamentals, advanced neural architectures, and deployment strategies, making it an essential resource for AI professionals and researchers. The curriculum starts with PyTorch basics like tensors and neural network training, advances to hyperparameter tuning and transfer learning with TorchVision and Hugging Face, and culminates with deployment techniques using ONNX and MLflow. The certificate addresses practical business needs by teaching skills such as model optimization, transformer implementation, and diffusion model development, which are critical for building scalable AI systems and custom solutions. This specialization meets high industry demand for PyTorch expertise, offering actionable knowledge for deploying efficient AI models in production environments (Source: @AndrewYNg, DeepLearning.AI, 2025-10-29).