An exciting new professional certificate: PyTorch for Deep Learning taught by @lmoroney is now available at . This is the definitive program for learning PyTorch, which is one of the main frameworks researchers use to build breakthrough AI systems. If you want to understand how modern deep learning models work—or build your own custom architectures—PyTorch gives you direct control over the key aspects of model development. This three-course professional certificate takes you from fundamentals through advanced architectures and deployment: Course 1: PyTorch: Fundamentals - Learn how PyTorch represents data with tensors and how datasets fit into the training process. You'll build and train neural networks step by step, monitor training progress, and evaluate performance. By the end, you'll understand PyTorch's workflow and be ready to design, train, and test your own models. Course 2: PyTorch: Techniques and Ecosystem Tools - Master hyperparameter optimization, model profiling, and workflow efficiency. You'll use learning rate schedulers, tackle overfitting, and apply automated tuning with Optuna. Work with TorchVision for visual AI and Hugging Face for NLP. Learn transfer learning and fine-tune pretrained models for new problems. Course 3: PyTorch: Advanced Architectures and Deployment - Build sophisticated architectures including Siamese Networks, ResNet, DenseNet, and Transformers. Learn how attention mechanisms power modern language models and how diffusion models generate images. Prepare models for deployment with ONNX, MLflow, pruning, and quantization. Skills you'll gain: - Build and optimize neural networks in PyTorch—the framework researchers use to create breakthrough models - Fine-tune pretrained models for computer vision and NLP tasks—adapting existing models to solve your specific problems - Implement transformer architectures and work with diffusion models, the core technologies behind ChatGPT and modern image generation - Optimize models with quantization and pruning to make them fast and efficient for real-world deployment Whether you want to use pre-existing models, build your own custom models, or just understand what's happening under the hood of the systems you use, this specialization will give you that foundation. Start learning PyTorch: