An exciting new professional certificate: PyTorch for Deep Learning taught by @lmoroney is now available at https://t.co/zpIxRSuky4. 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…
A staged path from tensors through hyperparameter tuning with Optuna and transfer learning to custom architectures and deployment, for engineers who need to modify models rather than only call an API.
Read the full post on X ↗
