The LUMI AI Factory will host an online course, Introduction to Deep Learning with PyTorch, scheduled for 16-17 September 2025. This training familiarizes participants with using PyTorch in an HPC setting, focusing on deep learning, fine-tuning, and testing neural network models, including implementing distributed data parallelism. Aimed at researchers and developers, the course features hands-on activities to develop practical skills.
The skills and knowledge gained in this course are highly valuable for professionals in different industries. By mastering how to train and implement neural network models in a high-performance computing setting, participants will be prepared to handle data-heavy tasks like automated quality checks, predicting customer behavior, demand forecasting, and sensor data classification. These methods can foster innovation and boost efficiency in areas such as manufacturing, healthcare, finance, agriculture, and logistics. The hands-on exercises provide practical experience, ensuring that attendees leave with useful tools for creating scalable, AI-driven solutions customized to their industry’s specific challenges.
