This course is designed to empower students with the ability to:

• Understand and distinguish between different GPU system components.
• Create and manage environments using NGC container packages.
• Implement AI models effectively using Jupyter Notebook and PyTorch.
• Develop and utilize CUDA for high-performance accelerated computing.
• Visualize deep learning deployments across various scientific applications.
• Connect theoretical knowledge with hands-on, real-world applications.