Certificate available Get hands-on with RAPIDS, a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows. You'll learn how to apply a wide variety of GPU-accelerated machine learning algorithms including XGBoost, cuGRAPH, and cuML to perform data analysis at massive scale.

Discover how policy makers, researchers, and business leaders are collaborating and dynamically integrating AI into their organizations. NVIDIA's GPU Technology Conference (GTC) is the premier AI conference series, providing training, insights, and direct access to experts across policy and many other AI-related topics.

Nominate graduate students and early-career professional colleagues for the opportunity to participate -- free of charge -- in the Women's Early Career Accelerator. This by-invitation-only training and networking event takes place on Monday, November 4. The day-long program, designed for women just getting started in deep learning, will introduce the fundamentals through a hands-on workshop and connect them with women doing important work in the field. The ideal candidate is a developer, data scientist, engineer, researcher, or student in a technical field who wants a hands-on introduction to deep learning and computer vision. Participants should be familiar with basic programming fundamentals like functions and variables, but no prior experience with deep learning is necessary. These sponsored registrations are available to a limited number of people.