NVIDIA Certified Associate - Accelerated Data Science

Validates foundational proficiency in leveraging GPU-accelerated tools and libraries for data science workflows, including RAPIDS cuDF for data manipulation, cuML for machine learning, data science pipeline automation, descriptive analysis and visualization, GPU computing foundations, introductory MLOps practices, advanced data structures with cuGraph, and software environment management. The exam covers eight domains: Data Manipulation and Preparation (23%), Machine Learning With RAPIDS (16%), Data Science Pipelines and Workflow Automation (13%), Descriptive Analysis and Visualization (13%), Foundations of Accelerated Data Science (12%), Introductory MLOps Practices (10%), Advance Data Structures (7%), and Software and Environment Management (6%). Format: 50-60 multiple-choice questions, 60 minutes, proctored online.