NVIDIA-Certified Professional: Accelerated Data Science (NCP-ADS)

The NCP Accelerated Data Science certification is an intermediate-level credential that validates a candidate’s proficiency in leveraging GPU-accelerated tools and libraries for data science workflows.

Candidate audience includes:

  • Data scientists
  • Data engineers
  • Data analysts
  • Machine learning engineers
  • AI DevOps engineers
  • Applied data scientists
  • Software engineers
  • Solution architects
  • Deep learning performance engineers
  • Researchers

Prerequisites

Two to three years of hands-on experience in accelerated data science. Strong foundation in machine learning and GPU-accelerated computing. Experience in GPU-based optimization strategies and accelerated data manipulation techniques. Deep understanding of end-to-end data science workflows, from data preparation and cleansing to model development and deployment, with a focus on leveraging GPU acceleration for enhanced performance and efficiency.

Recommended training for this certification

  • Accelerating End-to-End Data Science Workflows
  • Fundamentals of Accelerated Data Science
  • Enhancing Data Science Outcomes With Efficient Workflow

Exams

Certification Exam Details

  • Duration: 90 minutes
  • Price: $200
  • Certification level: Professional
  • Subject: Accelerated data science
  • Number of questions: 60–70
  • Language: English

Topics covered in the exam include:

  • Data analysis
  • Data manipulation and software literacy
  • Data preparation
  • GPU and cloud computing
  • Machine learning
  • MLOps

Recertification

This certification is valid for two years from issuance. Recertification may be achieved by retaking the exam.