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

About This Certification

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. The exam is online and proctored remotely, includes 60–70 questions, and has a 120-minute time limit.

Please carefully review our certification FAQs and exam policies before scheduling your exam.

Certification Exam Details

Duration: 120 minutes

Price: $200 

Certification level: Professional

Subject: Accelerated data science

Number of questions: 60–70

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.

Language: English 

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

Credentials: Upon passing the exam, participants will receive a digital badge and optional certificate indicating the certification level and topic.

Topics Covered in the Exam

Topics covered in the exam include:

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

Candidate Audiences

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

Exam Study Guide

Review study guide