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.