NVIDIA-Certified Professional: Accelerated Data Science
Exam Code: NCP-ADS
The NVIDIA-Certified Professional: Accelerated Data Science certification validates your ability to build, optimize, and deploy data science workflows using GPU acceleration and NVIDIA’s accelerated computing tools for high-performance data processing and machine learning.
- Exam Breakdown
- Domain Breakdown
- Access Breakdown
Exam Format
- Exam Code: NCP-ADS
- Certification Level: Professional
- Exam Duration: 90 minutes
- Passing Score: Not officially disclosed by NVIDIA
- Unscored Content: The exam may include unscored questions for research purposes. These do not affect your score and are not identified.
Exam Details
- Question Types: Multiple choice and multiple-select questions
- Number of Questions: Approximately 50–60 questions
- Hands-On Questions: The exam evaluates practical understanding of accelerated data science workflows, GPU computing concepts, and performance optimization techniques using NVIDIA technologies.
Exam Policies
- Offline Proctoring: Not available for this certification exam.
- Online Proctoring: The exam is delivered online through NVIDIA’s official certification testing platform and can be taken remotely with a proctor monitoring the session.
- Waiting Period: Candidates who fail must wait before retaking the exam according to NVIDIA certification retake policies.
- Retake Fee: Full exam fee must be paid for each retake.
Certification Validity and Renewal
- Validity: 2 years
- Renewal Options: Pass the latest version of the certification exam or meet NVIDIA recertification requirements.
Exam Fee
- Base Fee: $400 USD (excluding taxes)
- Taxes: Country-specific VAT may apply
- Example: In India, 18% tax applies, making the total $472 USD ($400 + $72 tax)
Prerequisites
There are no formal prerequisites for taking the NCP-ADS exam. However, it is recommended to have:- Experience with Python programming and data science workflows
- Familiarity with machine learning concepts and data analysis techniques
- Basic understanding of GPU computing concepts
- Experience with data science tools such as Pandas, NumPy, or similar frameworks
Exam Topics
- Accelerated Data Science Fundamentals: GPU computing concepts, parallel processing, accelerated computing principles
- NVIDIA RAPIDS Ecosystem: GPU-accelerated data science libraries such as cuDF, cuML, and cuGraph
- Data Processing and Analysis: Data preparation, transformation, and analysis using GPU acceleration
- Machine Learning with GPUs: Training and optimizing machine learning models using accelerated frameworks
- Performance Optimization: Improving performance of data pipelines and analytics workloads using GPUs
- Deployment and Scaling: Running accelerated data science workloads in production environments
Intended Audience
The NVIDIA-Certified Professional: Accelerated Data Science certification is ideal for professionals working with large-scale data analytics and machine learning workflows, including roles such as:- Data Scientist
- Machine Learning Engineer
- AI Engineer
- Data Engineer
- Analytics Engineer
Career Impact
Jobs You Can Get:
- Data Scientist, Machine Learning Engineer, AI Engineer, Data Engineer, Analytics Engineer
Average Salary:
- U.S.: $80,000–$120,000 USD,
- India: ₹7,00,000–₹18,00,000 INR,
- United Kingdom: £45,000–£75,000 GBP,
- UAE: 160,000–300,000 AED per year.
Why It’s Valuable:
- GPU-accelerated data science enables faster processing of massive datasets and large machine learning models, making professionals with these skills highly valuable in AI-driven organizations.
Exam Mode
The exam is typically delivered:- Online through NVIDIA certification testing platform
- Through authorized NVIDIA certification partners (availability varies by region)
Exam Booking Link
- ook your NVIDIA Accelerated Data Science Professional Exam via NVIDIA Certification Portal — Click here https://www.nvidia.com/en-us/learn/certification/
Once you pass the exam:
- Access your certification badge and certificate from the NVIDIA Certification portal
- Processing Time: Certificate available within 24 to 48 hours after passing the exam
- Log in to your NVIDIA certification account
- Navigate to the Certifications section
- Download your certificate or claim your digital badge
Offers
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Top Reasons to Choose
NVIDIA-Certified Professional: Accelerated Data Science
Accelerated Data Science Skills for Modern AI Workloads
Organizations working with massive datasets and complex machine learning models require accelerated computing solutions. This certification demonstrates the ability to use GPU-powered data science tools to process data faster and build efficient AI pipelines.
Career Advancement in Data Science and AI Engineering
Professionals with GPU-accelerated data science expertise are in high demand as organizations adopt high-performance computing for analytics and AI development. This certification strengthens credibility and opens opportunities in advanced data science and machine learning engineering roles.
Expertise in NVIDIA RAPIDS and GPU Computing
The certification validates practical knowledge of NVIDIA RAPIDS libraries and GPU acceleration technologies that dramatically improve the speed of data processing, machine learning training, and large-scale analytics workflows used in enterprise AI environments.
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FAQ
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Who should take the NVIDIA-Certified Professional: Accelerated Data Science exam?
The NCP-ADS exam is designed for data scientists, machine learning engineers, and analytics professionals who want to accelerate data science workflows using GPU computing. It is particularly useful for professionals working with large datasets, machine learning models, and high-performance analytics pipelines in AI-driven organizations.
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How difficult is the NCP-ADS exam?
The NCP-ADS exam is considered intermediate to advanced. Candidates should have experience with Python-based data science workflows and familiarity with machine learning concepts. Understanding GPU acceleration technologies and NVIDIA RAPIDS libraries will significantly help candidates successfully pass the certification exam.
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Why does NVIDIA offer the Accelerated Data Science Professional certification?
NVIDIA offers this certification to validate skills required to build high-performance data science pipelines using GPU acceleration. As datasets grow larger and models become more complex, organizations require professionals who can efficiently use accelerated computing technologies to speed up analytics, machine learning training, and data processing.
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What tools and resources can be used to prepare for the NCP-ADS exam?
Candidates can prepare using NVIDIA Deep Learning Institute courses, RAPIDS documentation, Python data science frameworks, and hands-on GPU computing practice. Studying cuDF, cuML, and other RAPIDS libraries will help candidates understand accelerated data science workflows and the concepts tested in the certification exam.
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Is the NVIDIA-Certified Professional: Accelerated Data Science certification valuable in 2026?
Yes, the NCP-ADS certification remains highly valuable in 2026 because organizations increasingly rely on GPU-accelerated computing to process massive datasets and train machine learning models. Professionals with expertise in accelerated data science can build faster analytics pipelines and support modern AI-driven business applications.
