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Home › Courses › NVIDIA › NVIDIA-Certified Professional: Accelerated Data Science (NCP-ADS)
NVIDIANVNCPADS

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

We do not teach just for the test.Worked examples and real discussion, not a question bank. The exam is then delivered in the classroom — 98% pass it first time.
$2,795catalog price — your starting point
thinQflex™Tell us what you would like to pay for this class — in full, or across twelve monthly payments.
Next date
  • 4 Jan 2027Atlanta, GA
Make your offerCourse datasheet (PDF)
4 daysconsecutive days
Live onlineor in the classroom
ProfessionalArtificial Intelligence
50% labs50% lecture
24 monthsfree retakes

Course overview

Download the course datasheetThe full outline for NVIDIA-Certified Professional: Accelerated Data Science (NCP-ADS), as a PDF.
thinQtank® Learning is offering a unique four-day training camp comprised of four days of instructor-led learning that gives students the knowledge and skills needed to analyze, prepare and manipulate large datasets on GPUs, use GPU and cloud computing effectively, build and tune machine learning models and run MLOps for accelerated data science workflows.

The camp follows the official NVIDIA NCP-ADS exam topics and study guide, with hands-on Python labs with RAPIDS and GPU-accelerated ML throughout.

NVIDIA, CUDA, RAPIDS, InfiniBand, Spectrum, NeMo, NIM and Omniverse are trademarks of NVIDIA Corporation. OpenUSD is maintained by the Alliance for OpenUSD.

This course prepares students to take the NVIDIA-Certified Professional: Accelerated Data Science (NCP-ADS) exam.

What's included

13 items
thinQtank® Learning Accelerated Custom Exam Study Guide for NCP-ADS
Hands-on Python labs with RAPIDS and GPU-accelerated ML
Custom and focused exam preparation software and materials
Course specific thinQtank® Learning publications to promote a fun and exciting learning
Membership to the thinQtank® Learning University Online
WE DO NOT "TEACH THE TEST" - Students will receive valuable examples and discussion
All courses taught by AI engineers experienced with NVIDIA platforms
Additional hours of remote lab access
Custom video recordings with even more in-depth learning of course topics
Customized practice exam software
Digital courseware
Retake any or all portions of the course as many times as you like in person or live on-line for 24 months
Six months mentoring access to our engineers after completing the course

What you'll be able to do

19 objectives
  • Perform exploratory, time-series anomaly and graph analysis with cuGraph
  • Design accelerated ETL and distributed multi-GPU processing with Dask
  • Cleanse, transform and generate synthetic data with cuDF and RAPIDS
  • Apply CRISP-DM and manage dependencies with Docker and Conda
  • Engineer features, tune hyperparameters and train on single- and multi-GPU setups
  • Optimize GPU memory with batching, mixed precision and optimal data types
  • Benchmark, deploy and monitor GPU-accelerated models in production
  • Accelerated Data Science and CRISP-DM
  • Exploratory and Time-Series Data Analysis
  • Graph Analytics with cuGraph
  • Data Acquisition, Cleansing and Preprocessing with cuDF
  • Synthetic Data and Pipeline Bottlenecks
  • Accelerated ETL and Data Caching
  • Distributed Multi-GPU Processing with Dask
  • Profiling and Library Selection
  • Environments: Docker, Conda and Data Types
  • Feature Engineering and Hyperparameter Optimization
  • Single- vs. Multi-GPU Training and Memory Optimization
  • MLOps: Benchmarking, Deployment and Monitoring

The exam

70questions maximum
120minutes to complete
  • Six topic areas: Data Analysis (14%); Data Manipulation and Software Literacy (19%); Data Preparation (17%); GPU and Cloud Computing (16%); Machine Learning (15%); MLOps (19%)
  • Delivered online with a remote proctor through Certiverse; English only
  • Exam fee: $200 (set by NVIDIA)
  • Valid two years; recertify by retaking the current exam

Who it's for, and what you need first

Target Audience

  • Data Scientist
  • Data Engineer
  • Machine Learning Engineer
  • AI DevOps Engineer
  • Service members, veterans and military spouses using AF COOL, Army Credentialing Assistance, MyCAA or VET TEC 2.0

Prerequisites

  • No certification is required
  • Recommended: Two to three years of hands-on accelerated data science and machine learning
  • NCA-ADS or equivalent data science experience is a strong foundation

How it's delivered

Instructor-Led Training
Immersive Live-Online Training
On-Site and Custom Delivery

Dates and locations

20 scheduled
Guaranteed to run means the class goes ahead whatever the enrollment.
Prices shown are MSRP. Qualified military personnel funding through Air Force COOL, Army Credentialing Assistance, MyCAA or VET TEC 2.0 pay a flat $1,500 per class, whatever the listed price. Everyone else — call 855-868-4467 about group pricing, discounts and current promotions.