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

Dates	Location	Status
Mon Jan 4 – Jan 7, 20274 days	Atlanta, GA431 Marietta St NW	Open	Request info
Mon Jan 11 – Jan 14, 20274 days	Burbank, CA3301 N San Fernando Blvd	Open	Request info
Mon Jan 25 – Jan 28, 20274 days	Sterling, VA21481 Ridgetop Cir	Open	Request info
Mon Feb 22 – Feb 25, 20274 days	Atlanta, GA431 Marietta St NW	Open	Request info
Mon Mar 1 – Mar 4, 20274 days	Burbank, CA3301 N San Fernando Blvd	Open	Request info
Mon Mar 22 – Mar 25, 20274 days	Sterling, VA21481 Ridgetop Cir	Open	Request info
Mon Apr 12 – Apr 15, 20274 days	Atlanta, GA431 Marietta St NW	Open	Request info
Mon Apr 26 – Apr 29, 20274 days	Burbank, CA3301 N San Fernando Blvd	Open	Request info
Mon May 17 – May 20, 20274 days	Sterling, VA21481 Ridgetop Cir	Open	Request info
Mon Jun 7 – Jun 10, 20274 days	Atlanta, GA431 Marietta St NW	Open	Request info
Mon Jun 21 – Jun 24, 20274 days	Burbank, CA3301 N San Fernando Blvd	Open	Request info
Mon Jul 12 – Jul 15, 20274 days	Sterling, VA21481 Ridgetop Cir	Open	Request info
Mon Aug 2 – Aug 5, 20274 days	Atlanta, GA431 Marietta St NW	Open	Request info
Mon Aug 16 – Aug 19, 20274 days	Burbank, CA3301 N San Fernando Blvd	Open	Request info
Mon Sep 13 – Sep 16, 20274 days	Sterling, VA21481 Ridgetop Cir	Open	Request info
Mon Sep 27 – Sep 30, 20274 days	Atlanta, GA431 Marietta St NW	Open	Request info
Mon Oct 18 – Oct 21, 20274 days	Burbank, CA3301 N San Fernando Blvd	Open	Request info
Mon Nov 1 – Nov 4, 20274 days	Sterling, VA21481 Ridgetop Cir	Open	Request info
Mon Nov 29 – Dec 2, 20274 days	Atlanta, GA431 Marietta St NW	Open	Request info
Mon Dec 6 – Dec 9, 20274 days	Burbank, CA3301 N San Fernando Blvd	Open	Request info

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.

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