“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Track: NVIDIA DLI Certificate of Competency
NVIDIABeginner
Fundamentals of Accelerated Data Science
This NVIDIA DLI program teaches teams how to perform multiple analysis tasks on large datasets using RAPIDS, NVIDIA’s collection of accelerated data science libraries. It provides a strong delivery foundation for modern GPU-accelerated data preparation, analysis, and machine learning workflows.
Duration
8 hours
Level
Beginner
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
In Demand
NVIDIA
Accelerated Data ScienceDS
GPU dataframes, ML, graph analytics
NVIDIA RAPIDS
RAPIDS
On this page
Ideal for
Data ScientistData ScienceTailored Team DeliveryImplementation-Focused
How VNode delivers this
Who this is for, and how we run it
VNode ITeS delivers Fundamentals of Accelerated Data Science as an MCT-led NVIDIA program for Data Scientist. Typical duration is 8 hours (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.
Audience Profile
Built for these roles
Built for data scientists who already work with Python-based analytics and want to apply GPU acceleration to real data preparation, analysis, and machine learning workflows.
Overview
Executive overview
Official NVIDIA DLI program focused on end-to-end GPU acceleration for enterprise data science workflows using RAPIDS libraries.
Readiness
Prerequisites
- Relevant foundational experience in the target technology area.
- Comfort with hands-on labs in a cloud or GPU-accelerated environment.
Program Outcomes
Capabilities your teams will gain
Strengthen capability in data science scenarios
Strengthen capability in nvidia rapids scenarios
Curriculum
Curriculum roadmap
1
Data Science
2
NVIDIA RAPIDS
1Module 1
Data Science
+
Module 1
Data Science
Cover data science skills and implementation practices aligned to Fundamentals of Accelerated Data Science.
- Cover data science skills
- implementation practices aligned to Fundamentals of Accelerated Data Science
2Module 2
NVIDIA RAPIDS
+
Module 2
NVIDIA RAPIDS
Cover nvidia rapids skills and implementation practices aligned to Fundamentals of Accelerated Data Science.
- Cover nvidia rapids skills
- implementation practices aligned to Fundamentals of Accelerated Data Science
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryBeginner practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Helps data teams speed up analytics and machine learning workflows on large datasets by adopting GPU-accelerated data science foundations with RAPIDS.
- •Use your tabular analytics scenario and representative datasets
- •Add Spark or deployment-focused follow-on modules
- •Extend into enterprise adoption planning for accelerated data science
Credentials
Certification & official source
- •NVIDIA DLI Certificate of Competency
Aligned to the official source referenced for this program.
View Official SourceResources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios