Can the program be customized?

Yes. RAPIDS Accelerator for Apache Spark supports customization around lab depth, demo context, certification focus, and team-specific scenarios.

Yes. This program includes instructor-led labs and practical exercises aligned to real implementation patterns.

How does this align with official certification or curriculum?

This program is aligned to the official Official Source curriculum and learning path referenced for this track.

How are prerequisites assessed?

We review prerequisite readiness during scoping and can recommend preparatory modules or a skills checkpoint before cohort start.

What happens after the program?

Private cohorts receive a handover summary, recommended next learning paths, and optional follow-on advisory for rollout or certification readiness.

Enterprise Program Brief

RAPIDS Accelerator for Apache Spark

Introduces the RAPIDS Accelerator for Apache Spark and the patterns teams can use to improve Spark workload performance.

Track: NVIDIA DLI Certificate of CompetencyNVIDIAIntermediateEnterprise Track

Plan Private Delivery Consult a Solutions Architect

Download Program Brief (PDF)

Program Snapshot

Engagement scoped to cohort

Duration8 hours

FormatVirtual, On-site, or Hybrid

LevelIntermediate

Certification TrackNVIDIA DLI Certificate of Competency

SubjectSpark Acceleration

MCT-led delivery
Private cohort / virtual ILT
Typical response: 1 business day

Scoping call typically scheduled within one business day

VNode ITeS delivers RAPIDS Accelerator for Apache Spark 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 Spark teams evaluating GPU acceleration for data engineering and analytics workloads.

Data Scientist
Spark Acceleration
Tailored Team Delivery
Implementation-Focused

Overview

Executive overview

Official NVIDIA DLI self-paced course focused on accelerating Apache Spark with the RAPIDS Accelerator.

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 spark acceleration scenarios
Strengthen capability in nvidia rapids scenarios
Strengthen capability in data science scenarios

Enterprise Delivery

Official learning & delivery options

Review the vendor learning resource, then book a consultation or request a private cohort for your team.

View Official Learning Book a Consultation Request Private Cohort Open in learning platform Program brief (PDF)

Curriculum

Curriculum roadmap

Spark Acceleration
NVIDIA RAPIDS
Data Science

Module 1

Spark Acceleration

Cover spark acceleration skills and implementation practices aligned to RAPIDS Accelerator for Apache Spark.

Cover spark acceleration skills
implementation practices aligned to RAPIDS Accelerator for Apache Spark

Module 2

NVIDIA RAPIDS

Cover nvidia rapids skills and implementation practices aligned to RAPIDS Accelerator for Apache Spark.

Cover nvidia rapids skills
implementation practices aligned to RAPIDS Accelerator for Apache Spark

Module 3

Data Science

Cover data science skills and implementation practices aligned to RAPIDS Accelerator for Apache Spark.

Cover data science skills
implementation practices aligned to RAPIDS Accelerator for Apache Spark

Delivery Models

Delivery models

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

Implementation-focused labs
Private cohort delivery
Intermediate practitioner depth
Business outcome alignment

Enterprise Customization

Enterprise customization

Tailor this program to your organization's priorities: Supports faster Spark adoption at scale by helping teams apply GPU acceleration to distributed data workloads.

Use your Spark jobs and datasets
Add platform sizing and rollout guidance

Credentials

Certification & official source

•NVIDIA DLI Certificate of Competency

Aligned to the official source referenced for this program.

View Official Source

Resources

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.

Program brief (PDF)View Official Source

Enterprise Proof

Trusted delivery outcomes

“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”

“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”

Banking & Finance

Representative Enterprise Banking Team

The focus was not just on tooling knowledge, but on helping teams work from a shared operating model as they adopted a more modern data platform.

Clearer platform operating model across teams
Improved confidence in modern data stack adoption

Read engagement

Delivery Capability

Enterprise-grade instruction

View delivery capability profile

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

Plan delivery