“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
NVIDIAIntermediate
RAPIDS Accelerator for Apache Spark
Introduces the RAPIDS Accelerator for Apache Spark and the patterns teams can use to improve Spark workload performance.
Duration
8 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
NVIDIA
Spark AccelerationAI
RAPIDS Accelerator for Apache Spark
NVIDIA RAPIDS
NVIDIA
On this page
Ideal for
Data ScientistSpark AccelerationTailored Team DeliveryImplementation-Focused
How VNode delivers this
Who this is for, and how we run it
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.
Overview
Executive overview
Official NVIDIA DLI self-paced course focused on accelerating Apache Spark with the RAPIDS Accelerator.
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 spark acceleration scenarios
Strengthen capability in nvidia rapids scenarios
Strengthen capability in data science scenarios
Curriculum
Curriculum roadmap
1
Spark Acceleration
2
NVIDIA RAPIDS
3
Data Science
1Module 1
Spark Acceleration
+
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
2Module 2
NVIDIA RAPIDS
+
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
3Module 3
Data Science
+
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 labsPrivate cohort deliveryIntermediate practitioner depthBusiness 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 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