“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
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
2 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
NVIDIA
Data ScienceAI
RAPIDS Accelerator for Apache Spark
Apache Spark, RAPIDS Accelerator
NVIDIA
On this page
Ideal for
Data EngineerData ScienceTailored Team DeliveryImplementation-Focused
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
- Experience with Apache Spark data processing.
Program Outcomes
Capabilities your teams will gain
Understand Spark acceleration with RAPIDS
Evaluate GPU-enabled improvements for Spark pipelines
Curriculum
Curriculum roadmap
1
Spark acceleration basics
2
RAPIDS-enabled pipeline patterns
1Module 1
Accelerate Spark workloads
+
Module 1
Accelerate Spark workloads
Learn the foundations of using RAPIDS to improve Spark performance at scale.
- Spark acceleration basics
- RAPIDS-enabled pipeline patterns
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
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
