“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Accelerating Data Engineering Pipelines
This NVIDIA DLI program explores how to employ advanced data engineering tools and techniques with GPUs to improve pipeline performance. It is well suited for teams that want stronger pipeline efficiency before scaling more complex data and AI workloads.
Track: NVIDIA DLI Certificate of CompetencyNVIDIAIntermediateEnterprise Track
Download Program Brief (PDF)Program Snapshot
Engagement scoped to cohort
Duration8 hours
FormatVirtual, On-site, or Hybrid
LevelIntermediate
Certification TrackNVIDIA DLI Certificate of Competency
SubjectData Engineering
- MCT-led delivery
- Private cohort / virtual ILT
- Typical response: 1 business day
Scoping call typically scheduled within one business day
VNode ITeS delivers Accelerating Data Engineering Pipelines 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 practitioners who need to improve data engineering pipeline performance with GPU-enabled tools and workflow techniques.
- Data Scientist
- Data Engineering
- Tailored Team Delivery
- Implementation-Focused
Overview
Executive overview
Official NVIDIA DLI program exploring advanced tools and techniques for GPU-accelerated data engineering pipelines.
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 engineering 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.
Curriculum
Curriculum roadmap
- Data Engineering
- NVIDIA RAPIDS
- Data Science
1Module 1
Data Engineering
+
Module 1
Data Engineering
Cover data engineering skills and implementation practices aligned to Accelerating Data Engineering Pipelines.
- Cover data engineering skills
- implementation practices aligned to Accelerating Data Engineering Pipelines
2Module 2
NVIDIA RAPIDS
+
Module 2
NVIDIA RAPIDS
Cover nvidia rapids skills and implementation practices aligned to Accelerating Data Engineering Pipelines.
- Cover nvidia rapids skills
- implementation practices aligned to Accelerating Data Engineering Pipelines
3Module 3
Data Science
+
Module 3
Data Science
Cover data science skills and implementation practices aligned to Accelerating Data Engineering Pipelines.
- Cover data science skills
- implementation practices aligned to Accelerating Data Engineering Pipelines
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 and more efficient data pipeline execution by helping teams apply NVIDIA GPU-accelerated engineering techniques to modern data workflows.
- Map exercises to your ingestion and transformation pipeline patterns
- Add medallion architecture or feature-engineering emphasis
- Extend into RAPIDS and Spark acceleration adoption discussions
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
