“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
Enhancing Data Science Outcomes with Efficient Workflows
This NVIDIA DLI program teaches teams how to create an end-to-end, hardware-accelerated machine learning pipeline for large datasets. It emphasizes diagnostics, workflow analysis, and mitigation of common performance pitfalls across the development lifecycle.
Duration
8 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
NVIDIA
Efficient WorkflowsDX
Diagnostics, optimization, throughput
NVIDIA Data Science
FLOW
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 Enhancing Data Science Outcomes with Efficient Workflows 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
Designed for experienced data science teams that want more efficient accelerated workflows, better diagnostics, and stronger operational performance at scale.
Overview
Executive overview
Official NVIDIA DLI program focused on building efficient, diagnostic-driven, hardware-accelerated machine learning workflows for large datasets.
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 Enhancing Data Science Outcomes with Efficient Workflows.
- Cover data science skills
- implementation practices aligned to Enhancing Data Science Outcomes with Efficient Workflows
2Module 2
NVIDIA RAPIDS
+
Module 2
NVIDIA RAPIDS
Cover nvidia rapids skills and implementation practices aligned to Enhancing Data Science Outcomes with Efficient Workflows.
- Cover nvidia rapids skills
- implementation practices aligned to Enhancing Data Science Outcomes with Efficient Workflows
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: Helps mature data science teams improve throughput, diagnose delays, and reduce inefficiencies across large-scale machine learning workflows.
- •Use your largest workflow pain points and representative datasets
- •Add model serving and deployment optimization follow-on sessions
- •Extend into platform observability and operational tuning practices
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