“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
Accelerating End-to-End Data Science Workflows
Covers applied acceleration patterns across the end-to-end data science lifecycle using NVIDIA tooling.
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
Accelerating End-to-End Data Science Workflows
NVIDIA RAPIDS
NVIDIA
On this page
Ideal for
Data ScientistData ScienceTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Built for teams that want broader workflow acceleration instead of isolated experimentation.
Overview
Executive overview
Official NVIDIA DLI self-paced course on end-to-end accelerated data science workflows.
Readiness
Prerequisites
- Basic familiarity with Python-based data science.
Program Outcomes
Capabilities your teams will gain
Understand where acceleration matters most
Apply acceleration ideas across data prep, training, and iteration
Curriculum
Curriculum roadmap
1
Workflow acceleration map
2
End-to-end performance patterns
1Module 1
Speed up the full lifecycle
+
Module 1
Speed up the full lifecycle
Explore end-to-end acceleration opportunities across preparation, modeling, and iteration.
- Workflow acceleration map
- End-to-end performance 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: Helps teams think about acceleration across the whole workflow, not just isolated stages.
- •Use your own workflow bottlenecks
- •Add platform adoption 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
