“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 End-to-End Data Science Workflows
Covers applied acceleration patterns across the end-to-end data science lifecycle using NVIDIA tooling.
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 Science
- MCT-led delivery
- Private cohort / virtual ILT
- Typical response: 1 business day
Scoping call typically scheduled within one business day
VNode ITeS delivers Accelerating End-to-End Data Science 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
Built for teams that want broader workflow acceleration instead of isolated experimentation.
- Data Scientist
- Data Science
- Tailored Team Delivery
- Implementation-Focused
Overview
Executive overview
Official NVIDIA DLI self-paced course on end-to-end accelerated data science workflows.
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
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 Science
- NVIDIA RAPIDS
1Module 1
Data Science
+
Module 1
Data Science
Cover data science skills and implementation practices aligned to Accelerating End-to-End Data Science Workflows.
- Cover data science skills
- implementation practices aligned to Accelerating End-to-End Data Science Workflows
2Module 2
NVIDIA RAPIDS
+
Module 2
NVIDIA RAPIDS
Cover nvidia rapids skills and implementation practices aligned to Accelerating End-to-End Data Science Workflows.
- Cover nvidia rapids skills
- implementation practices aligned to Accelerating End-to-End Data Science Workflows
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: 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
- •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
