“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Accelerate Data Science Workflows with Zero Code Changes
Introduces structured ways to speed up existing data science workflows with minimal code change using NVIDIA acceleration capabilities.
Program Snapshot
Engagement scoped to cohort
- MCT-led delivery
- Private cohort / virtual ILT
- Typical response: 1 business day
VNode ITeS delivers Accelerate Data Science Workflows with Zero Code Changes as an MCT-led NVIDIA program for Data Scientist. Typical duration is 2 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 exploring an easy entry point into accelerated data science.
- Data Scientist
- Data Science
- Tailored Team Delivery
- Implementation-Focused
Overview
Executive overview
Official NVIDIA DLI self-paced course focused on accelerating data science workflows with minimal or no code changes.
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 Accelerate Data Science Workflows with Zero Code Changes.
- Cover data science skills
- implementation practices aligned to Accelerate Data Science Workflows with Zero Code Changes
2Module 2
NVIDIA RAPIDS
+
Module 2
NVIDIA RAPIDS
Cover nvidia rapids skills and implementation practices aligned to Accelerate Data Science Workflows with Zero Code Changes.
- Cover nvidia rapids skills
- implementation practices aligned to Accelerate Data Science Workflows with Zero Code Changes
Delivery Models
Delivery models
Engagement Fit
Engagement fit
- Implementation-focused labs
- Private cohort delivery
- Beginner practitioner depth
- Business outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Shows teams how to unlock performance gains in familiar workflows with minimal migration effort.
- Use your team’s existing notebook examples
- Add RAPIDS 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
