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Enterprise Program Brief

NVIDIABeginner to Intermediate

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.

Duration

2 hours

Level

Beginner to Intermediate

Format

Virtual, On-site, or Hybrid

Language

English

Enterprise Track

Ideal for

Data ScientistData ScienceTailored Team DeliveryImplementation-Focused

Audience Profile

Built for these roles

Built for teams exploring an easy entry point into accelerated data science.

Overview

Executive overview

Official NVIDIA DLI self-paced course focused on accelerating data science workflows with minimal or no code changes.

Readiness

Prerequisites

  • Basic familiarity with Python data science workflows.

Program Outcomes

Capabilities your teams will gain

Identify zero-code-change acceleration opportunities

Understand applied adoption paths for accelerated workflows

Curriculum

Curriculum roadmap

1

Acceleration overview

2

Minimal-change workflow patterns

1

Module 1

Accelerate existing workflows faster

+

Learn how to improve familiar data science workflows with minimal code changes.

  • Acceleration overview
  • Minimal-change workflow patterns

Delivery Models

Delivery models

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

Implementation-focused labsPrivate cohort deliveryBeginner to Intermediate practitioner depthBusiness 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

Aligned to the official source referenced for this program.

View Official Source

Resources

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

The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.

Head of Data Engineering

Global Financial Services Firm

Financial Services
We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.

VP of Technology

Large Healthcare Organization

Healthcare

Delivery Capability

Enterprise-grade instruction

View delivery capability profile

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

Engagement Confidence

A direct, founder-led review before scope, delivery model, and commercial terms are proposed.

Response window

< 1 business day

Client coverage

India + global teams

Engagement format

Virtual, on-site, hybrid