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Enterprise Program Brief

Role-Based Certification PrepTrack: Databricks Academy learning planOfficial Source: Databricks
DatabricksIntermediate

Generative AI Engineering with Databricks

This program is built around Databricks generative AI engineering guidance and prepares teams to create enterprise-grade generative AI applications on the Databricks platform. It covers solution design, application development, evaluation and governance, and production deployment and monitoring for real-world GenAI delivery.

Duration

2 days

Level

Intermediate

Format

Virtual, On-site, or Hybrid

Language

English

In Demand

Ideal for

ML / AI EngineerGenerative AICertification ReadinessTailored Team Delivery

How VNode delivers this

Who this is for, and how we run it

VNode ITeS delivers Generative AI Engineering with Databricks as an MCT-led Databricks program for ML / AI Engineer. Typical duration is 2 days (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Certification prep maps to the official exam outline without turning the week into a dump of Learn modules. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.

Audience Profile

Built for these roles

Built for data scientists, AI engineers, machine learning engineers, and related practitioners who want to build generative AI applications using Databricks capabilities and modern enterprise GenAI frameworks.

Overview

Executive overview

Official Databricks generative AI engineering program covering solution design, application development, evaluation, governance, deployment, and monitoring.

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 generative ai scenarios

Strengthen capability in databricks data intelligence platform scenarios

Curriculum

Curriculum roadmap

1

Generative AI

2

Databricks Data Intelligence Platform

1

Module 1

Generative AI

+

Cover generative ai skills and implementation practices aligned to Generative AI Engineering with Databricks.

  • Cover generative ai skills
  • implementation practices aligned to Generative AI Engineering with Databricks
2

Module 2

Databricks Data Intelligence Platform

+

Cover databricks data intelligence platform skills and implementation practices aligned to Generative AI Engineering with Databricks.

  • Cover databricks data intelligence platform skills
  • implementation practices aligned to Generative AI Engineering with Databricks

Delivery Models

Delivery models

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

Certification readinessImplementation-focused labsPrivate cohort deliveryIntermediate practitioner depth

Enterprise Customization

Enterprise customization

Tailor this program to your organization's priorities: Gives teams a structured path to build, evaluate, govern, and operationalize generative AI solutions on Databricks using current enterprise patterns.

  • Use your assistant, RAG, or internal AI scenario as the workshop basis
  • Add governance and evaluation depth for regulated environments
  • Extend into platform architecture and rollout planning for enterprise adoption

Credentials

Certification & official source

  • Databricks Academy learning plan

Aligned to the official Databricks training catalog and certification guidance for this program.

View Databricks Training 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