“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
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
Databricks
Generative AI EngineeringBuild, evaluate, govern, deploy
Databricks GenAI
On this page
Ideal for
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
Generative AI
Databricks Data Intelligence Platform
1Module 1
Generative AI
+
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
2Module 2
Databricks Data Intelligence Platform
+
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
Engagement Fit
Engagement fit
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 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
