“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Role-Based Certification PrepTrack: Databricks Certified Generative AI Engineer AssociateOfficial Source: Databricks
DatabricksIntermediate to Advanced
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
3 days
Level
Intermediate to Advanced
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
In Demand
Databricks
Generative AI EngineeringAI
Build, evaluate, govern, deploy
Databricks GenAI
GENAI
On this page
Ideal for
AI EngineerGenerative AICertification ReadinessTailored Team Delivery
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
- Python experience for AI application development.
- Working knowledge of machine learning and modern AI application concepts.
- Familiarity with notebooks, APIs, and cloud-hosted data platforms.
Program Outcomes
Capabilities your teams will gain
Design and build generative AI solutions on Databricks
Implement application patterns for enterprise GenAI use cases
Strengthen evaluation and governance practices for responsible AI delivery
Prepare applications for deployment, monitoring, and operational support
Curriculum
Curriculum roadmap
1
Generative AI Solution Development
2
Generative AI Application Development
3
Generative AI Application Evaluation and Governance
4
Generative AI Application Deployment and Monitoring
1Module 1
Design generative AI solution patterns
+
Module 1
Design generative AI solution patterns
Frame enterprise generative AI use cases and solution architecture decisions using Databricks-aligned engineering patterns and platform capabilities.
- Generative AI Solution Development
2Module 2
Build applications with modern GenAI components
+
Module 2
Build applications with modern GenAI components
Implement application workflows, orchestration patterns, and development practices required to build enterprise generative AI experiences.
- Generative AI Application Development
3Module 3
Evaluate outputs and govern delivery
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Module 3
Evaluate outputs and govern delivery
Improve confidence in GenAI systems by strengthening evaluation, governance, and responsible AI controls before broader rollout.
- Generative AI Application Evaluation and Governance
4Module 4
Deploy, observe, and maintain applications
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Module 4
Deploy, observe, and maintain applications
Prepare applications for production through deployment planning, monitoring, and operational support patterns on Databricks.
- Generative AI Application Deployment and Monitoring
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Certification readinessImplementation-focused labsPrivate cohort deliveryIntermediate to Advanced 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 Certified Generative AI Engineer Associate
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
