Program Outline
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.
Certification
Databricks Certified Generative AI Engineer Associate
Delivery
Virtual, On-site, or Hybrid
Duration
3 days
Product
Databricks Data Intelligence Platform
Role
AI Engineer
Databricks
Generative AI EngineeringBuild, evaluate, govern, deploy
Databricks GenAI
Best Fit
Audience Profile
Who This Program Is For
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
Program Summary
Official Databricks generative AI engineering program covering solution design, application development, evaluation, governance, deployment, and monitoring.
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
Design generative AI solution patterns
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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
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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
Coverage Areas
Topic Coverage
Coverage Item 1
Generative AI Solution Development
Coverage Item 2
Generative AI Application Development
Coverage Item 3
Generative AI Application Evaluation and Governance
Coverage Item 4
Generative AI Application Deployment and Monitoring
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •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
