Databricks Certified Generative Al Engineer
The Databricks Certified Generative AI Engineer certification validates the ability to design, build, evaluate, and deploy Generative AI solutions on the Databricks Lakehouse Platform. Offered by Databricks, this certification focuses on LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), vector search, model evaluation, and production deployment using Databricks-native tools.
- Exam Breakdown
- Domain Breakdown
- Access Breakdown
Exam Format
- Exam Title: Databricks Certified Generative AI Engineer
- Certification Provider: Databricks
- Exam Duration: 120 minutes
- Passing Score: Approximately 70%
- Exam Type: Multiple choice & multiple select
- Scored Content: All questions are scored
- Unscored Content: Not publicly specified
Exam Details
- Question Types: Multiple choice, multiple select
- Number of Questions: ~60 questions
- Hands-On Questions: No labs (scenario-based and architecture questions)
Exam Policies
- Online Proctoring: Remote proctored exam via Databricks testing partner
- Waiting Period: Immediate retake allowed (cool-down period may apply)
- Retake Fee: Full exam fee required
- Language: English
Certification Validity and Renewal
- Validity: 2 years
- Renewal Options: Retake the latest version of the exam to maintain certification
Exam Fee
- Base Fee: $200 USD
- Taxes: Country-specific VAT/GST may apply
- Example (India): GST extra as per government norms
Prerequisites
There are no mandatory prerequisites, but Databricks recommends:
- Working knowledge of Python
- Understanding of machine learning & deep learning basics
- Familiarity with LLMs and transformers
- Experience using Databricks notebooks
- Basic understanding of cloud AI services
Exam Topics
- Based on official Databricks exam blueprint:
- Generative AI fundamentals & LLM architectures
- Prompt engineering techniques
- Fine-tuning & parameter-efficient tuning (LoRA, adapters)
- Retrieval Augmented Generation (RAG)
- Vector databases & similarity search
- Model evaluation & hallucination mitigation
- MLflow for experiment tracking
- Model registry & deployment
- Responsible AI & governance
- Cost optimization & performance tuning
- Monitoring & feedback loops
- Security for GenAI workloads
Intended Audience
- Ideal for professionals working with AI systems:
- Generative AI Engineers
- Machine Learning Engineers
- Data Scientists
- AI Application Developers
- Cloud AI Engineers
Career Impact
Jobs You Can Get:
- Generative AI Engineer
- AI Engineer
- Machine Learning Engineer
- Applied Scientist
- LLM Application Developer
Average Salary:
- U.S.: $95,000–$140,000 USD,
- India: ₹8,00,000–₹18,00,000 INR,
- United Kingdom: £50,000–£85,000 GBP,
- UAE: 180,000–300,000 AED per year.
Why It’s Valuable:
- Validates your ability to build production-grade GenAI applications using modern lakehouse architecture and enterprise-ready MLOps practices.
Exam Mode
- Online proctored exam
- Available globally
Exam Booking Link
- Book the exam through Databricks official certification portal:
https://www.databricks.com/learn/certification
After passing:
- Digital certificate & badge available in your Databricks account
- Shareable credential via Credly
Offers
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Top Reasons to Choose
Databricks Certified Generative Al Engineer
Hands-On LLM and AI Development Knowledge
The certification focuses on prompt engineering, model deployment, vector search, and AI application development. Professionals gain practical knowledge to build scalable AI solutions using modern generative AI tools and workflows.
Rising Demand for Generative AI Skills
Organizations increasingly adopt generative AI technologies to automate workflows and enhance decision-making. This certification validates practical skills in building AI applications, managing models, and deploying enterprise generative AI solutions.
Career Growth and Industry Recognition
Databricks certification demonstrates expertise in generative AI and modern AI platforms. It enhances professional credibility, supports career advancement in AI engineering roles, and validates in-demand enterprise AI implementation skills.
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FAQ
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How difficult is the Databricks Certified Generative Al Engineer Associate exam?
The exam is considered moderately challenging because it requires understanding generative AI concepts, LLM workflows, and model deployment processes. Candidates must understand prompt engineering and AI application development. Hands-on experience with machine learning and AI tools significantly improves preparation and success.
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Who should take the Databricks Certified Generative Al Engineer Associate exam?
The exam is designed for AI engineers, data scientists, and developers working with generative AI applications. It is suitable for professionals building AI-powered solutions, deploying models, and managing machine learning workflows using modern data and AI platforms.
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Why does Databricks offer the Certified Generative Al Engineer Associate certification?
Databricks offers this certification to validate generative AI development skills required for modern enterprise AI solutions. The certification helps organizations identify professionals capable of building AI applications, managing models, and implementing scalable AI workflows using Databricks technologies and best practices.
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What tools and resources can be used to prepare for the Databricks Certified Generative Al Engineer Associate exam?
Candidates can prepare using Databricks Academy training courses, official documentation, and hands-on practice with generative AI tools. Working with LLMs, prompt engineering, and model deployment workflows helps build practical experience aligned with certification objectives.
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Is the Databricks Certified Generative Al Engineer Associate certification still valuable in 2026?
Yes, the certification remains valuable in 2026 as organizations continue adopting generative AI technologies. The credential validates practical AI development skills, supporting careers in artificial intelligence, machine learning engineering, and enterprise AI platform development.
