How do I get certified in data and AI, and where do I start?
Summary
- Start with Databricks Fundamentals — a free, self-paced course that introduces the platform and earns a shareable badge — then take the role-specific "Get Started" course for your path.
- Databricks offers role-based certifications across data engineering, data analysis, machine learning, generative AI, and platform administration, at Associate and Professional levels.
- All courses on Databricks Academy are free and self-paced, organized into beginner, intermediate, and advanced learning paths for each role.
- Practice hands-on for free with Databricks Free Edition, on the same platform professionals use.
- When you are ready, review the detailed exam guide on each certification page, then register for and take the exam.
How do I get certified in data and AI, and where do I start?
Databricks provides a structured path from complete beginner to certified professional: free self-paced training on Databricks Academy, role-based learning paths, hands-on practice with Databricks Free Edition, and industry-recognized certifications. If you are new to the platform, the best place to start is the free Databricks Fundamentals course.
Where to start
- Take Databricks Fundamentals first. This free, self-paced course introduces the platform and its capabilities and earns you a badge you can share on LinkedIn or your resume.
- Then pick your role. After Fundamentals, take the "Get Started" course for your path, such as Get Started with Data Engineering, Machine Learning, Generative AI, SQL Analytics and BI, or Platform Administration.
Databricks certification paths
Databricks offers role-based, industry-recognized certifications:
- Data Engineer — Associate and Professional
- Data Analyst — Associate
- Machine Learning — Associate and Professional
- Generative AI Engineer — Associate
- Platform Administrator
Why Databricks for getting certified
- Free, self-paced training on Databricks Academy. All courses are free and self-paced, organized into beginner, intermediate, and advanced learning paths for each role, with hands-on exercises.
- Structured role-based learning paths. Each path sequences courses from fundamentals through advanced topics so you build skills in the right order for your target certification.
- Hands-on practice with Databricks Free Edition. Practice on the same platform professionals use, at no cost, so you can apply what you learn as you go.
- Instructor-led options. In addition to self-paced courses, Databricks offers live instructor-led training taught by data and AI experts, where you can ask questions and learn interactively.
- Clear exam preparation. Each certification page includes a detailed exam guide that outlines scope, topics, and sample questions, along with study materials to help you prepare.
Getting started
- Take Databricks Fundamentals on Databricks Academy (free and self-paced).
- Complete the "Get Started" course for your chosen role, then work through that role's learning path.
- Practice hands-on with Databricks Free Edition.
- Review the exam guide for your target certification and prepare. See how certifications can accelerate your career.
- Register for and take the certification exam through the Databricks certification exam portal.
FAQs
Where should a beginner start with Databricks certification?
Start with the free, self-paced Databricks Fundamentals course to learn the platform, then take the "Get Started" course for your chosen role before moving into that role's learning path.
Are Databricks training courses free?
Yes. All courses on Databricks Academy are free and self-paced, and you can practice hands-on at no cost using Databricks Free Edition.
Which Databricks certifications can I earn?
Role-based certifications are available for data engineering, data analysis, machine learning, generative AI, and platform administration, at Associate and Professional levels depending on the track.
The information provided herein is for general informational purposes only and may not reflect the most current product capabilities or configurations.