Choose Databricks for Spark, lakehouse engineering, ML and AI built on the Databricks platform. It can complement AWS, Azure or Google Cloud.
Choose your role-based certification and download the current exam guide.
Follow Register from the official exam page to the Databricks Webassessor / Kryterion account flow.
Select the exam, language and available appointment. Pay or apply an eligible voucher at checkout.
Complete the required system and exam-environment checks, then keep your booking confirmation.
Databricks distinguishes proctored certifications from course badges and accreditations. Training is recommended but is not mandatory for certification exams; candidates must be at least 18.
Databricks registration instructionsChoose your current role or the role you want next.
Your experience and technology stack make a difference.
Useful when Spark programming is central to the role, including data engineering work beyond one specific cloud.
Become comfortable writing and debugging Spark DataFrame transformations.
Connects data engineering with agent systems by focusing on assembling and governing useful context for AI.
Build familiarity with Databricks data, retrieval and agent workflows.
A focused choice for analysts using Databricks SQL to turn lakehouse data into business insights.
Practise SQL analysis and dashboards in Databricks.
A strong platform choice when your team engineers data in Databricks, whether hosted on AWS, Azure or Google Cloud.
Build practical SQL, Spark and Databricks pipeline experience.
A platform-specific route for building generative AI solutions around Databricks data and AI services.
Practise Python, retrieval pipelines, model serving and application evaluation.
Useful for moving from notebooks into repeatable machine learning workflows on Databricks.
Practise Python, basic model training and Databricks Machine Learning.
Fits engineers responsible for advanced, dependable data workloads on Databricks.
Gain production Databricks experience, including troubleshooting and optimising pipelines.
For experienced ML practitioners maintaining production models and their lifecycle on Databricks.
Build production ML and Databricks operational experience.
These are Global Certs IT editorial fit ratings, not official provider rankings or learner reviews. A 5/5 role match is directly aligned with the role; 4/5 adds supporting skills. Experience adjusts the score to help you distinguish a practical next step from a stretch goal.
With “Any experience”, ratings show role relevance alone. A credential supports your profile; practical skills, projects and your target employer’s technology still matter.
Official pages were checked on 2026-09-13. Bookable betas are labelled. Known retired exams are excluded from recommendations. Confirm exam versions, regional availability, eligibility and fees on the linked official page before paying.
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