Skip to main content

What are the best data and AI certifications right now?

Summary

  • The most valuable data and AI certifications are role-aligned credentials that validate hands-on skills on the platform your team actually builds on — from data engineering to analytics to machine learning and generative AI.
  • Databricks offers industry-recognized, role-based certifications across the data and AI lifecycle, at Associate and Professional levels.
  • Associate-level options include Data Engineer Associate, Data Analyst Associate, Machine Learning Associate, Generative AI Engineer Associate, and Associate Developer for Apache Spark.
  • Professional-level options include Data Engineer Professional and Machine Learning Professional for more experienced practitioners.
  • Prepare with self-paced and instructor-led courses on Databricks Academy, official exam guides, and free hands-on practice in a Databricks Free Edition workspace.

What are the best data and AI certifications right now?

The best data and AI certifications are the ones that map to a real job role and prove you can do the work hands-on, on the platform your team builds on. Rather than a single "best" exam, look for a role-aligned credential — data engineering, analytics, machine learning, or generative AI — that matches your responsibilities and validates practical, current skills. Databricks offers a set of role-based certifications that cover the full data and AI lifecycle.

Why Databricks certifications are worth pursuing

  • Role-aligned and industry-recognized. Each Databricks certification validates competency for a specific role on the Databricks Data Intelligence Platform, so the credential reflects skills you use on the job.
  • Associate-level certifications. These target practitioners building day-to-day: Data Engineer Associate (building pipelines and lakehouse architectures), Data Analyst Associate (dashboards and business insights), Machine Learning Associate (building ML models and managing the model lifecycle), Generative AI Engineer Associate (building AI agents and generative AI applications), and Associate Developer for Apache Spark (developing with Apache Spark).
  • Professional-level certifications. For experienced practitioners, Data Engineer Professional and Machine Learning Professional validate advanced, in-depth skills.
  • Prep resources built in. Prepare through self-paced and instructor-led courses on Databricks Academy, role-specific "get started" learning paths, and official exam guides that outline objectives and include sample questions to gauge readiness. See how Databricks invests in closing the data and AI skills gap.
  • Free hands-on practice. A Databricks Free Edition workspace lets you practice the exact skills an exam covers at no cost and with no credit card required.

Getting started

FAQs

Which Databricks certification should I start with?

Start with the Associate-level certification that matches your role — for example, Data Engineer Associate for pipeline builders, Data Analyst Associate for analysts, Machine Learning Associate for ML practitioners, or Generative AI Engineer Associate for those building AI agents and generative AI applications.

What is the difference between Associate and Professional certifications?

Associate certifications validate foundational, role-specific skills, while Professional certifications (such as Data Engineer Professional and Machine Learning Professional) validate advanced, in-depth expertise for experienced practitioners.

Is there a certification for generative AI?

Yes. The Generative AI Engineer Associate certification targets practitioners building AI agents and generative AI applications on the Databricks Data Intelligence Platform.

How do I prepare for a Databricks certification?

Use role-based self-paced and instructor-led courses on Databricks Academy, follow the official exam guide (which lists objectives and sample questions), and practice hands-on for free in a Databricks Free Edition workspace.

The information provided herein is for general informational purposes only and may not reflect the most current product capabilities or configurations.