New to Databricks
Two free badges, ~3 hours combined. Zero commitment, LinkedIn-displayable.
- Databricks FundamentalsFree
- Generative AI FundamentalsFree
If you'll touch any AI work
Jede öffentliche Databricks-Zertifizierung und -Akkreditierung mit Kosten, Schwierigkeit, Lernstunden und aktiven Vouchers. Unabhängige Referenz, nicht verbunden. Prüfen Sie die Prüfungsdetails auf databricks.com, bevor Sie sich darauf verlassen.
17 active · 9 free · 2 new in 2026 · 1 retired
Six common journeys through the catalog. Each step links to the official Databricks page for that certification.
Two free badges, ~3 hours combined. Zero commitment, LinkedIn-displayable.
If you'll touch any AI work
Free intro, then paid Associate, then paid Professional. Skip Associate if you've shipped production Databricks pipelines for over a year.
Pass rate noticeably lower — plan 60–100h
If you're at a Databricks partner firm
Two tracks fork after the free intros: classical ML, or GenAI via the new Context Engineer Associate (free at DAIS 2026).
Classical-ML branch
GenAI branch — most current demand
BETA. Free attempt at DAIS 2026
Two certs, both under 50 study hours. The 2026 blueprint added Genie + AI/BI dashboards.
Three free accreditations cover the full admin track. Pick the cloud you actually run on.
Pick the cloud you actually run
Partner-firm-only. Requires alliance-lead sponsorship + PSAE training + a panel-reviewed case study. Champion status unlocks the DAIS voucher and quarterly roadmap NDA access.
7 badges, 1–2 hours each, claimed through Databricks Academy. Take the course, pass the quiz, earn a LinkedIn-displayable credential.
Fundamentals
Filter by audience, level, cost, or cloud. Search across name, description, and topics.
Entry-level cert for data engineers on the Data Intelligence Platform. Data ingestion + transformation, ETL with PySpark, Lakeflow Jobs + CI/CD, governance with Unity Catalog. Blueprint updated for 2026 — the most popular Databricks cert on the planet.
Prereqs: Basic SQL, beginner-level Python or Spark. Related training highly recommended.
Open on databricks.comProduction-grade data engineering: performance tuning, Delta Lake internals, security, monitoring, CI/CD for pipelines. Pass-rate is noticeably lower than Associate — plan on 60-100 hours of hands-on prep, not just study.
Prereqs: 1+ year hands-on Databricks experience; Associate-level fluency strongly recommended.
Open on databricks.comML practitioners using Databricks for the full ML lifecycle: Spark ML, MLflow tracking, AutoML, Feature Store basics, model deployment. Officially named 'ML Engineer Associate' under the 2026 branding.
Prereqs: Working knowledge of ML fundamentals and Python.
Open on databricks.comAdvanced MLOps on Databricks: production model serving, monitoring, drift detection, orchestrating end-to-end ML pipelines with CI/CD. Heavy on real production patterns — study material alone isn't enough.
Prereqs: ML Associate-level fluency; production ML experience strongly recommended.
Open on databricks.com
Free intro accreditation on the GenAI landscape on Databricks. LLM basics, RAG concepts, Mosaic AI overview, governance considerations. 60-minute course + quiz. A good warm-up before the paid GenAI Engineer Associate exam.
Prereqs: None.
Open on databricks.com
Free 90-minute course covering agent system fundamentals: simple vs agentic vs multi-agent, Agent Bricks, real-world use cases. New for 2026 — the natural follow-up to GenAI Fundamentals before the Context Engineer Associate exam.
Prereqs: Generative AI Fundamentals recommended.
Open on databricks.comFor engineers building GenAI applications on Databricks: design (14%), data prep (14%), app development (30%), deployment (22%), governance (8%), evaluation + monitoring (12%). RAG, vector search, agent frameworks, Mosaic AI Model Serving.
Prereqs: Familiarity with Python, ML concepts, and basic LLM usage patterns. Generative AI Fundamentals (free) is a useful warm-up.
Open on databricks.com
BETA launch at DAIS 2026 (June 15-18, San Francisco). Designing and governing the information AI agents receive at inference time: system prompts, vector search config, memory architectures (Lakebase + MLflow), tool integration via MCP, Unity Catalog PII handling. Onsite DAIS attendees get one free attempt.
Prereqs: 6+ months hands-on context-engineering work recommended. GenAI Engineer Associate or equivalent strongly suggested first.
Open on databricks.com
Free intro accreditation (formerly Lakehouse Fundamentals — Databricks renamed it in 2026). Data Intelligence Platform overview, Delta Lake basics, Unity Catalog basics, common use cases. Recommended as the first thing every Databricks user takes: 90 minutes, no commitment, earns a LinkedIn badge.
Prereqs: None.
Open on databricks.com
Free accreditation for platform admins: workspace setup, identity & access, networking, cost & usage management, Unity Catalog administration. The natural follow-on after the cloud-specific Platform Architect accreditation for whichever cloud you run on.
Prereqs: Familiarity with cloud admin concepts (AWS / Azure / GCP).
Open on databricks.comFree accreditation for using Databricks on AWS: workspace provisioning, IAM, S3 integration, PrivateLink, cost optimization. Renamed from 'Databricks on AWS' in 2026 to align with the Platform Architect naming.
Prereqs: Basic AWS familiarity.
Open on databricks.comFree accreditation for Azure Databricks: managed-resource integration with Azure, AAD/Entra ID, ADLS Gen2, Private Link, cost optimization.
Prereqs: Basic Azure familiarity.
Open on databricks.comFree accreditation for Databricks on Google Cloud: workspace setup, IAM, GCS integration, VPC networking, cost optimization.
Prereqs: Basic GCP familiarity.
Open on databricks.comPartner-track accreditation for solutions architects designing Lakehouse implementations for clients. Reference architectures, integration patterns, migration playbooks. Free for partner-firm employees via Partner Academy.
Prereqs: Active Databricks partner status.
Open on databricks.comTop-tier accreditation for partner-firm solutions architects. End-to-end design competency across the data + AI lifecycle. Requires the PSAE (Partner Solutions Architect Essentials) 3 half-day training, a customer case-study panel, and a defense in front of a Databricks panel + senior Champion.
Prereqs: Active Databricks partner; Lakehouse Platform Architect Accreditation + several foundational accreditations strongly recommended. Sponsorship from your firm's Databricks alliance lead required.
Open on databricks.comDatabricks runs the Customer Academy Learning Festival roughly twice a year, plus standing partner offers and one-off DAIS promotions. Vouchers generally don't stack.
Employees of active Databricks partner firms (e.g. DXC, Deloitte, Accenture) get discounted exam vouchers via the Partner Academy portal, plus access to partner-exclusive accreditations (Lakehouse Platform Architect, Solutions Architect Champion). Discount details vary by partner tier — ask your alliance lead.
Eligible: Partner Academy users · Requirement: Active Databricks partner status + Partner Academy enrollment via your firm's alliance lead.
One free attempt at the new (BETA) Context Engineer Associate exam, available only onsite at the Data + AI Summit (San Francisco, June 15-18 2026). Worth $200. Results land approximately 6 weeks post-exam.
Eligible: DAIS attendees (onsite) · Requirement: Onsite registration + walk-up at the DAIS 2026 certification testing area.
Complete one Customer Academy learning pathway between June 15 and July 6 and earn a 50% voucher (worth $100) usable on any Databricks certification exam. Also includes a 20% Academy Labs coupon. One voucher per learner.
Eligible: Customer Academy users · Requirement: Complete at least one Customer Academy learning pathway during the festival window.